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\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h2>\n
[1] Cai R, Qiao J, Zhang K, et al. Causal discovery from discrete data using hidden compact representation[C]\/\/Proceedings of the 31st Advances in neural information processing systems, 2018: 2666-2674.<\/span><\/section>\n
[2] Cai R, Qiao J, Zhang Z, et al. SELF: Structural Equational Likelihood Framework for Causal Discovery[C]\/\/Thirty-Second AAAI Conference on Artificial Intelligence. 2018.<\/span><\/section>\n
[3] Cai R, Xie F, Glymour C, et al. Triad Constraints for Learning Causal Structure of Latent Variables[C]\/\/Advances in Neural Information Processing Systems. 2019: 12863-12872.<\/span><\/section>\n
[4] Xie F, Cai R, Huang B, et al. Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs[C]\/\/Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2020.<\/span><\/section>\n
[5] Cai R, Li J, Zhang Z, et al. DACH: Domain Adaptation Without Domain Information[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020.<\/span><\/section>\n
[6] Cai R, Chen J, Li Z, et al. Time Series Domain Adaptation via Sparse Associative Structure Alignment[C]\/\/ Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021.<\/span><\/section>\n
[7] Cai R, Li Z, Wei P, et al. Learning disentangled semantic representation for domain adaptation[C]\/\/Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. NIH Public Access, 2019.<\/span><\/section>\n
[8] \u8521\u745e\u521d, \u9648\u8587, \u5f20\u5764, \u7b49. \u57fa\u4e8e\u975e\u65f6\u5e8f\u89c2\u5bdf\u6570\u636e\u7684\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u7efc\u8ff0[J]. \u8ba1\u7b97\u673a\u5b66\u62a5, 2017, 40(6): 1470-1490.<\/span><\/section>\n


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