| Openagi: When llm meets domain experts Y Ge, W Hua, K Mei, J Ji, J Tan, S Xu, Z Li, Y Zhang Advances in Neural Information Processing Systems 36, 2024 | 198 | 2024 |
| War and peace (waragent): Large language model-based multi-agent simulation of world wars W Hua, L Fan, L Li, K Mei, J Ji, Y Ge, L Hemphill, Y Zhang arXiv preprint arXiv:2311.17227, 2023 | 70 | 2023 |
| Up5: Unbiased foundation model for fairness-aware recommendation W Hua, Y Ge, S Xu, J Ji, Y Zhang arXiv preprint arXiv:2305.12090, 2023 | 46 | 2023 |
| Efficient non-sampling knowledge graph embedding Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang Proceedings of the Web Conference 2021, 1727-1736, 2021 | 46 | 2021 |
| 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 | 45 | 2024 |
| Autolossgen: Automatic loss function generation for recommender systems Z Li, J Ji, Y Ge, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 23 | 2022 |
| 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 |
| 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 | 16 | 2023 |
| From kepler to newton: Explainable ai for science discovery Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | 16 | 2021 |
| 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 |
| PAP-REC: Personalized Automatic Prompt for Recommendation Language Model Z Li, J Ji, Y Ge, W Hua, Y Zhang arXiv preprint arXiv:2402.00284, 2024 | 7 | 2024 |
| BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis S Lin, W Hua, L Li, CJ Chang, L Fan, J Ji, H Hua, M Jin, J Luo, Y Zhang arXiv preprint arXiv:2404.15532, 2024 | 4 | 2024 |
| MoralBench: Moral Evaluation of LLMs J Ji, Y Chen, M Jin, W Xu, W Hua, Y Zhang arXiv preprint arXiv:2406.04428, 2024 | 3 | 2024 |
| User-controllable recommendation via counterfactual retrospective and prospective explanations J Tan, Y Ge, Y Zhu, Y Xia, J Luo, J Ji, Y Zhang ECAI 2023, 2307-2314, 2023 | 3 | 2023 |
| From Kepler to newton: explainable AI for science Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | 3 | 2021 |
| Integrate Learning and Reasoning for Large Language Model and Recommender Systems J Ji Rutgers The State University of New Jersey, School of Graduate Studies, 2024 | | 2024 |
| Efficient Non-Sampling Graph Neural Networks J Ji, Z Li, S Xu, Y Ge, J Tan, Y Zhang Information 14 (8), 424, 2023 | | 2023 |
| From Kepler to Newton: the Role of Explainable AI in Science Discovery Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | | 2021 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityZweryfikowany adres z rutgers.edu
