| Openagi: When llm meets domain experts Y Ge, W Hua, K Mei, J Tan, S Xu, Z Li, Y Zhang Advances in Neural Information Processing Systems 36, 2024 | 194 | 2024 |
| Counterfactual Explainable Recommendation J Tan, S Xu, Y Ge, Y Li, Y Zhang The 30th ACM International Conference on Information and Knowledge …, 2021 | 165 | 2021 |
| Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning J Tan, S Geng, Z Fu, Y Ge, S Xu, Y Li, Y Zhang The Web Conference 2022 (WWW 2022), 2022 | 117 | 2022 |
| Path Language Modeling over Knowledge Graphsfor Explainable Recommendation S Geng, Z Fu, J Tan, Y Ge, G De Melo, Y Zhang Proceedings of the ACM Web Conference 2022, 946-955, 2022 | 86 | 2022 |
| Fairness in Recommendation: A Survey Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang arXiv preprint arXiv:2205.13619, 2022 | 79 | 2022 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang ACM Transactions on Recommender Systems, 2022 | 73 | 2022 |
| Explainable fairness in recommendation Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 70 | 2022 |
| VIP5: Towards Multimodal Foundation Models for Recommendation S Geng, J Tan, S Liu, Z Fu, Y Zhang arXiv preprint arXiv:2305.14302, 2023 | 66 | 2023 |
| Deconfounded causal collaborative filtering S Xu, J Tan, S Heinecke, VJ Li, Y Zhang ACM Transactions on Recommender Systems, 2021 | 49 | 2021 |
| Fairness in Recommendation: Foundations, Methods, and Applications Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang ACM Transactions on Intelligent Systems and Technology 14 (5), 1-48, 2023 | 48 | 2023 |
| Genrec: Large language model for generative recommendation J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang European Conference on Information Retrieval, 494-502, 2024 | 43 | 2024 |
| Dynamic Causal Collaborative Filtering S Xu, J Tan, Z Fu, J Ji, S Heinecke, Y Zhang Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 2022 |
| Towards llm-recsys alignment with textual id learning J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang arXiv preprint arXiv:2403.19021, 2024 | 21* | 2024 |
| AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System Z Liu, W Yao, J Zhang, L Yang, Z Liu, J Tan, PK Choubey, T Lan, J Wu, ... arXiv preprint arXiv:2402.15538, 2024 | 21 | 2024 |
| xGen-MM (BLIP-3): A Family of Open Large Multimodal Models L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ... arXiv preprint arXiv:2408.08872, 2024 | 19 | 2024 |
| Belief-space planning using learned models with application to underactuated hands A Kimmel, A Sintov, J Tan, B Wen, A Boularias, KE Bekris The International Symposium of Robotics Research, 642-659, 2019 | 19 | 2019 |
| Causal factorization machine for robust recommendation Y Li, H Chen, J Tan, Y Zhang Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-9, 2022 | 17 | 2022 |
| AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning J Zhang, T Lan, R Murthy, Z Liu, W Yao, J Tan, T Hoang, L Yang, Y Feng, ... arXiv preprint arXiv:2402.15506, 2024 | 15 | 2024 |
| Counterfactual Collaborative Reasoning J Ji, Z Li, S Xu, M Xiong, J Tan, Y Ge, H Wang, Y Zhang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 15 | 2023 |
| Causal Inference for Recommendation: Foundations, Methods and Applications S Xu, J Ji, Y Li, Y Ge, J Tan, Y Zhang arXiv preprint arXiv:2301.04016, 2023 | 15 | 2023 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
