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Transferable Fairness for Cold-Start Recommendation


Jan 25, 2023
Yunqi Li, Dingxian Wang, Hanxiong Chen, 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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Elements of effective machine learning datasets in astronomy


Nov 29, 2022
Bernie Boscoe, Tuan Do, Evan Jones, Yunqi Li, Kevin Alfaro, Christy Ma

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* 5 pages, 1 figure, accepted to the peer-reviewed NeurIPS Machine Learning in the Physical Sciences Workshop, 2022 

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Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)


Aug 24, 2022
Hanxiong Chen, Yunqi Li, He Zhu, 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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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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Graph Collaborative Reasoning


Dec 28, 2021
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang

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* 10 pages. Accepted to ACM WSDM 2022 

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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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