{"id":52041,"date":"2024-08-15T21:56:40","date_gmt":"2024-08-15T13:56:40","guid":{"rendered":"https:\/\/swarma.org\/?p=52041"},"modified":"2024-08-15T21:56:40","modified_gmt":"2024-08-15T13:56:40","slug":"%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%e8%87%aa%e5%8a%a8%e5%bb%ba%e6%a8%a1%e8%af%bb%e4%b9%a6%e4%bc%9a%ef%bc%9a%e4%bb%8e%e6%95%b0%e6%8d%ae%e9%a9%b1%e5%8a%a8%e5%88%b0%e5%8f%af%e8%a7%a3%e9%87%8a%e6%80%a7","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=52041","title":{"rendered":"\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u8bfb\u4e66\u4f1a\uff1a\u4ece\u6570\u636e\u9a71\u52a8\u5230\u53ef\u89e3\u91ca\u6027\uff0c\u63a2\u7d22\u7cfb\u7edf\u5185\u5728\u89c4\u5f8b\uff5c\u5185\u964475\u7bc7\u9886\u57df\u5fc5\u8bfb\u6587\u732e"},"content":{"rendered":"<div class='wxsyncmain'>\n<section powered-by=\"xiumi.us\" style=\"margin-bottom: 0px;outline: 0px;font-family: &quot;PingFang SC&quot;, system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, 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powered-by=\"xiumi.us\" style=\"margin-top: 5px;margin-bottom: 5px;outline: 0px;color: rgb(63, 63, 63);font-family: PingFangSC-light;font-size: 15px;letter-spacing: 0.544px;visibility: visible;\">\n<section style=\"padding-right: 8px;padding-left: 8px;outline: 0px;font-size: 13px;line-height: 2;letter-spacing: 0.544px;visibility: visible;text-align: right;\"><strong style=\"outline: 0px;letter-spacing: 0.578px;text-indent: 0em;font-size: 15px;visibility: visible;\"><\/strong><\/section>\n<\/section>\n<section powered-by=\"xiumi.us\" style=\"margin-top: 5px;margin-bottom: 5px;outline: 0px;color: rgb(63, 63, 63);font-family: PingFangSC-light;font-size: 15px;letter-spacing: 0.544px;visibility: visible;\">\n<section style=\"padding-right: 8px;padding-left: 8px;outline: 0px;font-size: 13px;line-height: 2;letter-spacing: 0.544px;visibility: visible;\"><strong style=\"outline: 0px;letter-spacing: 0.544px;visibility: visible;\"><strong style=\"outline: 0px;visibility: 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&quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u590d\u6742\u7cfb\u7edf\u7531\u5927\u91cf\u76f8\u4e92\u4ea4\u4e92\u7684\u5143\u7d20\u6784\u6210\u5e76\u4ea7\u751f\u590d\u6742\u7684\u96c6\u4f53\u884c\u4e3a\uff0c\u5728\u81ea\u7136\u754c\u548c\u4eba\u7c7b\u793e\u4f1a\u4e2d\u5e7f\u6cdb\u5b58\u5728\uff0c\u4f8b\u5982\u5927\u8111\u795e\u7ecf\u5143\u7f51\u7edc\u3001\u9e1f\u7fa4\u3001\u4ea4\u901a\u7f51\u7edc\u3001\u75be\u75c5\u4f20\u64ad\u7b49\u3002\u7814\u7a76\u590d\u6742\u7cfb\u7edf\u7684\u5efa\u6a21\u548c\u8c03\u63a7\u5bf9\u4e8e\u7406\u89e3\u548c\u5f15\u5bfc\u590d\u6742\u7cfb\u7edf\u7684\u884c\u4e3a\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><img class=\"rich_pages wxw-img\" data-height=\"999\" data-imgfileid=\"100213142\" data-ratio=\"0.5546296296296296\"  data-type=\"png\" data-w=\"1080\" data-width=\"1802\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-56f1297ed8d32951c78855598706e01b.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u9762\u5bf9\u4e00\u4e2a\u771f\u5b9e\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u6211\u4eec\u5982\u4f55\u63d0\u70bc\u5e95\u5c42\u7684\u673a\u5236\u3001\u6784\u5efa\u7b80\u5355\u6a21\u578b\uff1f<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd9\u4e9b\u628a\u63e1\u4f4f\u7cfb\u7edf\u672c\u8d28\u7684\u7b80\u5355\u89c4\u5219\u4ece\u4f55\u800c\u6765\uff1f<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u7cfb\u7edf\uff0c\u4f8b\u5982\u57fa\u56e0\u8c03\u63a7\u7cfb\u7edf\u3001\u793e\u4f1a\u7ecf\u6d4e\u7cfb\u7edf\uff0c\u6211\u4eec\u9762\u5bf9\u5e9e\u6742\u7684\u6570\u636e\u548c\u590d\u6742\u7684\u7cfb\u7edf\u72b6\u6001\uff0c\u8981\u5982\u4f55\u505a\u51fa\u5047\u8bbe\uff1f<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u53d1\u5c55\uff0c\u6709\u6ca1\u6709\u53ef\u80fd\u8bbe\u8ba1\u51fa\u4e00\u4e2a\u81ea\u52a8\u5316\u7684\u7cfb\u7edf\uff0c\u6839\u636e\u4e0d\u540c\u7684\u4efb\u52a1\u9700\u6c42\uff0c\u80fd\u591f\u901a\u8fc7\u89c2\u5bdf\u6570\u636e\uff0c\u6216\u8005\u662f\u6d1e\u5bdf\u89c4\u5f8b\uff0c\u5bf9\u5404\u5f0f\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\uff1f<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd9\u4e9b\u6838\u5fc3\u7684\u95ee\u9898\uff0c\u90fd\u8feb\u5207\u9700\u8981\u6211\u4eec\u6709\u66f4\u597d\u7684\u65b9\u6cd5\u548c\u624b\u6bb5\uff0c\u53bb\u7406\u89e3\u590d\u6742\u7cfb\u7edf\u7684\u5185\u90e8\u673a\u5236\u3001\u9884\u6d4b\u7cfb\u7edf\u7684\u672a\u6765\u884c\u4e3a\uff0c\u4ece\u800c\u80fd\u591f\u66f4\u6709\u6548\u5730\u5e72\u9884\u548c\u63a7\u5236\u590d\u6742\u7cfb\u7edf\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u65e9\u57282020\u5e74\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u6559\u6388\u5f20\u6c5f\u53d1\u8d77\u4e86<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247522354&amp;idx=1&amp;sn=980be501fd4628eccfd840fcf5c988e2&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;color: rgb(0, 122, 170);text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u8bfb\u4e66\u4f1a\u7b2c\u4e00\u5b63\uff0c\u91cd\u70b9\u68b3\u7406\u4e86AI\u81ea\u52a8\u5efa\u6a21\u7684\u6d41\u7a0b\u4ee5\u53caAI\u81ea\u52a8\u5efa\u6a21\u7684\u4e94\u4e2a\u53d1\u5c55\u9636\u6bb5<\/span><\/a><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c\u662f\u8be5\u9886\u57df\u6700\u65e9\u7684\u7efc\u8ff0\u6027\u5206\u4eab\u4e4b\u4e00\u3002\u968f\u7740\u8fd1\u5e74\u6765\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u53d1\u5c55\uff0c\u8fd9\u4e2a\u9886\u57df\u6709\u4e86\u66f4\u591a\u7684\u5b66\u8005\u5173\u6ce8\uff0c\u65b0\u7684\u7814\u7a76\u65b9\u6cd5\u4e5f\u5982\u96e8\u540e\u6625\u7b0b\u822c\u6d8c\u73b0\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u7ec4\u7ec7\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\uff0c\u65e8\u5728\u5e2e\u52a9\u96c6\u667a\u793e\u533a\u6210\u5458\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u8be5\u9886\u57df\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u63a2\u8ba8\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"389\" data-imgfileid=\"100213140\" data-ratio=\"0.36018518518518516\"  data-type=\"jpeg\" data-w=\"1080\" data-width=\"1080\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-a9b464cf30725f5bdc405459e0b92a0f.jpeg\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"250\" data-imgfileid=\"100213138\" data-ratio=\"0.45126353790613716\"  data-type=\"jpeg\" data-w=\"554\" data-width=\"554\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-4c0a9662cfd96099966f721372a80256.jpeg\"  \/><\/section>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u8bfb\u4e66\u4f1a\u6846\u67b6<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5f53\u524d\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u7814\u7a76\u4e3b\u8981\u805a\u7126\u4e8e\u4e09\u4e2a\u6838\u5fc3\u9886\u57df\uff1a<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u9996\u5148\uff0c\u65f6\u95f4\u7ef4\u5ea6\u4e0a\u7684\u52a8\u529b\u5b66\u5efa\u6a21\uff0c\u65e8\u5728\u6355\u6349\u7cfb\u7edf\u968f\u65f6\u95f4\u6f14\u5316\u7684\u7279\u6027\uff1b<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5176\u6b21\uff0c\u7a7a\u95f4\u7ef4\u5ea6\u4e0a\u7684\u5143\u7d20\u4ea4\u4e92\u5173\u7cfb\u5efa\u6a21\uff0c\u81f4\u529b\u4e8e\u63ed\u793a\u7cfb\u7edf\u5185\u90e8\u7ec4\u6210\u5355\u5143\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u673a\u5236\uff1b<\/span><\/p>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6700\u540e\uff0c\u57fa\u4e8e\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u65e2\u6709\u8ba4\u77e5\u548c\u7406\u89e3\uff0c\u63a2\u7d22\u7cfb\u7edf\u7684\u5b9a\u5411\u8bbe\u8ba1\u65b9\u6cd5\u3002<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd9\u4e09\u4e2a\u65b9\u9762\u7684\u7814\u7a76\u76f8\u8f85\u76f8\u6210\uff0c\u5171\u540c\u63a8\u52a8\u4e86\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u7684\u5168\u9762\u53d1\u5c55\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6240\u4ee5\u672c\u5b63\u8bfb\u4e66\u4f1a\uff0c\u6211\u4eec\u56f4\u7ed5\u7740\u4e09\u4e2a\u6838\u5fc3\u95ee\u9898\uff0c\u8bbe\u8ba1\u4e86\u56db\u4e2a\u6838\u5fc3\u6a21\u5757\uff0c\u5305\u542b\u4e8617\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u65b9\u6cd5\uff0c\u6d89\u53ca\u523075\u7bc7\u7ecf\u5178\u3001\u524d\u6cbf\u7684\u91cd\u8981\u6587\u732e\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-cropselx1=\"0\" data-cropselx2=\"562\" data-cropsely1=\"0\" data-cropsely2=\"768\" data-imgfileid=\"100213250\" data-ratio=\"1.3661119515885023\" data-s=\"300,640\"  data-type=\"jpeg\" data-w=\"661\" style=\"width: 562px;height: 768px;\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-cbeab665fd29211ee1075d4f0927c51d.png\"  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6211\u4eec\u5e0c\u671b\u901a\u8fc7\u7814\u8bfb\u8fd9\u4e9b\u6587\u732e\uff0c\u4ece\u9ed1\u76d2\uff08\u6570\u636e\u9a71\u52a8\uff09\u5230\u767d\u76d2\uff08\u53ef\u89e3\u91ca\u6027\uff09\uff0c\u9010\u6b65\u6355\u6349\u7cfb\u7edf\u7684\u201c\u672c\u8d28\u201d\u89c4\u5f8b\uff0c\u5e2e\u52a9\u5927\u5bb6\u66f4\u597d\u7684\u8ba4\u8bc6\u3001\u7406\u89e3\u3001\u9884\u6d4b\u3001\u63a7\u5236\u3001\u8bbe\u8ba1\u590d\u6742\u7cfb\u7edf\uff0c\u4e3a\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u548c\u5e94\u7528\u63d0\u4f9b\u6d1e\u89c1\u3002<\/span><\/section>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u53d1\u8d77\u4eba\u4ecb\u7ecd<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213144\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-a32cf4300b06b7aeb2147c3ec63efcea.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u6731\u7fa4\u559c<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c\u590d\u65e6\u5927\u5b66\u667a\u80fd\u590d\u6742\u4f53\u7cfb\u5b9e\u9a8c\u5ba4\u9752\u5e74\u7814\u7a76\u5458\u3002\u81f4\u529b\u4e8e\u590d\u6742\u7cfb\u7edf\u548c\u673a\u5668\u5b66\u4e60\u524d\u6cbf\u7684\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76\uff0c\u5728\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u3001\u91cd\u6784\u3001\u9884\u6d4b\u548c\u667a\u80fd\u8c03\u63a7\u4ee5\u53ca\u590d\u6742\u7cfb\u7edf\u9a71\u52a8\u7684\u673a\u5668\u5b66\u4e60\u9886\u57df\u505a\u51fa\u4e86\u4e00\u7cfb\u5217\u5de5\u4f5c\uff0c\u76f8\u5173\u6210\u679c\u4ee5\u7b2c\u4e00\u6216\u901a\u8baf\u4f5c\u8005\u5728\u7efc\u5408\u6027\u3001\u63a7\u5236\u3001\u6570\u5b66\u3001\u7269\u7406\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u9876\u7ea7\/\u4e00\u6d41\u5b66\u672f\u520a\u7269\u53d1\u8868\u6587\u7ae020\u4f59\u7bc7\uff0c\u7814\u7a76\u6210\u679c\u5f97\u5230\u540c\u884c\u5927\u5bb6\u7684\u5173\u6ce8\u548c\u5f15\u7528 (Edward Ott\u3001J\u00fcrgen Kurths\u3001\u66f9\u8fdb\u5fb7\u3001\u6842\u536b\u534e\u7b49\u9662\u58eb, Google Research\u3001UC Berkeley\u3001\u725b\u6d25\u5927\u5b66\u3001\u5251\u6865\u5927\u5b66\u548c\u9ebb\u7701\u7406\u5de5\u7b49\u77e5\u540d\u6559\u6388\u4e13\u5bb6\u56e2\u961f)\uff0c \u4ee5\u53ca\u56fd\u9645\u77e5\u540d\u5b66\u672f\/\u79d1\u6280\u7f51\u7ad9\u7684\u62a5\u9053(Phys.org, techxplore.com)\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e2a\u4eba\u4e3b\u9875\uff1aqunxizhu.cn<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213146\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-649955fc990eea9d2550527b35dc2cf0.