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Correcting the User Feedback-Loop Bias for Recommendation Systems


Sep 13, 2021
Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang


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Learning to Collaborate


Aug 19, 2021
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang


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Fair and Consistent Federated Learning


Aug 19, 2021
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang


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Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition


Aug 11, 2021
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang


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The Definitions of Interpretability and Learning of Interpretable Models


May 29, 2021
Weishen Pan, Changshui Zhang

* 18 pages, 5 figures 

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xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility


Jun 16, 2020
Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

* change the places of the last four figures 

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Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm


Feb 28, 2017
Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang

* 9 pages 

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