Maximizing Marginal Utility per Dollar for Economic Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Shijie Geng; Zuohui Fu; Yongfeng Zhang (WWW, 2019)

Learning Personalized Risk Preferences for Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Zuohui Fu; Fei Sun 001; Yongfeng Zhang (SIGIR, 2020)

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

FedCT: Federated Collaborative Transfer for Recommendation. - Shuchang Liu 001; Shuyuan Xu; Wenhui Yu; Zuohui Fu; Yongfeng Zhang; Amélie Marian (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)

Variation Control and Evaluation for Generative Slate Recommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; 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)

Variation Control and Evaluation for Generative SlateRecommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; 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)

Fairness-aware Federated Matrix Factorization. - Shuchang Liu 001; Yingqiang Ge; Shuyuan Xu; Yongfeng Zhang; Amélie Marian (RecSys, 2022)

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). - Shijie Geng; Shuchang Liu 001; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang (RecSys, 2022)

Explainable Fairness in Recommendation. - Yingqiang Ge; Juntao Tan; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Shuchang Liu 001; Zuohui Fu; Shijie Geng; Zelong Li; Yongfeng Zhang (SIGIR, 2022)

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

VIP5: Towards Multimodal Foundation Models for Recommendation. - Shijie Geng; Juntao Tan; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang (EMNLP (Findings), 2023)

The 1st Workshop on Human-Centered Recommender Systems. - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu 001; Qi Cao; Zhaochun Ren; Fei Sun 001 (WWW (Companion Volume), 2025)

From Generation to Consumption: Personalized List Value Estimation for Re-ranking. - Kaike Zhang; Xiaobei Wang; Xiaoyu Yang; Shuchang Liu 001; Hailan Yang; Xiang Li; Fei Sun 001; Qi Cao (CoRR, 2025)