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u674e\u6a35\u98ce\uff0c<\/strong>\u6d59\u6c5f\u5927\u5b66\u767e\u4eba\u8ba1\u5212\u7814\u7a76\u5458\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u83b7\u56fd\u5bb6\u9ad8\u5c42\u6b21\u4eba\u624d\u8ba1\u5212\uff08\u6d77\u5916\uff09\u8d44\u52a9\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\uff1a\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u79d1\u5b66\u8ba1\u7b97\u3001\u667a\u80fd\u7cfb\u7edf\u611f\u77e5\u3001\u590d\u6742\u7ed3\u6784\u52a8\u529b\u5b66\u53cd\u95ee\u9898\u7b49\u3002\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5728PRL\u3001Science Robotics\u3001EML\u3001MSSP\u3001Applied Energy\u7b49\u9886\u57df\u91cd\u8981\u671f\u520a\u4e0a\u53d1\u8868\u8bba\u658720\u7bc7\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bfe\u9898\u7ec4\u4e3b\u9875\uff1ahttps:\/\/www.ligroupzju.com<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><br  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213244\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-e127da7b4079f30d8384a12a2eca569e.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u4e01\u749f\u97ec<\/strong>\uff0c\u6e05\u534e\u5927\u5b66\u7535\u5b50\u5de5\u7a0b\u7cfb\u6570\u636e\u79d1\u5b66\u4e0e\u667a\u80fd\u5b9e\u9a8c\u5ba4\u535a\u58eb\u540e\u7814\u7a76\u5458\uff0c\u4e8e\u6e05\u534e\u5927\u5b66\u7535\u5b50\u5de5\u7a0b\u7cfb\u83b7\u5f97\u5b66\u58eb\u3001\u535a\u58eb\u5b66\u4f4d\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3aAI\u9a71\u52a8\u7684\u65f6\u7a7a\u590d\u6742\u7cfb\u7edf\u751f\u6210\u5f0f\u5efa\u6a21\u53ca\u5e94\u7528\uff0c\u5728NeurIPS\u3001ICLR\u3001KDD\u3001WWW\u3001AAAI\u3001IJCAI\u7b49\u56fd\u9645\u4f1a\u8bae\u4e0e\u671f\u520a\u53d1\u8868\u5b66\u672f\u8bba\u658750\u4f59\u7bc7\uff0c\u62c5\u4efbPLOS Complex Systems\u7684\u5b66\u672f\u7f16\u8f91\uff08Academic Editor\uff09\u4ee5\u53caKDD\u3001NeurIPS\u3001ICML\u3001ICLR\u3001AAAI\u7b49\u56fd\u9645\u4f1a\u8bae\u7684\u7a0b\u5e8f\u59d4\u5458\u4f1a\u59d4\u5458\uff08PC member\uff09\uff0c\u66fe\u83b72018\u5e74\u56fd\u9645\u4e07\u7ef4\u7f51\u5927\u4f1a\uff08WWW 2018\uff09\u6700\u4f73\u6d77\u62a5\u8bba\u6587\u5956\u3001\u56fd\u9645\u4f1a\u8baeIEEE IWCWC 2019\u3001ACM HotPOST 2015\u6700\u4f73\u8bba\u6587\u5956\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3b\u9875 https:\/\/scholar.google.com\/citations?user=_TAJECAAAAAJ<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213145\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-9b999b02c23c0703a07ac83326336852.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u9ad8\u5a77\u5a77<\/strong>\uff0c\u7f8e\u56fd\u4e1c\u5317\u5927\u5b66\u7269\u7406\u7cfb\u535a\u58eb\u540e\uff0c\u7531Albert-L\u00e1szl\u00f3 Barab\u00e1si\u6559\u6388\u6307\u5bfc\uff1b\u535a\u58eb\u6bd5\u4e1a\u4e8e\u540c\u6d4e\u5927\u5b66\uff0c\u5bfc\u5e08\u4e3a\u4e25\u94a2\u6559\u6388\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u6570\u636e\u9a71\u52a8\u7684\u590d\u6742\u7f51\u7edc\u63a8\u65ad\u7406\u8bba\u53ca\u5e94\u7528\uff0c\u5f00\u53d1\u4e86\u7528\u4e8e\u4ece\u542b\u566a\u548c\u4e0d\u5b8c\u6574\u6570\u636e\u4e2d\u63a8\u65ad\u590d\u6742\u7f51\u7edcODE\u7684Two-Phase\u63a8\u65ad\u6846\u67b6\uff0c\u4ee5\u53ca\u57fa\u4e8e\u6d88\u606f\u4f20\u9012\u673a\u5236\u7684\u3001\u4ece\u968f\u673a\u52a8\u529b\u5b66\u7cfb\u7edf\u89c2\u6d4b\u6570\u636e\u63a8\u65ad\u590d\u6742\u7cfb\u7edfSDE\u7684LaGNA\u6846\u67b6\uff1b\u76ee\u524d\u7684\u7814\u7a76\u5174\u8da3\u4e3b\u8981\u4e3aAI for Complex System\u548c\u7269\u7406\u7f51\u7edc\uff08Physical Network\uff09\u7684\u7406\u8bba\u53ca\u5e94\u7528\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100213245\" data-ratio=\"0.562962962962963\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1080\" style=\"\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-dfa7b3aacd0d9768d45d023d3d40d3bc.png\"  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><br  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\"><strong>\u66f9\u6587\u797a<\/strong>\uff0c\u5317\u4eac\u5927\u5b66\u535a\u96c5\u535a\u58eb\u540e\u3002\u535a\u58eb\u6bd5\u4e1a\u4e8e\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u63a7\u5236\u79d1\u5b66\u4e0e\u5de5\u7a0b\u4e13\u4e1a\uff0c\u66fe\u8bbf\u95ee\u610f\u5927\u5229\u5e15\u591a\u74e6\u5927\u5b66\u3001\u65e5\u672c\u7389\u5ddd\u5b66\u9662\u7b49\u3002\u7814\u7a76\u5174\u8da3\u4e3a\u4f4e\u79e9\u968f\u673a\u8fc7\u7a0b\u7406\u8bba\u7684\u5efa\u6a21\u4e0e\u4f30\u8ba1\uff0c\u53d1\u8868\u8bba\u6587\u5341\u4f59\u7bc7\uff0c\u5305\u62ecIEEE Transactions on Automatic Control\uff0cAutomatica\uff0cSIAM Journal on Optimization and Control\u7b49\u957f\u6587\u3002\u8363\u83b7\u56fd\u5bb6\u8d44\u52a9\u535a\u58eb\u540e\u7814\u7a76\u4eba\u5458\u8ba1\u5212\u3001\u5317\u4eac\u5927\u5b66\u535a\u96c5\u535a\u58eb\u540e\u9879\u76ee\u8d44\u52a9\u3002https:\/\/www.researchgate.net\/profile\/Wenqi-Cao-2 \u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213147\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-af0f09c375a5fa59f72d3b8cab5ea98a.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u8d75\u4f2f\u6797<\/strong>\uff0c\u590d\u65e6\u5927\u5b66\u6570\u5b66\u79d1\u5b66\u5b66\u9662\u5e94\u7528\u6570\u5b66\u65b9\u5411\u535a\u58eb\u7814\u7a76\u751f\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u590d\u6742\u7cfb\u7edf\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u4ea4\u53c9\u9886\u57df\uff0c\u5305\u62ec\u590d\u6742\u52a8\u529b\u7cfb\u7edf\u7684\u5efa\u6a21\u3001\u9884\u6d4b\u3001\u8fa8\u8bc6\u3001\u53d8\u70b9\u68c0\u6d4b\u4ee5\u53ca\u56e0\u679c\u63a8\u65ad\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">https:\/\/www.researchgate.net\/profile\/Bolin-Zhao-5<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><img class=\"rich_pages wxw-img\" data-height=\"1080\" data-imgfileid=\"100213150\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"1920\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-cfd96ee674df57258af96558734b3ba3.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong>\u725f\u7267\u4e91<\/strong>\uff0c\u5317\u4eac\u5e08\u8303\u5927\u5b66\u7cfb\u7edf\u79d1\u5b66\u5b66\u9662\u535a\u58eb\u751f\uff0c\u5f20\u6c5f\u8001\u5e08\u56e0\u679c\u6d8c\u73b0\u7814\u7a76\u5c0f\u7ec4\u6210\u5458\u3002\u7814\u7a76\u65b9\u5411\uff1a\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u4e0e\u8c03\u63a7\u3001\u5f3a\u5316\u5b66\u4e60\u4e16\u754c\u6a21\u578b\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u62a5\u540d\u53c2\u4e0e\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u8fd0\u884c\u6a21\u5f0f<\/strong><\/span><\/h3>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4ece2024\u5e749\u67087\u65e5\u5f00\u59cb\uff0c\u5468\u516d20:00-22:00\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba1 8-10 \u5468\u5de6\u53f3<\/span><\/strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c\u6309\u8bfb\u4e66\u4f1a\u6846\u67b6\u8bbe\u8ba1\uff0c\u6bcf\u5468\u8fdb\u884c\u7ebf\u4e0a\u4f1a\u8bae\uff0c\u4e0e\u4e3b\u8bb2\u4eba\u7b49\u793e\u533a\u6210\u5458\u5f53\u9762\u4ea4\u6d41\uff0c\u4f1a\u540e\u53ef\u4ee5\u83b7\u5f97\u89c6\u9891\u56de\u653e\u6301\u7eed\u5b66\u4e60\u3002<\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><strong><br  \/><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><strong>\u62a5\u540d\u65b9\u5f0f<\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e00\u6b65\uff1a\u626b\u7801\u586b\u5199\u62a5\u540d\u4fe1\u606f\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;text-align: center;\"><br  \/><\/section>\n<section style=\"text-align: center;margin-bottom: 0px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100213242\" data-ratio=\"1\" data-s=\"300,640\"  data-type=\"png\" data-w=\"296\" style=\"width: 181px;height: 181px;\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-86aceb0fded6c6d38562222a6511b025.png\"  \/><\/section>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">\u626b\u7801\u62a5\u540d\uff08\u53ef\u5f00\u53d1\u7968\uff09<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e8c\u6b65\uff1a\u586b\u5199\u4fe1\u606f\u540e\uff0c\u4ed8\u8d39\u62a5\u540d\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);\"><em><span style=\"font-size: 15px;\">\u5982\u9700\u7528\u652f\u4ed8\u5b9d\u652f\u4ed8\uff0c\u8bf7\u5728PC\u7aef\u8fdb\u5165\u8bfb\u4e66\u4f1a\u9875\u9762\u62a5\u540d\u652f\u4ed8\uff1ahttps:\/\/pattern.swarma.org\/study_group\/51<\/span><\/em><\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7b2c\u4e09\u6b65\uff1a\u6dfb\u52a0\u8fd0\u8425\u8d1f\u8d23\u4eba\u5fae\u4fe1\uff0c\u83b7\u53d6\u6240\u6709\u63a8\u8350\u8bba\u6587\u8d44\u6e90\u5305\uff0c\u62c9\u5165\u5bf9\u5e94\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\u793e\u533a\uff08\u5fae\u4fe1\u7fa4\uff09\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">PS\uff1a\u4e3a\u786e\u4fdd\u4e13\u4e1a\u6027\u548c\u8ba8\u8bba\u7684\u805a\u7126\uff0c\u672c\u8bfb\u4e66\u4f1a\u8c22\u7edd\u8131\u79bb\u8bfb\u4e66\u4f1a\u4e3b\u9898\u548c\u590d\u6742\u79d1\u5b66\u95ee\u9898\u672c\u8eab\u7684\u7a7a\u6cdb\u7684\u54f2\u5b66\u548c\u601d\u8fa8\u5f0f\u8ba8\u8bba\uff1b<strong>\u5982\u679c\u51fa\u73b0\u8ba8\u8bba\u5185\u5bb9\u4e0d\u7b26\u5408\u8981\u6c42\u3001\u7ecf\u63d0\u9192\u65e0\u6548\u8005\uff0c<\/strong><strong>\u4f1a\u88ab\u79fb\u9664\u7fa4\u804a\u5e76\u5bf9\u672a\u53c2\u4e0e\u90e8\u5206\u9000\u8d39\u3002<\/strong><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><strong><span style=\"font-size: 15px;color: rgb(33, 166, 210);\"><br  \/><\/span><\/strong><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(33, 166, 210);\">\u52a0\u5165\u793e\u533a\u540e\u53ef\u4ee5\u83b7\u5f97\u7684\u8d44\u6e90\uff1a<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5b8c\u6574\u6743\u9650\uff0c\u5305\u62ec<strong>\u7ebf\u4e0a\u95ee\u7b54\u3001\u5f55\u64ad\u56de\u770b\u3001\u8d44\u6599\u5171\u4eab\u3001\u793e\u7fa4\u4ea4\u6d41\u3001\u4fe1\u606f\u540c\u6b65\u3001\u5171\u521b\u4efb\u52a1\u83b7\u53d6\u79ef\u5206\u7b49<\/strong>\u3002<\/span><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><img class=\"rich_pages wxw-img\" data-height=\"540\" data-imgfileid=\"100213151\" data-ratio=\"0.5625\"  data-type=\"png\" data-w=\"960\" data-width=\"960\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-1fa7b65ff3340bd082ff82f8b45cc60b.png\"  \/><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(33, 166, 