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Kun Zhang
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Causal Discovery with Cascade Nonlinear Additive Noise Models


May 23, 2019
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

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* Appears in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) 
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Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA


Apr 19, 2019
Ricardo Pio Monti, Kun Zhang, Aapo Hyvarinen

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Generative-Discriminative Complementary Learning


Apr 16, 2019
Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich

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Causal Discovery from Heterogeneous/Nonstationary Data


Mar 19, 2019
Biwei Huang, Kun Zhang, Jiji Zhang, Joseph Ramsey, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf

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On Learning Invariant Representation for Domain Adaptation


Jan 27, 2019
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon

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Random Occlusion-recovery for Person Re-identification


Oct 15, 2018
Di Wu, Kun Zhang, Si-Jia Zheng, De-Shuang Huang

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Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping


Sep 16, 2018
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao

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Counting and Sampling from Markov Equivalent DAGs Using Clique Trees


Sep 11, 2018
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang

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Transfer Learning with Label Noise


Aug 08, 2018
Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao

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Causal discovery in the presence of missing data


Jul 11, 2018
Ruibo Tu, Cheng Zhang, Paul Ackermann, Hedvig Kjellström, Kun Zhang

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* 16 pages, 6 figures, 2 algorithms, 2 propositions 
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