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ExplainableFold: Understanding AlphaFold Prediction with Explainable AI


Jan 27, 2023
Juntao Tan, Yongfeng Zhang

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Causal Inference for Recommendation: Foundations, Methods and Applications


Jan 08, 2023
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

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Dynamic Causal Collaborative Filtering


Aug 23, 2022
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang

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* In ACM CIKM 2022 

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A Survey on Trustworthy Recommender Systems


Jul 25, 2022
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

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Fairness in Recommendation: A Survey


Jun 01, 2022
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

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* 38 pages, 2 figures, 1 table 

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Residue-based Label Protection Mechanisms in Vertical Logistic Regression


May 09, 2022
Juntao Tan, Lan Zhang, Yang Liu, Anran Li, Ye Wu

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* Accepted by 8th International Conference on Big Data Computing and Communications (BigCom) 2022 

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Explainable Fairness in Recommendation


Apr 24, 2022
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang

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Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning


Feb 17, 2022
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

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* To be published at the Web Conference 2022 (WWW 2022) 

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Deconfounded Causal Collaborative Filtering


Oct 14, 2021
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang

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* 9 pages, 5 figures; comments and suggestions are highly appreciated 

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Counterfactual Evaluation for Explainable AI


Sep 05, 2021
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

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