Publications
Preprints
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.
[paper]
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang.
[paper]
War and peace (waragent): Large language model-based multi-agent simulation of world wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang.
[paper]
Counterfactual Evaluation for Explainable AI
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang.
[paper]
2024
A Survey on Trustworthy Recommender Systems
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang.
In Proceedings of the Transactions on Recommender Systems (ACM TORS).*
[paper]
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang.
In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024).*
[paper]
2023
OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu and Yongfeng Zhang.
In Proceedings of the Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 23’), 2023, Datasets and Benchmarks, Dec 10 - 16, 2023, New Orleans, USA.
[paper] [code]
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 23’), November 26 - 29, 2023, Beijing, China.
[paper]
Logistics Audience Expansion via Temporal Knowledge Graph
Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang.
In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.
[paper]
Automated Data Denoising for Recommendation
Yingqiang Ge, Mostafa Rahmani, Athirai Irissappane, Jose Sepulveda, James Caverlee, Fei Wang.
In Proceeding of the SIGKDD 23’ MARBLE Workshop, Aug 6 – 10, 2023, Long Beach, CA, USA.
[paper]
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang.
In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 23’).
[paper]
Fairness in Recommendation: A Survey
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang.
In Proceedings of the Transactions on Intelligent Systems and Technology (ACM TIST).
[paper]
Causal Collabrative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen and Yongfeng Zhang.
In Proceedings of The 9th ACM SIGIR / The 13th International Conference on the Theory of Information Retrieval (ICTIR 23’).
[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 23’).
[paper]
2022
Fairness-aware Federated Matrix Factorization
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amelie Marian.
In Proceedings of the 16th ACM Recommender Systems Conference, Sept. 18 - 23, 2022., Seattle, WA, USA (RecSys 22’)
[paper]
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang.
In Proceedings of the 16th ACM Recommender Systems Conference, Sept. 18 - 23, 2022., Seattle, WA, USA (RecSys 22’)
[paper]
Explainable Fairness in Recommendation
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang.
In Proceedings of the 45th International ACM SIGIR Conference, July 11 - 15, 2022, Madrid, Spain (SIGIR 22’).
[paper]
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li, Jianchao Ji, Yingqiang Ge and Yongfeng Zhang.
In Proceedings of the 45th International ACM SIGIR Conference, July 11 - 15, 2022, Madrid, Spain (SIGIR 22’).
[paper]
FAIR: Fairness-Aware Information Retrieval Evaluation
Ruoyuan Gao, Yingqiang Ge, Chirag Shah.
In Proceedings of the Journal of the Association for Information Science and Technology (JASIST).
[paper]
Improving Personalized Explanation Generation through Visualization
Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang.
In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 22’).
[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, Yongfeng Zhang, Yongfeng Zhang.
In Proceedings of the Web Conference 2022, April 25 – 29, Online, hosted by Lyon, France (WWW 22’).
[paper]
Path Language Modeling over Knowledge Graphs for Explainable Recommendation
Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo and Yongfeng Zhang.
In Proceedings of the Web Conference 2022, April 25 – 29, Online, hosted by Lyon, France (WWW 22’).
[paper]
Towards Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu and Yongfeng Zhang.
In Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM 22’).
[paper]
2021
Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang.
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 21’).
[paper]
Personalized Counterfactual Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge and Yongfeng Zhang.
In Proceedings of the 44th International ACM SIGIR Conference, July 11-15, 2021, Online (SIGIR 21’).
[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, July 15, 2021, Virtual Event, Canada.
[paper]
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, April 19 - April 23, 2021, Ljubljana, Slovenia (WWW 21’).
[paper]
Variation Control and Evaluation for Generative Slate Recommendations
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Wenwu Ou and Yongfeng Zhang.
In Proceedings of the Web Conference 2021, April 19 - April 23, 2021, Ljubljana, Slovenia (WWW 21’).
[paper]
User-oriented Group Fairness In Recommender Systems
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge and Yongfeng Zhang.
In Proceedings of the Web Conference 2021, April 19 - April 23, 2021, Ljubljana, Slovenia (WWW 21’).
[paper]
Towards Long-term Fairness in Recommendation
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, and Yongfeng Zhang.
In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 21’).
[paper]
2020
CAFE: Coarse-to-Fine Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang.
In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 20’).
[paper]
Learning Personalized RiskPreferences 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 20’).
[paper]
Understanding Echo Chambers in E-commerce Recommender Systems
Yingqiang Ge*, Shuya Zhao*, Honglu Zhou, Changhua Pei, Fei Sun, Zuohui Fu, Yikun Xian, Wenwu Ou & YongfengZhang.
In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Industry Track (SIGIR 20’).
[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, Gerard de Melo.
In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 20’).
[paper]
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo.
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 20’).
[paper]
2019
Maximizing MarginalUtility 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, May 13 - 17, 2019, San Francisco, USA. (WWW 19’).
[paper]
sharedCharging: Data-DrivenShared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets
Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu,Fan Zhang, Yang Wang and Desheng Zhang.
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT/UbiComp 19’).
[paper]
(* denotes equal contribution)