210);\">\u53c2\u4e0e\u5171\u521b\u4efb\u52a1\u83b7\u53d6\u79ef\u5206\uff0c\u5171\u5efa\u5b66\u672f\u793e\u533a\uff1a<\/span><\/strong><\/h3>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8bfb\u4e66\u4f1a\u91c7\u7528\u5171\u5b66\u5171\u7814\u673a\u5236\uff0c\u6210\u5458\u901a\u8fc7\u5185\u5bb9\u5171\u521b\u83b7\u79ef\u5206\uff08<strong>\u5b57\u5e55\u4fee\u6539\u3001\u8bfb\u4e66\u4f1a\u7b14\u8bb0\u3001\u8bba\u6587\u901f\u9012\u3001\u516c\u4f17\u53f7\u6587\u7ae0\u3001\u96c6\u667a\u767e\u79d1\u3001\u8bba\u6587\u89e3\u8bfb\u7b49\u5171\u521b\u4efb\u52a1<\/strong>\uff09\uff0c\u79ef\u5206\u7b26\u5408\u6761\u4ef6\u5373\u53ef\u9000\u8d39\u3002\u53d1\u8d77\u4eba\u548c\u4e3b\u8bb2\u4eba\u540c\u6837\u9075\u5faa\u6b64\u673a\u5236\uff0c\u65e0\u989d\u5916\u91d1\u94b1\u6fc0\u52b1\u3002<\/span><\/p>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img\" data-height=\"1584\" data-imgfileid=\"100213152\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"2816\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-bff109ee9c6c919e06a1358e3ee215a2.png\"  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><em><span style=\"font-size: 15px;color: rgb(136, 136, 136);\">PS\uff1a\u5177\u4f53\u53c2\u4e0e\u65b9\u5f0f\u53ef\u4ee5\u52a0\u5165\u8bfb\u4e66\u4f1a\u540e\u67e5\u770b\u5bf9\u5e94\u7684\u5171\u521b\u4efb\u52a1\u5217\u8868\uff0c\u9886\u53d6\u4efb\u52a1\uff0c\u4e0e\u8fd0\u8425\u8d1f\u8d23\u4eba\u6c9f\u901a\u8be6\u60c5\uff0c\u4e0a\u8ff0\u89c4\u5219\u7684\u6700\u7ec8\u89e3\u91ca\u6743\u5f52\u96c6\u667a\u4ff1\u4e50\u90e8\u6240\u6709\u3002<\/span><\/em><\/section>\n<h2 style=\"margin-left: 8px;margin-right: 8px;margin-bottom: 0px;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h2>\n<section style=\"margin-bottom: 0px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h3 style=\"outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;white-space: normal;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);\">\n<section powered-by=\"xiumi.us\" style=\"outline: 0px;letter-spacing: 0.544px;text-align: right;font-size: 13px;\">\n<section powered-by=\"xiumi.us\" style=\"margin-top: 10px;margin-bottom: 10px;outline: 0px;letter-spacing: 0.544px;text-align: center;\">\n<section style=\"outline: 0px;display: inline-block;vertical-align: middle;\">\n<section style=\"margin-bottom: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;clear: both;line-height: 0;\">\n<section style=\"outline: 0px;line-height: 0;width: 0px;\"><svg viewbox=\"0 0 1 1\" style=\"vertical-align:top;\"><\/svg><\/section>\n<\/section>\n<\/section>\n<section style=\"padding-right: 10px;padding-left: 10px;outline: 0px;border-left: 3px solid rgb(33, 166, 210);border-right: 3px solid rgb(33, 166, 210);border-top-color: rgb(33, 166, 210);border-bottom-color: rgb(33, 166, 210);font-size: 16px;color: rgb(0, 0, 0);line-height: 1.4;\">\n<p style=\"outline: 0px;\"><strong style=\"outline: 0px;\"><strong style=\"outline: 0px;text-align: left;color: rgb(33, 166, 210);letter-spacing: 0.544px;\"><span style=\"outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;caret-color: rgb(89, 89, 89);\"><strong style=\"outline: 0px;color: rgb(61, 170, 214);letter-spacing: 0.578px;\">\u9886\u57df\u5fc5\u8bfb\u6587\u732e\u6e05\u5355<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n<section style=\"margin-top: -2px;outline: 0px;font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\n<section style=\"outline: 0px;float: left;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<section style=\"outline: 0px;float: right;width: 8px;height: 3px;background-color: rgb(33, 166, 210);line-height: 0;\"><br style=\"outline: 0px;\"  \/><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.578px;white-space: normal;background-color: rgb(255, 255, 255);line-height: 1.75em;\"><br  \/><\/p>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u9605\u8bfb\u6750\u6599\u8f83\u4e30\u5bcc\uff0c\u4e3a\u4e86\u66f4\u597d\u7684\u9605\u8bfb\u4f53\u9a8c\uff0c\u5efa\u8bae\u60a8\u524d\u5f80\u96c6\u667a\u6591\u56fe\u6c89\u6d78\u5f0f\u9605\u8bfb\uff0c\u5e76\u53ef\u6536\u85cf\u611f\u5174\u8da3\u7684\u8bba\u6587\uff0c<strong>\u4e0b\u8f7d\u63a8\u8350\u9605\u8bfb\u7684\u8bba\u6587\u4ee5\u53ca\u4ee3\u7801<\/strong>\uff0c<strong>\u67e5\u770b\u66f4\u591a\u76f8\u5173\u5b66\u4e60\u8d44\u6e90<\/strong>\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img\" data-height=\"296\" data-imgfileid=\"100213149\" data-ratio=\"1\"  data-type=\"png\" data-w=\"296\" data-width=\"296\" style=\"width: 187px;height: 187px;\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-b95f6ded7160fec5f46405e0c7b18bbc.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;text-align: center;margin-bottom: 8px;\"><span style=\"color: rgb(136, 136, 136);font-size: 13px;\">\u8bfb\u4e66\u4f1a\u9605\u8bfb\u6e05\u5355<\/span><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);text-decoration: underline;\"><strong><span style=\"text-decoration: underline;font-size: 15px;\">\u6a21\u5757\u4e00\uff1a\u6570\u636e\u9a71\u52a8\u7684\u590d\u6742\u7cfb\u7edf\u5efa\u6a21<\/span><\/strong><\/span><\/h3>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100213153\" data-ratio=\"0.562962962962963\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1080\" style=\"\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-8d5b53fd11e6856eafca8a8df3792d4a.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u968f\u7740\u79d1\u6280\u7684\u98de\u901f\u8fdb\u6b65\uff0c\u6211\u4eec\u5df2\u7ecf\u79ef\u7d2f\u4e86\u5f88\u591a\u5173\u4e8e\u590d\u6742\u7cfb\u7edf\u8fd0\u4f5c\u7684\u6570\u636e\uff0c\u5c24\u5176\u662f\u7cfb\u7edf\u751f\u6210\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u4f20\u7edf\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u57fa\u4e8e\u9886\u57df\u77e5\u8bc6\u5efa\u7acb\u5fae\u89c2\u4ea4\u4e92\u6a21\u578b\uff0c\u5e76\u636e\u6b64\u4f18\u5316\u63a7\u5236\u7cfb\u7edf\u3002\u4f46\u5bf9\u771f\u5b9e\u590d\u6742\u7cfb\u7edf\u6784\u5efa\u5168\u9762\u6a21\u578b\u6781\u4e3a\u56f0\u96be\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u8fd1\u5e74\u6765\uff0c\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u6210\u4e3a\u70ed\u70b9\uff0c\u5229\u7528\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u81ea\u52a8\u6784\u5efa\u9ad8\u7cbe\u5ea6\u6a21\u578b\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u80fd\u66f4\u7cbe\u786e\u5730\u5206\u6790\u3001\u6a21\u62df\u548c\u9884\u6d4b\u590d\u6742\u7cfb\u7edf\uff0c\u8fd8\u4e3a\u7cfb\u7edf\u63a7\u5236\u548c\u4f18\u5316\u63d0\u4f9b\u4e86\u65b0\u7684\u53ef\u80fd\u6027\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u50a8\u5907\u6c60\u8ba1\u7b97<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5229\u7528\u50a8\u5907\u6c60\u8ba1\u7b97\u9884\u6d4b\u65f6\u7a7a\u6df7\u6c8c\u7cfb\u7edf\uff1b\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u68b3\u7406\u4e86\u50a8\u5907\u6c60\u8ba1\u7b97\u7684\u7814\u7a76\u8fdb\u5c55\uff1b\u7b2c\u4e09\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u683c\u5170\u6770\u56e0\u679c\u548c\u50a8\u5907\u6c60\u8ba1\u7b97\u7684\u8f7b\u91cf\u5316\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u4ee5\u63ed\u793a\u7cfb\u7edf\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\uff0c\u5e76\u5229\u7528\u8fd9\u4e9b\u9ad8\u9636\u7ed3\u6784\u4fe1\u606f\u8fdb\u884c\u7cbe\u51c6\u52a8\u529b\u5b66\u9884\u6d4b\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Pathak, J., Hunt, B., Girvan, M., Lu, Z., &amp; Ott, E. (2018). Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach. <em>Physical review letters<\/em>, <em>120<\/em>(2), 024102.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Yan, M., Huang, C., Bienstman, P., Tino, P., Lin, W., &amp; Sun, J. (2024). Emerging opportunities and challenges for the future of reservoir computing. <em>Nature Communications<\/em>, <em>15<\/em>(1), 2056.<\/span><\/section>\n<\/li>\n<li>\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, X., Zhu, Q., Zhao, C., Duan, X., Zhao, B., Zhang, X., &#8230; &amp; Lin, W. (2024). Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction. <em>Nature Communications<\/em>, <em>15<\/em>(1), 2506. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247686949&amp;idx=2&amp;sn=6b5c16625754fd74ebdf0e6cdf15e509&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;color: rgb(0, 122, 170);text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">Nat. Commun. \u524d\u6cbf\uff1a\u6570\u636e\u9a71\u52a8\u7684\u590d\u6742\u7cfb\u7edf\u9ad8\u9636\u7ed3\u6784\u63a8\u65ad\u4e0e\u52a8\u529b\u5b66\u9884\u6d4b<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u7269\u7406\u77e5\u8bc6\u5f15\u5bfc\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784<\/span><\/strong><\/span><\/h4>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5c06\u7269\u7406\u89c4\u5f8b\u5f15\u5165\u5230\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u4e4b\u4e2d\uff1b\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u7efc\u8ff0\u4e86\u52a8\u529b\u7cfb\u7edf\u4e2d\u7684\u73b0\u4ee3Koopman\u7406\u8bba\uff1b\u7b2c\u4e09\u7bc7\u6587\u7ae0\u6784\u5efa\u4e86\u6570\u7406\u5148\u9a8c\u4fe1\u606f\u5d4c\u5165\u5f0f\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u54c8\u5bc6\u987f\u795e\u7ecfKoopman\u7b97\u5b50\u3002<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Greydanus, S., Dzamba, M., &amp; Yosinski, J. (2019). Hamiltonian neural networks. <em>Advances in neural information processing systems<\/em>, <em>32<\/em>.<\/span><\/p>\n<\/li>\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Brunton, S. L., Budi\u0161i\u0107, M., Kaiser, E., &amp; Kutz, J. N. (2021). Modern Koopman theory for dynamical systems. <em>arXiv preprint arXiv:2102.12086<\/em>.<\/span><\/p>\n<\/li>\n<li>\n<p style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Zhang, J., Zhu, Q., &amp; Lin, W. (2024). Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation laws. <em>Physical Review Research<\/em>, <em>6<\/em>(1), L012031. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=Mzg5MTcxNTIxOA==&amp;mid=2247486387&amp;idx=1&amp;sn=efa7ae3531040f2d8bff6c2887c47c59&amp;scene=21#wechat_redirect\" style=\"text-decoration: underline;font-size: 15px;color: rgb(0, 122, 170);\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">\u590d\u65e6\u5927\u5b66\u667a\u80fd\u590d\u6742\u4f53\u7cfb\u5b9e\u9a8c\u5ba4\u56e2\u961f\u63d0\u51fa\u4e86\u6570\u7406\u5148\u9a8c\u4fe1\u606f\u5d4c\u5165\u5f0f\u673a\u5668\u5b66\u4e60\u6846\u67b6<\/span><\/a><\/p>\n<\/li>\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Cranmer, M., Greydanus, S., Hoyer, S., Battaglia, P., Spergel, D., &amp; Ho, S. &nbsp;(2020). Lagrangian Neural Networks. In <em>ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations<\/em>.<\/span><\/p>\n<\/li>\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Rao, C., Ren, P., Wang, Q., Buyukozturk, O., Sun, H., &amp; Liu, Y. (2023). Encoding physics to learn reaction\u2013diffusion processes. <em>Nature Machine Intelligence<\/em>, <em>5<\/em>(7), 765-779.<\/span><\/p>\n<\/li>\n<\/ul>\n<p style=\"margin-right: 8px;margin-bottom: 8px;margin-left: 8px;letter-spacing: 0.578px;white-space: normal;line-height: 1.75em;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u5229\u7528\u7f51\u7edc\u91cd\u6574\u5316\u7fa4\u542f\u53d1\u7684\u795e\u7ecf\u7f51\u7edc\u8bc6\u522b\u5927\u89c4\u6a21\u590d\u6742\u7f51\u7edc\u7684\u5173\u952e\u201c\u9aa8\u67b6\u201d\uff0c\u6355\u6349\u957f\u671f\u6f14\u5316\u6a21\u5f0f\uff0c\u8fdb\u884c\u9ad8\u6548\u4e14\u7cbe\u51c6\u7684\u52a8\u529b\u5b66\u6a21\u62df\u3002<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-right: 8px;margin-left: 8px;width: 577.422px;letter-spacing: 0.578px;white-space: normal;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\">Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. In&nbsp;<em>Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining<\/em>.