| Openagi: When llm meets domain experts Y Ge, W Hua, J Ji, J Tan, S Xu, Z Li, Y Zhang arXiv preprint arXiv:2304.04370, 2023 | 110 | 2023 |
| 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 | 55 | 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 | 52 | 2022 |
| Hoops: Human-in-the-loop graph reasoning for conversational recommendation Z Fu, Y Xian, Y Zhu, S Xu, Z Li, G De Melo, Y Zhang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 38 | 2021 |
| 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 | 36 | 2021 |
| 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 | 22 | 2022 |
| 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 | 21 | 2024 |
| From Kepler to Newton: Explainable AI for Science Z Li, J Ji, Y Zhang arXiv preprint arXiv:2111.12210, 2021 | 17 | 2021 |
| Counterfactual evaluation for explainable AI Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang arXiv preprint arXiv:2109.01962, 2021 | 12 | 2021 |
| 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 | 11 | 2023 |
| 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 | 6 | 2024 |
| Formal-llm: Integrating formal language and natural language for controllable llm-based agents Z Li, W Hua, H Wang, H Zhu, Y Zhang arXiv preprint arXiv:2402.00798, 2024 | 5 | 2024 |
| AIOS: LLM agent operating system K Mei, Z Li, S Xu, R Ye, Y Ge, Y Zhang arXiv e-prints, pp. arXiv–2403, 2024 | 4* | 2024 |
| CoRE: LLM as Interpreter for Natural Language Programming, Pseudo-Code Programming, and Flow Programming of AI Agents S Xu, Z Li, K Mei, Y Zhang arXiv preprint arXiv:2405.06907, 2024 | 3 | 2024 |
| TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution W Hua, X Yang, Z Li, C Wei, Y Zhang arXiv preprint arXiv:2402.01586, 2024 | 3 | 2024 |
| 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 | 3 | 2024 |
| IDGenRec: LLM-RecSys Alignment with Textual ID Learning J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities W Hua, K Zhu, L Li, L Fan, S Lin, M Jin, H Xue, Z Li, JD Wang, Y Zhang arXiv preprint arXiv:2406.02787, 2024 | 1 | 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 |
| AutoFlow: Automated Workflow Generation for Large Language Model Agents Z Li, S Xu, K Mei, W Hua, B Rama, O Raheja, H Wang, H Zhu, Y Zhang | | |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityVerified email at rutgers.edu
