| A survey on large language models for recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... arXiv preprint arXiv:2305.19860, 2023 | 139 | 2023 |
| Drug package recommendation via interaction-aware graph induction Z Zheng, C Wang, T Xu, D Shen, P Qin, B Huai, T Liu, E Chen Proceedings of the Web Conference 2021, 1284-1295, 2021 | 49 | 2021 |
| Exploring large language model for graph data understanding in online job recommendations L Wu, Z Qiu, Z Zheng, H Zhu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9178-9186, 2024 | 38 | 2024 |
| Interaction-aware drug package recommendation via policy gradient Z Zheng, C Wang, T Xu, D Shen, P Qin, X Zhao, B Huai, X Wu, E Chen ACM Transactions on Information Systems 41 (1), 1-32, 2023 | 30 | 2023 |
| Generative job recommendations with large language model Z Zheng, Z Qiu, X Hu, L Wu, H Zhu, H Xiong arXiv preprint arXiv:2307.02157, 2023 | 25 | 2023 |
| Minicpm: Unveiling the potential of small language models with scalable training strategies S Hu, Y Tu, X Han, C He, G Cui, X Long, Z Zheng, Y Fang, Y Huang, ... arXiv preprint arXiv:2404.06395, 2024 | 21 | 2024 |
| CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction Z Zheng, Z Qiu, T Xu, X Wu, X Zhao, E Chen, H Xiong Proceedings of the ACM Web Conference 2022, 2268-2276, 2022 | 19 | 2022 |
| Ddr: Dialogue based doctor recommendation for online medical service Z Zheng, Z Qiu, H Xiong, X Wu, T Xu, E Chen, X Zhao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 14 | 2022 |
| Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation S Wang, Y Sui, J Wu, Z Zheng, H Xiong Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 6 | 2024 |
| Harnessing large language models for text-rich sequential recommendation Z Zheng, W Chao, Z Qiu, H Zhu, H Xiong Proceedings of the ACM on Web Conference 2024, 3207-3216, 2024 | 5 | 2024 |
| Boss: A bilateral occupational-suitability-aware recommender system for online recruitment X Hu, Y Cheng, Z Zheng, Y Wang, X Chi, H Zhu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Multi-source contextual collaborative recommendation for medicine Z Zheng, T Xu, C Qin, X Liao, Y Zheng, T Liu, G Tong Journal of computer research and development 57 (8), 1741-1754, 2020 | 5* | 2020 |
| Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach Z Zheng, Y Sun, X Song, H Zhu, H Xiong Proceedings of the 17th ACM Conference on Recommender Systems, 443-454, 2023 | 4 | 2023 |
| Doctor specific tag recommendation for online medical record management Y Wang, S Ge, X Zhao, X Wu, T Xu, C Ma, Z Zheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Make large language model a better ranker W Chao, Z Zheng, H Zhu, H Liu arXiv preprint arXiv:2403.19181, 2024 | 2 | 2024 |
| Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment Z Zheng, X Hu, Z Qiu, Y Cheng, S Gao, Y Song, H Zhu, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction W Chao, Z Qiu, L Wu, Z Guo, Z Zheng, H Zhu, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19813 …, 2024 | 1 | 2024 |
| DynLLM: When Large Language Models Meet Dynamic Graph Recommendation Z Zhao, F Lin, X Zhu, Z Zheng, T Xu, S Shen, X Li, Z Yin, E Chen arXiv preprint arXiv:2405.07580, 2024 | | 2024 |
| Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network C Wang, Z Zheng, T Xu, Z Yin, E Chen CAAI International Conference on Artificial Intelligence, 218-229, 2022 | | 2022 |
Enhong ChenUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