<\/p>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u795e\u7ecf\u5fae\u5206\u65b9\u7a0b<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u6587\u7ae0\u662fNeurIPS 2018 \u7684 best paper\uff0c\u6784\u5efa\u4e86\u8fde\u7eed\u65f6\u95f4\u7684\u795e\u7ecf\u7f51\u7edc\u6846\u67b6\uff1b\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u6307\u51fa\u4e86\u7ecf\u5178Neural ODEs\u7684\u8868\u793a\u80fd\u529b\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86\u589e\u7ef4\u7684Neural ODEs\uff1b\u7b2c\u4e09\u7bc7\u6587\u7ae0\u5c06\u65f6\u6ede\u5f15\u5165Neural ODEs\u4e2d\uff0c\u63d0\u51fa\u4e86\u795e\u7ecf\u65f6\u6ede\u5fae\u5206\u65b9\u7a0b(Neural DDEs)\uff0c\u89e3\u51b3\u4e86\u7ecf\u5178Neural ODEs\u7684\u8868\u793a\u80fd\u529b\u95ee\u9898\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, R. T., Rubanova, Y., Bettencourt, J., &amp; Duvenaud, D. K. (2018). Neural ordinary differential equations. <em>Advances in neural information processing systems<\/em>, <em>31<\/em>.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Dupont, E., Doucet, A., &amp; Teh, Y. W. (2019). Augmented neural odes. <em>Advances in neural information processing systems<\/em>, <em>32<\/em>.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;text-align: left;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhu, Q., Guo, Y., &amp; Lin, W. (2021). Neural delay differential equations. <em>The Ninth International Conference on Learning Representations (ICLR 2021).<\/em><\/span><\/section>\n<\/li>\n<\/ul>\n<h5 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h5>\n<h5 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5c0f\u6837\u672c\u4e0b\u7684\u6570\u636e\u9a71\u52a8\u5efa\u6a21\uff1a\u53ef\u89e3\u91ca\u6027-&gt;\u6cdb\u5316\u6027-&gt;\u9c81\u68d2\u6027<\/span><\/h5>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u9762\u5411\u7269\u7406\u7684\u6570\u636e\u9a71\u52a8\u5efa\u6a21\u96be\u4ee5\u91c7\u7528\u6d41\u884c\u7684\u5927\u6570\u636e+\u5927\u6a21\u578b\u8303\u5f0f\u3002\u8fd9\u662f\u56e0\u4e3a\u4e00\u6ca1\u6709\u4e92\u8054\u7f51\u7ea7\u7684\u6570\u636e\u79ef\u7d2f\uff1b\u4e8c\u590d\u6742\u7269\u7406\u7cfb\u7edf\u6784\u9020\u5355\u4e2a\u6570\u636e\u7684\u6210\u672c\u8fdc\u8d85\u8bed\u6599\u3001\u56fe\u50cf\u7684\u91c7\u96c6\u3002\u56e0\u6b64\u5fc5\u987b\u5f00\u53d1\u4e0d\u4f9d\u8d56\u4e8e\u5927\u6570\u636e\u96c6\u7684\u4eba\u5de5\u667a\u80fd\u65b9\u6cd5\u3002\u4e0b\u9762\u8bba\u6587\u4ee5\u795e\u7ecf\u5e38\u5fae\u5206\u65b9\u7a0b\u4e3a\u5171\u540c\u6280\u672f\u57fa\u7840\uff0c\u4ece\u53ef\u89e3\u91ca\u6027\u3001\u6cdb\u5316\u6027\u3001\u9c81\u68d2\u6027\u4e09\u4e2a\u9012\u8fdb\u5c42\u6b21\u5f00\u53d1\u5c0f\u6570\u636e\u96c6\u4e0b\u7684\u4eba\u5de5\u667a\u80fd\u5efa\u6a21\u65b9\u6cd5\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Lai, Z., Mylonas, C., Nagarajaiah, S., &amp; Chatzi, E. (2021). Structural identification with physics-informed neural ordinary differential equations. <em>Journal of Sound and Vibration<\/em>, <em>508<\/em>, 116196.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, Q., Wang, T., Roychowdhury, V., &amp; Jawed, M. K. (2023). Rapidly encoding generalizable dynamics in a Euclidean symmetric neural network. <em>Extreme Mechanics Letters<\/em>, <em>58<\/em>, 101925.<\/span><\/section>\n<\/li>\n<li>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Li, Q., Wang, T., Roychowdhury, V., &amp; Jawed, M. K. (2023). Metalearning generalizable dynamics from trajectories. <em>Physical Review Letters<\/em>, <em>131<\/em>(6), 067301. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247670772&amp;idx=4&amp;sn=8e5b66f658ae79ec71ce097014cead15&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">PRL\u901f\u9012\uff1aAI \u5b66\u4e60\u73a9\u5f39\u7c27\u73a9\u5177\u2014\u2014\u4ece\u8f68\u8ff9\u5230\u901a\u7528\u52a8\u529b\u5b66\u7684\u5143\u5b66\u4e60<\/span><\/a><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Ji, W., &amp; Deng, S. (2021). 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Controlling complex networks with complex nodes. <em>Nature Reviews Physics<\/em>, <em>5<\/em>(4), 250-262. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247661073&amp;idx=3&amp;sn=81689f9aa8d65f9d358589e11af49544&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">Nat.Rev.Phys.\u901f\u9012\uff1a\u7528\u590d\u6742\u8282\u70b9\u63a7\u5236\u590d\u6742\u7f51\u7edc<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<section style=\"text-indent: 0em;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u6570\u636e\u9a71\u52a8\u63a7\u5236\u590d\u6742\u7cfb\u7edf\u9886\u57df\u7ecf\u5178\u5de5\u4f5c<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li>\n<section style=\"text-indent: 0em;line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Baggio, G., Bassett, D. 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Data-driven control of complex networks. <em>Nature communications<\/em>, <em>12<\/em>(1), 1429.| <\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247542184&amp;idx=2&amp;sn=566d27cdc74876ca2e7f1cdc53a7a121&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"text-decoration: underline;font-size: 15px;color: rgb(0, 122, 170);\">\u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a\u6570\u636e\u9a71\u52a8\u7684\u590d\u6742\u7f51\u7edc\u63a7\u5236\u65b9\u6cd5 | \u590d\u6742\u6027\u79d1\u5b66\u9876\u520a\u7cbe\u90098\u7bc7<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<section style=\"text-indent: 0em;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u795e\u7ecf\u5e38\u5fae\u5206\u65b9\u7a0b\u5b66\u4e60\u590d\u6742\u7cfb\u7edf\u63a7\u5236\u4fe1\u53f7<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"text-indent: 0em;line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">B\u00f6ttcher, L., Antulov-Fantulin, N., &amp; Asikis, T. 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AI Pontryagin or how artificial neural networks learn to control dynamical systems. <em>Nature communications<\/em>, <em>13<\/em>(1), 333.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"text-indent: 0em;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u6587\u7ae0\u5229\u7528\u795e\u7ecf\u7f51\u7edc\u548c\u674e\u96c5\u666e\u8bfa\u592b\u7406\u8bba\uff0c\u63d0\u51fa\u4e86\u795e\u7ecf\u674e\u96c5\u666e\u8bfa\u592b\u63a7\u5236\u65b9\u6cd5\uff1b\u7b2c\u4e8c\u7bc7\u5c06\u795e\u7ecf\u674e\u96c5\u666e\u8bfa\u592b\u63a7\u5236\u63a8\u5e7f\u5230\u968f\u673a\u7248\u672c\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"text-indent: 0em;line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Chang, Y. C., Roohi, N., &amp; Gao, S. (2019). Neural lyapunov control. <em>Advances in neural information processing systems<\/em>, <em>32<\/em>.<\/span><\/section>\n<\/li>\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"text-indent: 0em;line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Zhang, J., Zhu, Q., &amp; Lin, W. (2022). Neural stochastic control. <em>Advances in neural information processing systems<\/em>, <em>35<\/em>, 9098-9110.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-right: 8px;margin-bottom: 8px;margin-left: 8px;letter-spacing: 0.578px;white-space: normal;line-height: 1.75em;\"><br  \/><\/h4>\n<h4 style=\"margin-right: 8px;margin-bottom: 8px;margin-left: 8px;letter-spacing: 0.578px;white-space: normal;line-height: 1.75em;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u8fde\u7eed\u65f6\u95f4\u751f\u6210\u6a21\u578b<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-right: 8px;margin-bottom: 8px;margin-left: 8px;letter-spacing: 0.578px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u6587\u7ae0\u662fICLR 2021\u6770\u51fa\u8bba\u6587\uff0c\u63d0\u51fa\u4e86\u57fa\u4e8e\u968f\u673a\u5fae\u5206\u65b9\u7a0b\uff08SDEs\uff09\u7684\u751f\u6210\u6a21\u578b\uff0c\u7edf\u4e00\u4e86\u7ecf\u5178\u7684\u5206\u6570\u6a21\u578b\u548c\u6269\u6563\u6a21\u578b\uff1b\u7b2c\u4e8c\u7bc7\u6587\u7ae0\u63d0\u51fa\u4e86\u5feb\u901f\u8bad\u7ec3\u8fde\u7eed\u6b63\u5219\u6d41\u7684\u5feb\u901f\u4e14\u7a33\u5b9a\u7684\u6d41\u5339\u914d\u65b9\u6cd5\uff1b\u7b2c\u4e09\u7bc7\u6587\u7ae0\u6307\u51fa\u4e86\u6d41\u5339\u914d\u65b9\u6cd5\u7684\u5947\u5f02\u6027\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86\u5207\u53d8\u6d41\u5339\u914d\u65b9\u6cd5\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-right: 8px;margin-left: 8px;width: 577.422px;letter-spacing: 0.578px;white-space: normal;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\">Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., &amp; Poole, B. (2020). Score-based generative modeling through stochastic differential equations.<em> The Ninth International Conference on Learning Representations (ICLR 2021).<\/em><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\">Lipman, Y., Chen, R. T., Ben-Hamu, H., Nickel, M., &amp; Le, M. (2023). Flow matching for generative modeling.<em> The Eleventh International Conference on Learning Representations<\/em><em> (ICLR 2023).<\/em><\/section>\n<\/li>\n<li>\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhu, Q., &amp; Lin, W. (2024). Switched flow matching: Eliminating singularities via switching ODEs, <em>41st International Conference on Machine Learning (ICML 2024).