Learning Post-Hoc Causal Explanations for Recommendation. - Shuyuan Xu; Yunqi Li 003; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang (CoRR, 2020)

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. - Yunqi Li 003; Yingqiang Ge; Yongfeng Zhang (CIKM, 2021)

Counterfactual Explainable Recommendation. - Juntao Tan; Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Xu Chen 017; Yongfeng Zhang (CIKM, 2021)

Towards Personalized Fairness based on Causal Notion. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Yongfeng Zhang (SIGIR, 2021)

Tutorial on Fairness of Machine Learning in Recommender Systems. - Yunqi Li 003; Yingqiang Ge; Yongfeng Zhang (SIGIR, 2021)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

Neural Collaborative Reasoning. - Hanxiong Chen; Shaoyun Shi; Yunqi Li 003; Yongfeng Zhang (WWW, 2021)

User-oriented Fairness in Recommendation. - Yunqi Li 003; Hanxiong Chen; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang (WWW, 2021)

Discrete Knowledge Graph Embedding based on Discrete Optimization. - Yunqi Li 003; Shuyuan Xu; Bo Liu 093; Zuohui Fu; Shuchang Liu 001; Xu Chen 017; Yongfeng Zhang (CoRR, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang (CoRR, 2021)

Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). - Hanxiong Chen; Yunqi Li 003; He Zhu 001; Yongfeng Zhang (CIKM, 2022)

Causal factorization machine for robust recommendation. - Yunqi Li 003; Hanxiong Chen; Juntao Tan; Yongfeng Zhang (JCDL, 2022)

Graph Collaborative Reasoning. - Hanxiong Chen; Yunqi Li 003; Shaoyun Shi; Shuchang Liu 001; He Zhu 001; Yongfeng Zhang (WSDM, 2022)

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. - Juntao Tan; Shijie Geng; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Yunqi Li 003; Yongfeng Zhang (WWW, 2022)

Fairness in Recommendation: A Survey. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang (CoRR, 2022)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (CoRR, 2022)

Causal Collaborative Filtering. - Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Zuohui Fu; Xu Chen 017; Yongfeng Zhang (ICTIR, 2023)

Fairness of ChatGPT. - Yunqi Li 003; Yongfeng Zhang (CoRR, 2023)

Fairness in Recommendation: Foundations, Methods, and Applications. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 006; Yongfeng Zhang (ACM Trans. Intell. Syst. Technol., 2023)

Fairness in Survival Outcome Prediction for Medical Treatments. - Yunqi Li 003; Hanxiong Chen; Lanjing Zhang; Yongfeng Zhang (CISS, 2024)

Probing into the Fairness of Large Language Models: A Case Study of ChatGPT. - Yunqi Li 003; Lanjing Zhang; Yongfeng Zhang (CISS, 2024)

Causal Inference for Recommendation: Foundations, Methods, and Applications. - Shuyuan Xu; Jianchao Ji; Yunqi Li 003; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (ACM Trans. Intell. Syst. Technol., 2025)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 006; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (Trans. Recomm. Syst., 2025)