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Yongfeng Zhang

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Causal Structure Learning with Recommendation System

Oct 19, 2022
Shuyuan Xu, Da Xu, Evren Korpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

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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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Dynamic Causal Collaborative Filtering

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

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Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems

Aug 17, 2022
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah

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GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations

Aug 04, 2022
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei

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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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AutoLossGen: Automatic Loss Function Generation for Recommender Systems

Apr 27, 2022
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang

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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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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Apr 06, 2022
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

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