<\/em> | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=Mzg5MTcxNTIxOA==&amp;mid=2247486613&amp;idx=1&amp;sn=bba9a42df0b2972d1a61cacd72c0be38&amp;scene=21#wechat_redirect\" data-linktype=\"2\" style=\"text-decoration: underline;font-size: 15px;\"><span style=\"color: rgb(0, 122, 170);\">ICML2024 |\u590d\u65e6\u5927\u5b66\u667a\u80fd\u590d\u6742\u4f53\u7cfb\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u5b9e\u9a8c\u5ba4\u7814\u7a76\u56e2\u961f3\u7bc7\u8bba\u6587\u88ab\u56fd\u9645\u673a\u5668\u5b66\u4e60\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u5f55\u7528<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-right: 8px;margin-bottom: 8px;margin-left: 8px;letter-spacing: 0.578px;white-space: normal;line-height: 1.75em;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u6b64\u4e3b\u9898\u611f\u5174\u8da3\u7684\u4f19\u4f34\u53ef\u4ee5\u5173\u6ce8<\/span><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">&nbsp;<\/span><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247696519&amp;idx=2&amp;sn=28870daff13d1234c1aac0ec550d8a23&amp;chksm=e8989a0adfef131caf96716848415978b0a66f369fe68c02382bcd7c0f499ffa8f256a69046b&amp;scene=21#wechat_redirect\" textvalue=\"AI by Complexity \u8bfb\u4e66\u4f1a\uff1a\u4ece\u590d\u6742\u7cfb\u7edf\u5230\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\"><span style=\"text-decoration: none;\"><span style=\"text-decoration: none;font-size: 15px;color: rgb(0, 122, 170);\">AI by Complexity \u8bfb\u4e66\u4f1a<\/span><span style=\"text-decoration: none;font-size: 15px;color: rgb(63, 63, 63);\">\uff1a<\/span><span style=\"text-decoration: none;font-size: 15px;color: rgb(0, 122, 170);\">\u4ece\u590d\u6742\u7cfb\u7edf\u5230\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd<\/span><\/span><\/a><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\"><br  \/><\/span><\/strong><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"font-size: 15px;\">\u590d\u6742\u7f51\u7edc\u964d\u7ef4\u8868\u8fbe<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;\">\u63a8\u8350\u8bed\uff1a\u968f\u7740\u590d\u6742\u7cfb\u7edf\u89c4\u6a21\u548c\u6570\u636e\u91cf\u7684\u589e\u5927\uff0c\u5bf9\u7cfb\u7edf\u7b80\u5316\u5904\u7406\u5e76\u964d\u7ef4\u5206\u6790\u6210\u4e3a\u4e86\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u7684\u91cd\u8981\u9700\u6c42\u3002\u76ee\u524d\uff0c\u5df2\u7ecf\u6709\u5173\u4e8e\u4ee5\u7f51\u7edc\u4e3a\u4ee3\u8868\u7684\u590d\u6742\u7cfb\u7edf\u7684\u964d\u7ef4\u5206\u6790\uff1a<\/span><\/section>\n<p style=\"margin-bottom: 8px;line-height: 1.75em;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u9a8c\u8bc1\u4e86\u4f4e\u79e9\u7ed3\u6784\u5728\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u666e\u904d\u5b58\u5728\u6027\uff1a<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li>\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Thibeault, V., Allard, A., &amp; Desrosiers, P. (2024). The low-rank hypothesis of complex systems.<em>&nbsp;Nature Physics,&nbsp;20(2), 294-302. <\/em>&nbsp;| \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247681886&amp;idx=1&amp;sn=9eaf5b87d50b72a117747416f1ffcb8a&amp;chksm=e8995dd3dfeed4c54888991a33a51061069aa8b9fda54dd5b0c2cbbe580bd72a64a308ed645c&amp;scene=21#wechat_redirect\" textvalue=\"Nature Physics\u8bc4\u8bba\uff1a\u590d\u6742\u7cfb\u7edf\u7684\u5185\u5728\u7b80\u5355\u6027\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">Nature Physics\u8bc4\u8bba\uff1a\u590d\u6742\u7cfb\u7edf\u7684\u5185\u5728\u7b80\u5355\u6027<\/a><\/span><\/section>\n<\/li>\n<\/ul>\n<p style=\"margin-bottom: 8px;line-height: 1.75em;margin-left: 8px;margin-right: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u6570\u636e\u9a71\u52a8\u4e0b\u5bf9\u4f4e\u79e9\u7ed3\u6784\u7684\u4f30\u8ba1\u548c\u5b66\u4e60\uff1a<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Cao, W., Picci, G., &amp; Lindquist, A. (2023). Identification of low rank vector processes.<em>&nbsp;Automatica,&nbsp;151, 110938.<\/em><\/span><\/section>\n<\/li>\n<\/ul>\n<p style=\"margin-bottom: 8px;line-height: 1.75em;margin-left: 8px;margin-right: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u901a\u8fc7\u4f18\u5316\u624b\u6bb5\u63d0\u53d6\u590d\u6742\u7f51\u7edc\u5173\u952e\u8282\u70b9\uff1a<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"margin-bottom: 8px;line-height: 1.75em;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">MacLaren, N. G., Barzel, B., &amp; Masuda, N. (2024). Observing network dynamics through sentinel nodes.&nbsp;<em>arXiv preprint arXiv:2408.00045.&nbsp;<\/em><\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><br  \/><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);text-decoration: underline;\"><strong><span style=\"text-decoration: underline;font-size: 15px;\">\u6a21\u5757\u4e8c\uff1a\u590d\u6742\u7f51\u7edc\u7ed3\u6784\u63a8\u65ad<\/span><\/strong><\/span><\/h3>\n<section style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-imgfileid=\"100213156\" data-ratio=\"0.562962962962963\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1080\" style=\"\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-3c73c54ae5756dfc91c45ebe834138cb.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u590d\u6742\u7cfb\u7edf\u7684\u5efa\u6a21\u9664\u4e86\u5bf9\u52a8\u529b\u5b66\u8fdb\u884c\u5efa\u6a21\uff0c\u53e6\u4e00\u65b9\u9762\u662f\u7a7a\u95f4\u4e0a\u7ec4\u6210\u5143\u7d20\u95f4\u4ea4\u4e92\u5173\u7cfb\u7684\u5efa\u6a21\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u540c\u65f6\u7531\u4e8e\u590d\u6742\u7cfb\u7edf\u4e2d\u5143\u7d20\u95f4\u5b58\u5728\u591a\u79cd\u590d\u6742\u4f5c\u7528\uff0c\u4ea7\u751f\u975e\u7ebf\u6027\u3001\u6d8c\u73b0\u7b49\u7279\u6027\uff0c\u4f7f\u7cfb\u7edf\u96be\u4ee5\u7b80\u5355\u63cf\u8ff0\u6216\u7406\u89e3\uff0c\u540c\u65f6\u53c2\u6570\u6570\u91cf\u7684\u589e\u52a0\u6709\u53ef\u80fd\u5feb\u4e8e\u7cfb\u7edf\u5927\u5c0f\u7684\u589e\u52a0\uff0c\u6211\u4eec\u65e2\u65e0\u6cd5\u628a\u6574\u4e2a\u7cfb\u7edf\u57fa\u4e8e\u8fd8\u539f\u8bba\u800c\u7b80\u5355\u7406\u89e3\u4e3a\u4e2a\u4f53\u7684\u52a0\u603b\uff0c\u4e5f\u65e0\u6cd5\u4ece\u6574\u4f53\u7684\u884c\u4e3a\u6709\u6548\u63a8\u65ad\u51fa\u7cfb\u7edf\u7684\u786e\u5b9a\u6027\u8d28\u3002\u6211\u4eec\u5e0c\u671b\u6709\u4e00\u4e9b\u65b9\u6cd5\uff0c\u80fd\u591f\u901a\u8fc7\u5b66\u4e60\u7a7a\u95f4\u4e0a\u7ec4\u6210\u5143\u7d20\u95f4\u4ea4\u4e92\u5173\u7cfb\uff0c\u4ece\u800c\u53ef\u4ee5\u66f4\u6df1\u5165\u5730\u7406\u89e3\u7cfb\u7edf\u7684\u8fd0\u884c\u673a\u5236\u3002<\/span><\/section>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8eGranger\u56e0\u679c\u7684\u63a8\u65ad\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u683c\u5170\u6770\u56e0\u679c\u68c0\u9a8c\u662f\u7528\u4e8e\u65f6\u95f4\u5e8f\u5217\u56e0\u679c\u63a8\u65ad\u7684\u7ecf\u5178\u65b9\u6cd5\uff0c\u4f46\u4f20\u7edf\u65b9\u6cd5\u591a\u57fa\u4e8e\u7ebf\u6027\u6a21\u578b\uff0c\u4e0e\u590d\u6742\u7cfb\u7edf\u7684\u975e\u7ebf\u6027\u672c\u8d28\u4e0d\u7b26\u3002\u8fd1\u5e74\u6765\uff0c\u7814\u7a76\u8005\u5c06\u683c\u5170\u6770\u56e0\u679c\u4e0e\u795e\u7ecf\u7f51\u7edc\u7ed3\u5408\uff0c\u4ee5\u66f4\u51c6\u786e\u5730\u63a8\u65ad\u975e\u7ebf\u6027\u590d\u6742\u7cfb\u7edf\u8282\u70b9\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u514b\u670d\u4e86\u4f20\u7edf\u65b9\u6cd5\u7684\u5c40\u9650\u6027\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u4e0b\u8ff0\u6587\u7ae0\u5229\u7528\u795e\u7ecf\u7f51\u7edc\u5c06\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u6210\u4e00\u4e2a\u975e\u7ebf\u6027\u7684\u5411\u91cf\u81ea\u56de\u5f52\u6a21\u578b\uff0c\u5e76\u901a\u8fc7\u5bf9\u795e\u7ecf\u7f51\u7edc\u7684\u8f93\u5165\u5c42\u65bd\u52a0\u7a00\u758f\u6027\u7ea6\u675f\uff0c\u627e\u51fa\u5bf9\u9884\u6d4b\u5404\u4e2a\u8282\u70b9\u6700\u6709\u5e2e\u52a9\u7684\u8282\u70b9\u5b50\u96c6\uff0c\u4ece\u800c\u5f97\u5230\u8282\u70b9\u95f4\u7684\u683c\u5170\u6770\u56e0\u679c\u7ed3\u6784\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Tank, A., Covert, I., Foti, N., Shojaie, A., &amp; Fox, E. B. (2021). Neural granger causality. <em>IEEE Transactions on Pattern Analysis and Machine Intelligence<\/em>, <em>44<\/em>(8), 4267-4279.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u4e0b\u8ff0\u6587\u7ae0\u8fdb\u4e00\u6b65\u5229\u7528\u795e\u7ecf\u5fae\u5206\u65b9\u7a0b\u6765\u5efa\u6a21\u8282\u70b9\u7684\u52a8\u529b\u5b66\uff0c\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5904\u7406\u8fde\u7eed\u6027\u52a8\u529b\u7cfb\u7edf\uff0c\u5e76\u5728\u65e0\u7a77\u5c0f\u7684\u65f6\u95f4\u95f4\u9694\u4e0b\u63a2\u7d22\u8282\u70b9\u95f4\u7684\u683c\u5170\u6770\u56e0\u679c\u7ed3\u6784\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Bellot, A., Branson, K., &amp; van der Schaar, M. (2021). Neural graphical modelling in continuous-time: consistency guarantees and algorithms. <em>The Ninth International Conference on Learning Representations (ICLR 2021).<\/em><\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u7a00\u758f\u8fa8\u8bc6\u7684\u7ed3\u6784\u63a8\u65ad\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u52a8\u529b\u5b66\u65b9\u7a0b\u7684\u7a00\u758f\u8fa8\u8bc6\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06\u590d\u6742\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u8868\u8fbe\u5f0f\u6295\u5f71\u5230\u4e00\u7ec4\u4e8b\u5148\u786e\u5b9a\u7684\u57fa\u51fd\u6570\u65cf\u4e0a\uff0c\u57fa\u4e8e\u6062\u590d\u51fa\u7684\u52a8\u529b\u5b66\u65b9\u7a0b\uff0c\u63a8\u65ad\u53d8\u91cf\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Casadiego, J., Nitzan, M., Hallerberg, S., &amp; Timme, M. (2017). Model-free inference of direct network interactions from nonlinear collective dynamics. <em>Nature communications<\/em>, <em>8<\/em>(1), 2192.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u7a00\u758f\u8fa8\u8bc6\u7684\u6570\u636e\u9a71\u52a8\u5f0f\u9ad8\u9636\u7f51\u7edc\u91cd\u6784<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Delabays, R., De Pasquale, G., D\u00f6rfler, F., &amp; Zhang, Y. (2024). Hypergraph reconstruction from dynamics. <em>arXiv preprint arXiv:2402.00078<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u5e38\u5fae\u5206\u65b9\u7a0b\u4f18\u5316\u7684\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u9488\u5bf9\u9ad8\u7ef4\u7cfb\u7edf\u4ee5\u53ca\u52a8\u529b\u5b66\u5b58\u5728\u566a\u97f3\u7684\u60c5\u51b5\uff0c\u6062\u590d\u52a8\u529b\u5b66\u4ee5\u53ca\u7f51\u7edc\u7ed3\u6784<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Yan, Z., Gui, L., Xu, K., &amp; Lan, Y. (2023). Reconstructing dynamics of complex systems from noisy time series with hidden variables. <em>New Journal of Physics<\/em>, <em>25<\/em>(8), 083011.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><br  \/><\/h4>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u53d8\u5206\u81ea\u7f16\u7801\u5668\u4e0e\u56fe\u795e\u7ecf\u7f51\u7edc\uff0c\u53ef\u4ee5\u540c\u65f6\u63a8\u65ad\u7f51\u7edc\u7ed3\u6784\u5e76\u8fdb\u884c\u590d\u6742\u7cfb\u7edf\u52a8\u529b\u5b66\u7684\u9884\u6d4b\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u6bcf\u6761\u8fb9\u7684\u5206\u5e03\u5355\u72ec\u5efa\u6a21\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Kipf, T., Fetaya, E., Wang, K. C., Welling, M., &amp; Zemel, R. (2018, July). Neural relational inference for interacting systems. In <em>International conference on machine learning<\/em> (pp. 2688-2697). PMLR.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u4e00\u4e2a\u8282\u70b9\u5bf9\u5e94\u7684\u8fb9\u7684\u96c6\u5408\u7684\u5206\u5e03\u8054\u5408\u5efa\u6a21\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Han, Z., Fink, O., &amp; Kammer, D. S. (2024). Collective relational inference for learning heterogeneous interactions. <em>Nature Communications<\/em>, <em>15<\/em>(1), 3191.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"text-align: left;margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8eIntervention\u7684\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8eJudea Pearl\u7684\u56e0\u679c\u4e4b\u68af\u7406\u8bba\uff0c\u57fa\u4e8e\u76f8\u5173\u6027\u7684\u56e0\u679c\u63a8\u65ad\u5f80\u5f80\u662f\u4e0d\u53ef\u9760\u7684\uff0c\u6211\u4eec\u9700\u8981\u5bf9\u53d8\u91cf\u65bd\u52a0\u5e72\u9884\u624d\u80fd\u66f4\u52a0\u51c6\u786e\u5730\u8861\u91cf\u53d8\u91cf\u95f4\u7684\u56e0\u679c\u6548\u5e94\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u57fa\u4e8e\u5e72\u9884\u7684\u56fe\u6ce8\u610f\u529b\u795e\u7ecf\u7f51\u7edc\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Sui, Y., Wang, X., Wu, J., Lin, M., He, X., &amp; Chua, T. S. (2022, August). Causal attention for interpretable and generalizable graph classification. In <em>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining<\/em> (pp. 1696-1705).