Publications

2024

Natural Language is All a Graph Needs
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu and Yongfeng Zhang. In the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). [paper]

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang. In the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). [paper]

GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang. In Proceedings of the 46th European Conference on Information Retrieval (ECIR 2024). [paper]

A Survey on Trustworthy Recommender Systems
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian and Yongfeng Zhang. In ACM Transactions on Recommender Systems (TORS). [paper]

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024). [paper]

Towards LLM-RecSys Alignment based on Textual ID Learning
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li and Yongfeng Zhang. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024). [paper]

AIOS: LLM Agent Operating System
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang. [paper]

2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang. arXiv:2312.03815. [paper]

Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang. In Proceedings of The 9th ACM SIGIR / The 13th International Conference on the Theory of Information Retrieval (ICTIR 2023).[paper]

Deconfounded Causal Collaborative Filtering
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang. In ACM Transactions on Recommender Systems (TORS). [paper]

How to Index Item IDs for Recommendation Foundation Models
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang. In Proceedings of 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2023). [paper]

OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu and Yongfeng Zhang. Advances in Neural Information Processing Systems (NeurIPS 2023). [paper]

Causal Inference for Recommendation: Foundations, Methods and Applications
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang. arXiv:2301.04016. [paper]

Counterfactual Collaborative Reasoning
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang. In Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). [paper]

Efficient Non-Sampling Graph Neural Networks
Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang. Information 2023. [paper)]

Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu and Yongfeng Zhang. In ACM Transactions on Intelligent Systems and Technology (TIST). [paper)]

2022

Fairness-aware Federated Matrix Factorization
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang and Amelie Marian. In Proceedings of the 16th ACM Conference on Recommender Systems (RecSys 2022). [paper]

Dynamic Causal Collaborative Filtering
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke and Yongfeng Zhang. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). [paper]

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 and Yongfeng Zhang. In Proceedings of the Web Conference 2022 (WWW 2022). [paper]

Causal Structure Learning with Recommendation System
Shuyuan Xu, Da Xu, Evren Korpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang. arXiv:2210.10256. [paper]

2021

Efficient Non-Sampling Knowledge Graph Embedding
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen and Yongfeng Zhang. In Proceedings of the Web Conference 2021 (WWW 2021). [paper]

Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen and Yongfeng Zhang. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). [paper]

Counterfactual Evaluation for Explainable AI
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang. arXiv:2109.01962. [paper]

Towards Personalized Fairness based on Causal Notion
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge and Yongfeng Zhang. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [paper]

FedCT: Federated Collaborative Transfer for Recommendation
Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang and Amelie Marian. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [paper]

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation
Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo and Yongfeng Zhang. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [paper]

Learning Causal Explanations for Recommendation
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang. In Proceedings of the 1st International Workshop on Causality in Search and Recommendation. [paper]

2020

Learning Personalized Risk Preferences for Recommendation
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun and Yongfeng Zhang. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). [paper]

Fairness-aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang and Gerard de Melo. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). [paper]

HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). [paper]

Discrete Knowledge Graph Embedding based on Discrete Optimization
Yunqi Li, Shuyuan Xu, Zuohui Fu, Shuchang Liu, Bo Liu, Xu Chen and Yongfeng Zhang. In Proceedings of the AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services. [paper]

2019

Maximizing Marginal Utility per Dollar for Economic Recommendation
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu and Yongfeng Zhang. In Proceedings of the Web Conference 2019 (WWW 2019). [paper]