HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. - Zuohui Fu; Yikun Xian; Yaxin Zhu; Shuyuan Xu; Zelong Li 001; Gerard de Melo; Yongfeng Zhang (SIGIR, 2021)

Efficient Non-Sampling Knowledge Graph Embedding. - Zelong Li 001; Jianchao Ji; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Chong Chen 001; Yongfeng Zhang (WWW, 2021)

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

From Kepler to Newton: Explainable AI for Science Discovery. - Zelong Li 001; Jianchao Ji; Yongfeng Zhang (CoRR, 2021)

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

AutoLossGen: Automatic Loss Function Generation for Recommender Systems. - Zelong Li 001; Jianchao Ji; Yingqiang Ge; Yongfeng Zhang (SIGIR, 2022)

OpenAGI: When LLM Meets Domain Experts. - Yingqiang Ge; Wenyue Hua; Kai Mei; Jianchao Ji; Juntao Tan; Shuyuan Xu; Zelong Li 001; Yongfeng Zhang (NeurIPS, 2023)

Counterfactual Collaborative Reasoning. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Max Xiong; Juntao Tan; Yingqiang Ge; Hao Wang 014; Yongfeng Zhang (WSDM, 2023)

Efficient Non-Sampling Graph Neural Networks. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (Inf., 2023)

Explainable and Coherent Complement Recommendation Based on Large Language Models. - Zelong Li 001; Yan Liang 004; Ming Wang; Sungro Yoon; Jiaying Shi; Xin Shen; Xiang He 007; Chenwei Zhang; Wenyi Wu; Hanbo Wang; Jin Li 003; Jim Chan; et al. (CIKM, 2024)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation. - Wenyue Hua; Yingqiang Ge; Shuyuan Xu; Jianchao Ji; Zelong Li 001; Yongfeng Zhang (EACL (1), 2024)

GenRec: Large Language Model for Generative Recommendation. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Juntao Tan; Yongfeng Zhang (ECIR (3), 2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents. - Wenyue Hua; Xianjun Yang; Mingyu Jin; Zelong Li 001; Wei Cheng 002; Ruixiang Tang; Yongfeng Zhang (EMNLP (Findings), 2024)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang (SIGIR, 2024)

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. - Zelong Li 001; Jianchao Ji; Yingqiang Ge; Wenyue Hua; Yongfeng Zhang (CoRR, 2024)

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents. - Zelong Li 001; Wenyue Hua; Hao Wang 014; He Zhu; Yongfeng Zhang (CoRR, 2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. - Wenyue Hua; Xianjun Yang; Zelong Li 001; Wei Cheng 002; Yongfeng Zhang (CoRR, 2024)

AIOS: LLM Agent Operating System. - Kai Mei; Zelong Li 001; Shuyuan Xu; Ruosong Ye; Yingqiang Ge; Yongfeng Zhang (CoRR, 2024)

Towards LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang (CoRR, 2024)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. - Shuyuan Xu; Zelong Li 001; Kai Mei; Yongfeng Zhang (CoRR, 2024)

AutoFlow: Automated Workflow Generation for Large Language Model Agents. - Zelong Li 001; Shuyuan Xu; Kai Mei; Wenyue Hua; Balaji Rama; Om Raheja; Hao Wang 014; He Zhu; Yongfeng Zhang (CoRR, 2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li 001; Jindong Wang 001; Yongfeng Zhang (ACL (Findings), 2025)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li 001; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (Trans. Recomm. Syst., 2025)