<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u57fa\u4e8e\u5e72\u9884\u7684\u50a8\u5907\u6c60\u8ba1\u7b97\u795e\u7ecf\u7f51\u7edc\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhao, J., Gan, Z., Huang, R., Guan, C., Shi, J., &amp; Leng, S. (2024). Detecting dynamical causality via intervened reservoir computing. <em>Communications Physics<\/em>, <em>7<\/em>(1), 232.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u57fa\u4e8e\u7ea6\u675f\u4f18\u5316\u5b66\u4e60\u6709\u5411\u65e0\u73af\u56fe\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Brouillard, P., Lachapelle, S., Lacoste, A., Lacoste-Julien, S., &amp; Drouin, A. (2020). Differentiable causal discovery from interventional data. <em>Advances in Neural Information Processing Systems<\/em>, <em>33<\/em>, 21865-21877.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u57fa\u4e8e\u8d1d\u53f6\u65af\u65b9\u6cd5\uff1a<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Tigas, P., Annadani, Y., Jesson, A., Sch\u00f6lkopf, B., Gal, Y., &amp; Bauer, S. (2022). Interventions, where and how? experimental design for causal models at scale. <em>Advances in neural information processing systems<\/em>, <em>35<\/em>, 24130-24143.<\/span><\/section>\n<\/li>\n<\/ul>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h3>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);text-decoration: underline;\"><strong><span style=\"text-decoration: underline;font-size: 15px;\">\u6a21\u5757\u4e09\uff1a\u5177\u6709\u53ef\u89e3\u91ca\u6027\u7684\u590d\u6742\u7cfb\u7edf\u63a8\u65ad\uff08\u52a8\u529b\u5b66+\u7f51\u7edc\u7ed3\u6784\uff09<\/span><\/strong><\/span><\/h3>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img\" data-height=\"1440\" data-imgfileid=\"100213157\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"2560\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-25da2bf71fd52a84c4b217b2175bbd04.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">G. Bianconi\u7b49\u7f16\u8f91\u57282021\u5e74\u7684\u300a\u7269\u7406\u5b66\u6742\u5fd7\uff1a\u590d\u6742\u300b\uff08\u300aJournal of Physics: Complexity\u300b\uff09\u7eaa\u5ff5\u4e13\u520a\uff1a\u300a\u805a\u5149\u706f\u4e0b\u7684\u590d\u6742\u7cfb\u7edf: 2021\u5e74\u8bfa\u8d1d\u5c14\u7269\u7406\u5b66\u5956\u540e\u7684\u4e0b\u4e00\u6b65\u300b\uff08\u300aComplex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics\u300b\uff09\u4e2d\uff0c\u5bf9\u590d\u6742\u6027\u7684\u9884\u6d4b\u8fdb\u884c\u4e86\u63a2\u8ba8\u3002\u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247658939&amp;idx=1&amp;sn=86c09c31edc5d7727a4dc954f11dfa66&amp;chksm=e8993736dfeebe207f905b55981bf1608e588fd625d92bbaaf5015468abc1e7af86f220094dd&amp;scene=21#wechat_redirect\" textvalue=\"\u5415\u7433\u5a9b\uff1a2021\u5e74\u8bfa\u5956\u540e\uff0c\u590d\u6742\u79d1\u5b66\u672a\u6765\u4e8c\u5341\u5e74\u7684\u91cd\u5927\u6311\u6218\u662f\u4ec0\u4e48\uff1f\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u5415\u7433\u5a9b\uff1a2021\u5e74\u8bfa\u5956\u540e\uff0c\u590d\u6742\u79d1\u5b66\u672a\u6765\u4e8c\u5341\u5e74\u7684\u91cd\u5927\u6311\u6218\u662f\u4ec0\u4e48\uff1f<\/a><\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5927\u5bb6\u4e00\u81f4\u8ba4\u4e3a\uff0c\u590d\u6742\u7cfb\u7edf\u662f\u6700\u96be\u9884\u6d4b\u7684\u7cfb\u7edf\u4e4b\u4e00\uff0c\u539f\u56e0\u5982\u4e0b\uff1a<\/span><\/section>\n<ol start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u7cfb\u7edf\u5177\u6709\u8d85\u9ad8\u7ef4\u5ea6\u3001\u9ad8\u5ea6\u975e\u7ebf\u6027\u548c\u4e0d\u786e\u5b9a\u6027<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u521d\u59cb\u503c\u654f\u611f\uff0c\u8868\u73b0\u51fa\u6df7\u6c8c\u7279\u6027<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u67d0\u4e9b\u7cfb\u7edf\u4f1a\u6839\u636e\u9884\u6d4b\u7ed3\u679c\u8fdb\u884c\u8c03\u6574\u548c\u53cd\u9988\uff0c\u5f71\u54cd\u957f\u671f\u9884\u6d4b<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u666e\u904d\u5b58\u5728\u968f\u673a\u6548\u5e94<\/span><\/section>\n<\/li>\n<\/ol>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e3a\u63d0\u5347\u590d\u6742\u7cfb\u7edf\u7684\u9884\u6d4b\u80fd\u529b\u548c\u53ef\u89e3\u91ca\u6027\uff0c\u81f3\u5173\u91cd\u8981\u7684\u662f\u6df1\u5165\u63a2\u7a76\u5176\u5e95\u5c42\u52a8\u529b\u5b66\u673a\u5236\u3002\u56e0\u6b64\uff0c\u5f00\u53d1\u5177\u6709\u53ef\u89e3\u91ca\u6027\u7684\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u65b9\u6cd5\u6210\u4e3a\u91cd\u4e2d\u4e4b\u91cd\uff0c\u8fd9\u79cd\u65b9\u6cd5\u9700\u80fd\u540c\u65f6\u5bf9\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u548c\u7f51\u7edc\u7ed3\u6784\u8fdb\u884c\u7cbe\u786e\u5efa\u6a21\u3002\u901a\u8fc7\u8fd9\u79cd\u7efc\u5408\u6027\u7684\u5efa\u6a21\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u5168\u9762\u5730\u7406\u89e3\u548c\u5206\u6790\u590d\u6742\u7cfb\u7edf\u7684\u5185\u5728\u673a\u5236\uff0c\u4ece\u800c\u63d0\u9ad8\u9884\u6d4b\u7cbe\u5ea6\u5e76\u589e\u5f3a\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u7b26\u53f7\u56de\u5f52\u7684\u52a8\u529b\u5b66\u63a8\u65ad\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1aPySR\uff0cDeepMind\u548c\u666e\u6797\u65af\u987f\u7b49\u673a\u6784\u8054\u5408\u5f00\u53d1\uff0c\u6838\u5fc3\u601d\u60f3\u56f4\u7ed5\u9057\u4f20\u7f16\u7a0b\uff0c\u6027\u80fd\u4f18\u5f02\uff0c\u53ef\u81ea\u5b9a\u4e49\u51fd\u6570\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Cranmer, M. (2023). Interpretable machine learning for science with PySR and SymbolicRegression. jl. <em>arXiv preprint arXiv:2305.01582<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u7528\u4e8e\u7b26\u53f7\u56de\u5f52\uff0c\u8df3\u51fa\u4f20\u7edf\u7684\u9057\u4f20\u7f16\u7a0b\u601d\u60f3\u3002\u5c06\u7b26\u53f7\u56de\u5f52\u8fc7\u7a0b\u770b\u4f5c\u5c06\u6570\u636e\u201c\u7ffb\u8bd1\u201d\u4e3a\u8868\u8fbe\u5f0f\u7684\u8fc7\u7a0b\uff0c\u5c06\u89c2\u6d4b\u6570\u636e\u8fdb\u884c\u7edf\u4e00\u7f16\u7801\uff0c\u5229\u7528Transformer\u67b6\u6784\u5b66\u4e60\u5e76\u8f93\u51fa\u5bf9\u5e94\u7684\u65b9\u7a0b\u5f0f\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Valipour, M., You, B., Panju, M., &amp; Ghodsi, A. (2021). Symbolicgpt: A generative transformer model for symbolic regression. <em>arXiv preprint arXiv:2106.14131<\/em>.<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Kamienny, P. A., d&#8217;Ascoli, S., Lample, G., &amp; Charton, F. (2022). End-to-end symbolic regression with transformers. <em>Advances in Neural Information Processing Systems<\/em>, <em>35<\/em>, 10269-10281.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u7ed3\u5408\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Network\uff0cRNN\uff09\u548c\u5f3a\u5316\u5b66\u4e60\u7684\u6df1\u5ea6\u7b26\u53f7\u56de\u5f52\uff08Deep Symbolic Regression\uff0cDSR\uff09\u6846\u67b6\uff0c\u4f7f\u7528RNN\u751f\u6210\u53ef\u5904\u7406\u7684\u6570\u5b66\u8868\u8fbe\u5f0f\u5206\u5e03\uff0c\u5e76\u5229\u7528\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u8bad\u7ec3\u8be5RNN\uff0c\u66f4\u65b0\u53c2\u6570\u4ee5\u903c\u8fd1\u5e95\u5c42\u52a8\u529b\u5b66\u8868\u8fbe\u5f0f\u3002\u7b2c\u4e8c\u7bc7\u4e3a\u6709\u9650\u8868\u8fbe\u5f0f\u65b9\u6cd5\uff0c\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u627e\u5230\u751f\u6210\u8868\u8fbe\u5f0f\u4e2d\u7684\u6700\u4f18\u975e\u7ebf\u6027\u51fd\u6570\u3001\u4e8c\u8fdb\u5236\u8fd0\u7b97\u548c\u6570\u503c\u7cfb\u6570\u7ec4\u5408\uff0c\u7528\u4e8e\u6c42\u89e3\u8dc3\u8fc1\u8def\u5f84\u7406\u8bba(TPT)\u4e2d\u7684\u9ad8\u7ef4\u95ee\u9898\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Mundhenk, T., Landajuela, M., Glatt, R., Santiago, C. P., &amp; Petersen, B. K. (2021). Symbolic regression via deep reinforcement learning enhanced genetic programming seeding. <em>Advances in Neural Information Processing Systems<\/em>, <em>34<\/em>, 24912-24923.<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Song, Z., Cameron, M. K., &amp; Yang, H. (2023). A finite expression method for solving high-dimensional committor problems. <em>arXiv preprint arXiv:2306.12268<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u901a\u8fc7\u8ba1\u7b97\u89c4\u5219\u548c\u7b26\u53f7\u6765\u89e3\u91ca\u6570\u5b66\u8fd0\u7b97\u548c\u7cfb\u7edf\u72b6\u6001\u53d8\u91cf\uff0c\u901a\u8fc7\u8868\u8fbe\u5f0f\u6811\u5efa\u7acb\u6570\u5b66\u516c\u5f0f\u7684\u7b26\u53f7\u63a8\u7406\uff0c\u5e76\u4f7f\u7528\u8499\u7279\u5361\u7f57\u6811\u641c\u7d22(MCTS)\u4ee3\u7406\u6765\u63a2\u7d22\u57fa\u4e8e\u6d4b\u91cf\u6570\u636e\u7684\u6700\u4f18\u8868\u8fbe\u5f0f\u6811\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Sun, F., Liu, Y., Wang, J. X., &amp; Sun, H. (2022). Symbolic physics learner: Discovering governing equations via monte carlo tree search. <em>arXiv preprint arXiv:2205.13134<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u63d0\u51fa\u56fe\u7ed3\u6784\u7269\u7406\u673a\u5236\u7684\u7b26\u53f7\u5b66\u4e60\u6a21\u578b\uff0c\u91c7\u7528\u81ea\u52a8\u641c\u7d22\u7684\u65b9\u5f0f\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u7269\u7406\u673a\u5236\u4e2d\u5404\u5173\u952e\u53d8\u91cf\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u4f5c\u4e3a\u516c\u5f0f\u9aa8\u67b6\uff0c\u7136\u540e\u4f7f\u7528\u7b26\u53f7\u56de\u5f52\u65b9\u6cd5\u5f97\u5230\u6700\u7ec8\u63cf\u8ff0\u5fae\u89c2\u673a\u5236\u7684\u7b26\u53f7\u516c\u5f0f<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Shi, H., Ding, J., Cao, Y., Liu, L., &amp; Li, Y. (2022). Learning symbolic models for graph-structured physical mechanism. In <em>Th<\/em><em>e Eleventh International Conference on Learning Representations<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/strong><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u57fa\u51fd\u6570\u7684\u63a8\u65ad\u65b9\u6cd5<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7b2c\u4e00\u7bc7\u662f\u57fa\u4e8e\u975e\u6b63\u4ea4\u51fd\u6570\u5e93\u4ece\u542b\u566a\u548c\u7f51\u7edc\u7ed3\u6784\u7f3a\u5931\u7684\u6570\u636e\u4e2d\u63a8\u65ad\u590d\u6742\u7f51\u7edcODE\u7684\u6846\u67b6\uff0c\u7b2c\u4e8c\u7bc7\u8fdb\u4e00\u6b65\u63d0\u51fa\u57fa\u4e8e\u6d88\u606f\u4f20\u9012\u673a\u5236\u548c\u975e\u6b63\u4ea4\u51fd\u6570\u5e93\u7684\u590d\u6742\u7f51\u7edcSDE\u63a8\u65ad\u6846\u67b6\u3002\u5e94\u7528\u4e8e\u591a\u5957\u5b9e\u9645\u89c2\u6d4b\u6570\u636e\uff08\u5b9e\u9a8c\u6570\u636e\uff09\uff0c\u4e3a\u7406\u89e3\u548c\u63cf\u8ff0\u590d\u6742\u7cfb\u7edf\u52a8\u6001\u673a\u5236\u63d0\u4f9b\u6846\u67b6\u652f\u6491\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align:left;\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Gao, T. T., &amp; Yan, G. (2022). Autonomous inference of complex network dynamics from incomplete and noisy data. <em>Nature Computational Science<\/em>, <em>2<\/em>(3), 160-168. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247612222&amp;idx=1&amp;sn=9ad160598651a4dcca76013bab58e448&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">\u4ece\u975e\u5b8c\u6574\u548c\u542b\u566a\u58f0\u7684\u6570\u636e\u4e2d\u63a8\u7406\u590d\u6742\u7f51\u7edc\u52a8\u529b\u5b66<\/span><\/a><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Gao, T. T., Barzel, B., &amp; Yan, G. (2024). Learning interpretable dynamics of stochastic complex systems from experimental data. <em>Nature Communications<\/em>, <em>15<\/em>(1), 6029.<\/span><span style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;text-align: justify;color: rgb(0, 122, 170);font-size: 15px;text-decoration: underline;\">| \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzkxMzcxMzc0Mg==&amp;mid=2247501331&amp;idx=1&amp;sn=2611040b12d35bdf98dca2e3e74bb4d7&amp;scene=21#wechat_redirect\" style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;text-align: justify;color: rgb(0, 122, 170);font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"color: rgb(0, 122, 170);font-size: 15px;\">\u5b66\u672f\u4e89\u9e23\u4e28\u7269\u7406\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662\u4e25\u94a2\u56e2\u961f\u5728\u590d\u6742\u7cfb\u7edf\u53ef\u89e3\u91ca\u63a8\u7406\u65b9\u9762\u53d6\u5f97\u8fdb\u5c55\uff0c\u7814\u7a76\u6210\u679c\u53d1\u8868\u4e8e\u300a\u81ea\u7136\u00b7\u901a\u8baf\u300b<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u57fa\u51fd\u6570\u5b66\u4e60\u968f\u673a\u8fc7\u7a0b\u7684\u529b\u573a\u548c\u6269\u6563\u9879\uff0c\u7b2c\u4e00\u7bc7\u4e3b\u8981\u662f\u65b9\u6cd5\u63cf\u8ff0\uff0c\u7b2c\u4e8c\u7bc7\u63cf\u8ff0\u8be5\u65b9\u6cd5\u5e94\u7528\u4e8e\u7ec6\u80de\u8fc1\u79fb\u573a\u666f\u4e0b\u7684\u52a8\u529b\u5b66\u5b66\u4e60\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Frishman, A., &amp; Ronceray, P. (2020). Learning force fields from stochastic trajectories. <em>Physical Review X<\/em>, <em>10<\/em>(2), 021009.<\/span><\/section>\n<\/li>\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Br\u00fcckner, D., &amp; Broedersz, C. P. (2024). Learning dynamical models of single and collective cell migration: a review. <em>Reports on Progress in Physics<\/em>.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u72b6\u6001\u4f30\u8ba1\u662f\u590d\u6742\u7cfb\u7edf\u9884\u6d4b\u548c\u63a7\u5236\u7684\u57fa\u7840\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u6570\u636e\u9a71\u52a8\u7684\u72b6\u6001\u4f30\u8ba1\u65b9\u6cd5\uff0c\u5e76\u4e14\u901a\u8fc7\u57fa\u51fd\u6570\u5bf9\u7cfb\u7edf\u52a8\u529b\u5b66\u8fdb\u884c\u5b66\u4e60\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Course, K., &amp; Nair, P. B. (2023). State estimation of a physical system with unknown governing equations. <em>Nature<\/em>, <em>622<\/em>(7982), 261-267.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u7f51\u7edc\u7ed3\u6784\u63a8\u65ad\u548c\u52a8\u529b\u5b66\u9884\u6d4b\u65b9\u6cd5\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align:left;\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zhang, Y., Guo, Y., Zhang, Z., Chen, M., Wang, S., &amp; Zhang, J. (2022). Universal framework for reconstructing complex networks and node dynamics from discrete or continuous dynamics data. <em>Physical Review E<\/em>, <em>106<\/em>(3), 034315. | \u672c\u7bc7\u6587\u732e\u4ecb\u7ecd\u53ef\u89c1\uff1a<\/span><a href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247637998&amp;idx=1&amp;sn=c4e87d71255a877090c35475a9be449c&amp;scene=21#wechat_redirect\" style=\"font-size: 15px;text-decoration: underline;\" data-linktype=\"2\"><span style=\"font-size: 15px;color: rgb(0, 122, 170);\">\u590d\u6742\u7cfb\u7edf\u7684\u9006\u5411\u5de5\u7a0b\u2014\u2014\u901a\u8fc7\u65f6\u95f4\u5e8f\u5217\u91cd\u6784\u590d\u6742\u7f51\u7edc\u548c\u52a8\u529b\u5b66<\/span><\/a><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u6df1\u5ea6\u5b66\u4e60\u9884\u6d4b\u590d\u6742\u7cfb\u7edf\u4e34\u754c\u70b9<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8eGIN-GRU\u67b6\u6784\uff0c\u4ec5\u901a\u8fc7\u8282\u70b9\u72b6\u6001\u7684\u65f6\u95f4\u5e8f\u5217\u5728\u65e9\u671f\u5c31\u5b9e\u73b0\u5b9a\u91cf\u9884\u6d4b\u5404\u79cd\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u4e34\u754c\u8f6c\u6298\u70b9\uff0c\u5e76\u57fa\u4e8e\u6a21\u578b\u5fae\u8c03\u5bf9\u5b9e\u9645\u975e\u6d32\u690d\u88ab\u751f\u6001\u7cfb\u7edf\u7684\u4e34\u754c\u70b9\u8fdb\u884c\u9884\u6d4b\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Z., Zhang, X., Ru, X., Gao, T. T., Moore, J. M., &amp; Yan, G. (2024). Early predictor for the onset of critical transitions in networked dynamical systems. <em>Physical Review X<\/em>, <em>14<\/em>(3), 031009.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u63d0\u51fa\u91cd\u7f29\u653e\u81ea\u52a8\u5bc6\u5ea6\uff08RAD\uff09\uff0c\u4f7f\u5f97\u5728\u7cfb\u7edf\u53d7\u5230\u672a\u77e5\u6c34\u5e73\u566a\u58f0\u5e72\u6270\u65f6\u51c6\u786e\u8bc6\u522b\u4e34\u754c\u70b9\u9644\u8fd1\u7684\u65f6\u95f4\u5e8f\u5217\u7279\u5f81\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Harris, B., Gollo, L. L., &amp; Fulcher, B. D. (2024). Tracking the distance to criticality in systems with unknown noise. <em>Physical Review X<\/em>, <em>14<\/em>(3), 031021.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u63d0\u51fa\u4f30\u8ba1\u6717\u4e4b\u4e07\u578b\u52a8\u529b\u5b66\u5728\u767d\u566a\u58f0\u6216\u7ea2\u566a\u58f0\u9a71\u52a8\u4e0b\u7684\u7ebf\u6027\u6062\u590d\u901f\u7387\u53d8\u5316\uff0c\u7528\u4e8e\u9884\u6d4b\u8fde\u7eed\u3001\u79bb\u6563\u53ca\u975e\u5e73\u7a33\u566a\u58f0\u7b49\u573a\u666f\u4e0b\u7684\u4e34\u754c\u70b9\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Morr, A., &amp; Boers, N. (2024). Detection of approaching critical transitions in natural systems driven by red noise. <em>Physical Review X<\/em>, <em>14<\/em>(2), 021037.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\"><br  \/><\/span><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u8de8\u5c3a\u5ea6\u7cfb\u7edf\u5efa\u6a21<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u5e7f\u4e49Onsager\u5b9a\u7406\uff0c\u4ece\u968f\u673a\u8017\u6563\u7cfb\u7edf\u7684\u5fae\u89c2\u8f68\u8ff9\u5b66\u4e60\u5b8f\u89c2\u52a8\u529b\u5b66\u63cf\u8ff0\uff0c\u5efa\u7acb\u5177\u6709\u53ef\u89e3\u91ca\u6027\u7684\u70ed\u529b\u5b66\u5750\u6807\uff0c\u4e3b\u8981\u5e94\u7528\u5728\u805a\u5408\u7269\u94fe\u7684\u62c9\u4f38\u52a8\u529b\u5b66\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"text-align: left;font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Chen, X., Soh, B. W., Ooi, Z. E., Vissol-Gaudin, E., Yu, H., Novoselov, K. S., &#8230; &amp; Li, Q. (2024). Constructing custom thermodynamics using deep learning. <em>Nature Computational Science<\/em>, <em>4<\/em>(1), 66-85.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u57fa\u4e8e\u56e0\u679c\u6d8c\u73b0\u7684\u7406\u8bba\u6846\u67b6\uff0c\u5efa\u7acb\u591a\u5c3a\u5ea6\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u4ece\u5fae\u89c2\u6570\u636e\u4e2d\u8bc6\u522b\u6d8c\u73b0\uff0c\u5f97\u5230\u6700\u4f18\u7684\u7c97\u7c92\u5316\u7b56\u7565\u548c\u5b8f\u89c2\u52a8\u529b\u5b66\uff0c\u53ef\u4ee5\u589e\u5f3a\u673a\u5668\u9884\u6d4b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li>\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Mingzhe Yang, Zhipeng Wang, Kaiwei Liu, Yingqi Rong, Bing Yuan, Jiang Zhang, Finding emergence in data by maximizing effective information, <em>National Science Review<\/em>, 2024, nwae279, https:\/\/doi.org\/10.1093\/nsr\/nwae279 | \u5bf9\u672c\u5de5\u4f5c\u611f\u5174\u8da3\u7684\u4f19\u4f34\u53ef\u4ee5\u5173\u6ce8\uff1a<span style=\"text-decoration: underline;\">\u56e0\u679c\u6d8c\u73b0\u7b2c\u4e09\u5b63<\/span>\uff1a12.<\/span><span style=\"font-size: 15px;text-decoration: underline;color: rgb(0, 122, 170);\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247678160&amp;idx=1&amp;sn=e3f0f9db2f83bab0615717c90f4eb5ac&amp;chksm=e899625ddfeeeb4b57c2f4049deda56e2010bd52a962419afb2e73a21adbc03cbc13cd97fd78&amp;scene=21#wechat_redirect\" textvalue=\"\u5982\u4f55\u8ba9\u673a\u5668\u8bc6\u522b\u6d8c\u73b0\uff1f\u57fa\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u591a\u5c3a\u5ea6\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\uff5c\u5468\u65e5\u76f4\u64ad\u00b7\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u57fa\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u591a\u5c3a\u5ea6\u56e0\u679c\u6d8c\u73b0\u6846\u67b6<\/a><\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u7efc\u8ff0\u6587\u7ae0\uff0c\u548c\u81ea\u7531\u80fd\u539f\u7406\u76f8\u5173\uff0c\u57fa\u4e8e\u5c42\u6b21\u751f\u6210\u6a21\u578b\u548c\u8d1d\u53f6\u65af\u63a8\u65ad\u5b66\u4e60\u4e0d\u540c\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u8868\u5f81\u795e\u7ecf\u5143\u6d3b\u52a8\u3002<\/span><\/section>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Medrano, J., Friston, K., &amp; Zeidman, P. (2024). Linking fast and slow: The case for generative models. <em>Network Neuroscience<\/em>, <em>8<\/em>(1), 24-43.<\/span><\/section>\n<\/li>\n<\/ul>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u5bf9\u81ea\u7531\u80fd\u539f\u7406\u611f\u5174\u8da3\u7684\u4f19\u4f34\u53ef\u4ee5\u5173\u6ce8<\/span><span style=\"font-size: 15px;color: rgb(63, 63, 63);text-decoration: underline;\"><a target=\"_blank\" href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247684648&amp;idx=1&amp;sn=31d359ae9b22f282bca47889e403764e&amp;chksm=e89948a5dfeec1b3c61a686df6920c48a55dfe3d59dd974827877cf3d6b83922e42cd58dc591&amp;scene=21#wechat_redirect\" textvalue=\"\u81ea\u7531\u80fd\u539f\u7406\u4e0e\u5f3a\u5316\u5b66\u4e60\u8bfb\u4e66\u4f1a\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" data-itemshowtype=\"0\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\">\u81ea\u7531\u80fd\u539f\u7406\u4e0e\u5f3a\u5316\u5b66\u4e60\u8bfb\u4e66\u4f1a<\/a><\/span><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\uff0c<\/span><span style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;color: rgb(63, 63, 63);font-size: 15px;\">\u5176\u4e2d\u7b2c\u516d\u671f\u4e3a<\/span><a target=\"_blank\" href=\"https:\/\/mp.weixin.qq.com\/s?__biz=MzIzMjQyNzQ5MA==&amp;mid=2247691260&amp;idx=1&amp;sn=ccd8455a3f58868e1370998a357ebcc1&amp;chksm=e898b171dfef3867d895f29bb567a4739998aa4208a702a051144625d7a033b915e9baeee44e&amp;token=2062578453&amp;lang=zh_CN&amp;scene=21#wechat_redirect\" textvalue=\"Karl Friston\u7684\u5206\u4eab\u300a\u610f\u8bc6\u7684\u7269\u7406\u5b66\u2014\u2014\u4e3b\u52a8\u63a8\u7406\u7684\u9876\u5c42\u903b\u8f91\u300b\" linktype=\"text\" imgurl=\"\" imgdata=\"null\" tab=\"innerlink\" data-linktype=\"2\" rel=\"noopener noreferrer\"><span style=\"color: rgb(0, 122, 170);text-decoration: underline;font-size: 15px;\">Karl Friston\u7684\u5206\u4eab\u300a\u610f\u8bc6\u7684\u7269\u7406\u5b66\u2014\u2014\u4e3b\u52a8\u63a8\u7406\u7684\u9876\u5c42\u903b\u8f91\u300b<\/span><\/a><span style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;color: rgb(63, 63, 63);font-size: 15px;\">\u3002<\/span><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;letter-spacing: 0.034em;color: rgb(63, 63, 63);font-size: 15px;\"><br  \/><\/span><\/section>\n<h3 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);text-decoration: underline;\"><strong><span style=\"text-decoration: underline;font-size: 15px;\">\u6a21\u5757\u56db\uff1a\u5e94\u7528-\u8d85\u6750\u6599\u8bbe\u8ba1\u548c\u57ce\u5e02\u7cfb\u7edf<\/span><\/strong><\/span><\/h3>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><img class=\"rich_pages wxw-img\" data-backh=\"316\" data-backw=\"562\" data-height=\"1620\" data-imgfileid=\"100213154\" data-ratio=\"0.562962962962963\"  data-type=\"png\" data-w=\"1080\" data-width=\"2880\" style=\"width: 100%;height: auto;\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-e0142aba6247f082c6e55f5c027659ac.png\"  \/><\/section>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;letter-spacing: 0.578px;text-indent: 0em;font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\">\u5f53\u6211\u4eec\u5bf9\u590d\u6742\u7cfb\u7edf\u7684\u673a\u5236\u6709\u4e86\u5145\u5206\u7684\u4e86\u89e3\u548c\u8ba4\u8bc6\uff0c\u5c31\u80fd\u591f\u66f4\u597d\u7684\u5bf9\u7cfb\u7edf\u8fdb\u884c\u63a7\u5236\u548c\u53cd\u5411\u8bbe\u8ba1\u3002<\/span><\/section>\n<section style=\"line-height: 1.75em;text-align: justify;margin: 0px 8px 8px;text-indent: 0em;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;letter-spacing: 0.578px;text-decoration: none solid rgb(63, 63, 63);\">\u6240\u4ee5\u901a\u8fc7\u524d\u4e09\u4e2a\u6a21\u5757\u7684\u63a2\u8ba8\uff0c\u6211\u4eec\u7b2c\u56db\u4e2a\u6a21\u5757\uff0c\u5c06\u4ee5\u6750\u6599\u9886\u57df\u548c\u57ce\u5e02\u9886\u57df\u4e3a\u4f8b\uff0c\u91cd\u70b9\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u751f\u6210\u5efa\u6a21\u548c\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u8bc6\u522b\u548c\u91cd\u6784\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u7f51\u7edc\u7ed3\u6784\u548c\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u4f18\u5316\u7cfb\u7edf\u8bbe\u8ba1\u3002<\/span><\/section>\n<section style=\"line-height: 1.75em;text-align: justify;margin: 0px 8px 8px;text-indent: 0em;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;letter-spacing: 0.578px;text-decoration: none solid rgb(63, 63, 63);\"><br  \/><\/span><\/section>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u7ed3\u6784\u53cd\u5411\u8bbe\u8ba1\uff1a\u4ee5\u8d85\u6750\u6599\u4e3a\u4f8b<\/span><\/strong><\/span><\/h4>\n<section style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u63a8\u8350\u8bed\uff1a\u4e86\u89e3\u529b\u5b66\u8d85\u6750\u6599\u57fa\u672c\u6982\u5ff5\uff0c\u4ee5\u8d85\u6750\u6599\u53cd\u5411\u8bbe\u8ba1\u4e3a\u4f8b\uff0c\u4ecb\u7ecd\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u7ed3\u6784\uff08\u6216\u66f4\u4e00\u822c\u7684\u7269\u7406\u573a\uff09\u53cd\u5411\u8bbe\u8ba1\u4e09\u79cd\u57fa\u672c\u65b9\u6cd5\u53ca\u5404\u81ea\u7279\u70b9\uff1a\uff081\uff09\u6b63\u5411\u9884\u6d4b\u7f51\u7edc+\u4f18\u5316\uff1b\uff082\uff09\u53ef\u9006\u795e\u7ecf\u7f51\u7edc\uff08invertible neural networks\u53ca\u884d\u751fdiffusion model\uff09\uff1b\uff083\uff09\u76f4\u63a5\u9006\u795e\u7ecf\u7f51\u7edc\uff1a\u4e32\u8054\u6784\u9020\u3002<\/span><\/section>\n<ul class=\"list-paddingleft-1\" style=\"list-style-type: disc;\">\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Deng, B., Zareei, A., Ding, X., Weaver, J. C., Rycroft, C. H., &amp; Bertoldi, K. (2022). Inverse design of mechanical metamaterials with target nonlinear response via a neural accelerated evolution strategy. <em>Advanced Materials<\/em>, <em>34<\/em>(41), 2206238.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Bastek, J. H., &amp; Kochmann, D. M. (2023). Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models. <em>Nature Machine Intelligence<\/em>, <em>5<\/em>(12), 1466-1475.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Ha, C. S., Yao, D., Xu, Z., Liu, C., Liu, H., Elkins, D., &#8230; &amp; Zheng, X. (2023). Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning. <em>Nature Communications<\/em>, <em>14<\/em>(1), 5765.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">\u4e8e\u76f8\u9f99\uff0c\u5468\u6d4e\u8457.\u529b\u5b66\u8d85\u6750\u6599\u7684\u6784\u7b51\u4e0e\u8d85\u5e38\u6027\u80fd[M].\u5408\u80a5\uff1a\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u51fa\u7248\u793e,2021<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Mao, Y., He, Q., &amp; Zhao, X. (2020). Designing complex architectured materials with generative adversarial networks. <em>Science advances<\/em>, <em>6<\/em>(17), eaaz4169.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Liu, Z., Zhu, D., Rodrigues, S. P., Lee, K. T., &amp; Cai, W. (2018). Generative model for the inverse design of metasurfaces. <em>Nano letters<\/em>, <em>18<\/em>(10), 6570-6576.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Zheng, L., Karapiperis, K., Kumar, S., &amp; Kochmann, D. M. (2023). Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling. <em>Nature Communications<\/em>, <em>14<\/em>(1), 7563.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Wang, L., Chan, Y. C., Ahmed, F., Liu, Z., Zhu, P., &amp; Chen, W. (2020). Deep generative modeling for mechanistic-based learning and design of metamaterial systems. <em>Computer Methods in Applied Mechanics and Engineering<\/em>, <em>372<\/em>, 113377.<\/span><\/section>\n<\/li>\n<li style=\"font-size: 15px;color: rgb(63, 63, 63);\">\n<section style=\"margin-bottom: 0px;line-height: 1.75em;text-align: left;\"><span style=\"font-size: 15px;color: rgb(63, 63, 63);\">Bastek, J. H., Kumar, S., Telgen, B., Glaesener, R. N., &amp; Kochmann, D. M. (2022). Inverting the structure\u2013property map of truss metamaterials by deep learning. <em>Proceedings of the National Academy of Sciences<\/em>, <em>119<\/em>(1), e2111505119.<\/span><\/section>\n<\/li>\n<\/ul>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><strong><span style=\"color: rgb(63, 63, 63);font-size: 15px;\"><br  \/><\/span><\/strong><\/h4>\n<h4 style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(33, 166, 210);\"><strong><span style=\"color: rgb(33, 166, 210);font-size: 15px;\">\u57ce\u5e02\u7cfb\u7edf\u7684\u81ea\u52a8\u5efa\u6a21<\/span><\/strong><\/span><\/h4>\n<p style=\"margin-left: 8px;margin-right: 8px;line-height: 1.75em;margin-bottom: 8px;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">\u63a8\u8350\u8bed\uff1a\u57ce\u5e02\u4e5f\u662f\u591a\u5c3a\u5ea6\u7684\u590d\u6742\u7cfb\u7edf\uff0c\u73b0\u5b9e\u4e16\u754c\u79ef\u7d2f\u7684\u6d77\u91cf\u771f\u5b9e\u6570\u636e\u4f7f\u5176\u6210\u4e3a\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u65b9\u6cd5\u7684\u7406\u60f3\u5e94\u7528\u573a\u666f\u3002\u672c\u8282\u63a8\u8350\u7684\u53c2\u8003\u6587\u7ae0\u6db5\u76d6\u57ce\u5e02\u590d\u6742\u7cfb\u7edf\u7684\u4e09\u7c7b\u4e3b\u8981\u95ee\u9898\uff08\u8be6\u89c1\u7b2c\u4e00\u7bc7\u7efc\u8ff0\u6587\u7ae0\uff09\u3002<\/span><\/p>\n<ul start=\"1\" class=\"list-paddingleft-1\" style=\"margin-left: 8px;margin-right: 8px;\">\n<li style=\"color: rgb(63, 63, 63);font-size: 15px;\">\n<p style=\"line-height: 1.75em;margin-bottom: 8px;text-align: left;\"><span style=\"color: rgb(63, 63, 63);font-size: 15px;\">Ding, J., Liu, C., Zheng, Y., Zhang, Y., Yu, Z., Li, R., &#8230; &amp; Li, Y. 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In <em>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2439-2449).<\/em><\/span><\/p>\n<\/li>\n<\/ul>\n<p><br  \/><\/p>\n<p style=\"text-align: center;margin-left: 8px;margin-right: 8px;margin-bottom: 0px;\"><img class=\"rich_pages wxw-img js_insertlocalimg\" data-cropselx1=\"0\" data-cropselx2=\"562\" data-cropsely1=\"0\" data-cropsely2=\"321\" data-imgfileid=\"100213155\" data-ratio=\"0.5714285714285714\" data-s=\"300,640\"  data-type=\"png\" data-w=\"1050\" style=\"width: 562px;height: 321px;\" src=\"\/wp-content\/uploads\/2024\/08\/wxsync-2024-08-61ea65a04124dd81baec2b43be018ca0.png\"  \/><\/p>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;letter-spacing: 0.544px;white-space: normal;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);\"><br  \/><\/p>\n<p style=\"margin-right: 8px;margin-bottom: 0px;margin-left: 8px;outline: 0px;letter-spacing: 0.544px;white-space: normal;font-family: system-ui, -apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;background-color: rgb(255, 255, 255);\"><br  \/><\/p>\n<p style=\"margin-bottom: 0px;outline: currentcolor none 0px;letter-spacing: 0.544px;white-space: normal;color: rgb(136, 136, 136);font-size: 14px;background-color: rgb(255, 255, 255);font-family: -apple-system-font, system-ui, &quot;Helvetica Neue&quot;, &quot;PingFang SC&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif;\"><strong style=\"outline: 0px;letter-spacing: 0.544px;font-size: 15px;text-align: left;color: rgb(255, 255, 255);font-family: PingFangSC-light;\"><span style=\"outline: 0px;background-color: rgb(12, 130, 169);\">\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c<strong style=\"outline: 0px;letter-spacing: 0.544px;background-color: rgb(255, 255, 255);visibility: visible;\"><span style=\"outline: 0px;background-color: rgb(12, 130, 169);visibility: visible;\"><strong style=\"outline: 0px;letter-spacing: 0.544px;visibility: visible;\">\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n<p style=\"display: none;\"><mp-style-type data-value=\"3\"><\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u5bfc\u8bed \u201c\u590d\u6742\u4e16\u754c\uff0c\u7b80\u5355\u89c4\u5219\u3002\u201d \u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u590d\u65e6\u5927\u5b66\u667a\u80fd\u590d\u6742\u4f53\u7cfb\u5b9e\u9a8c\u5ba4\u9752\u5e74\u7814\u7a76\u5458\u6731\u7fa4\u559c\u3001\u6d59\u6c5f\u5927\u5b66\u767e\u4eba\u8ba1\u5212\u7814\u7a76\u5458\u674e\u6a35\u98ce\u3001\u6e05\u534e\u5927\u5b66\u7535\u5b50\u5de5\u7a0b\u7cfb\u6570\u636e\u79d1\u5b66\u4e0e\u667a\u80fd\u5b9e\u9a8c\u5ba4\u535a\u58eb\u540e\u7814\u7a76\u5458\u4e01\u749f\u97ec\u3001\u7f8e\u56fd\u4e1c\u5317\u5927\u5b66\u7269\u7406\u7cfbAlbert-L\u00e1szl\u00f3 Barab\u00e1si\u6307\u5bfc\u7684\u535a\u58eb\u540e\u9ad8\u5a77\u5a77\u3001\u5317\u4eac\u5927\u5b66\u535a\u96c5\u535a\u58eb\u540e\u66f9\u6587\u797a\u3001\u590d\u65e6\u5927\u5b66\u6570\u5b66\u79d1&#8230;<\/p>\n","protected":false},"author":0,"featured_media":52017,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/52041"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=52041"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/52041\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/52017"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=52041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=52041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=52041"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=52041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}