| Adapting large language models by integrating collaborative semantics for recommendation B Zheng, Y Hou, H Lu, Y Chen, WX Zhao, M Chen, JR Wen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1435-1448, 2024 | 74 | 2024 |
| Towards a more user-friendly and easy-to-use benchmark library for recommender systems L Xu, Z Tian, G Zhang, J Zhang, L Wang, B Zheng, Y Li, J Tang, Z Zhang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 26 | 2023 |
| Reciprocal Sequential Recommendation B Zheng, Y Hou, WX Zhao, Y Song, H Zhu Proceedings of the 17th ACM Conference on Recommender Systems, 89-100, 2023 | 9 | 2023 |
| A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation B Zheng, Z Lin, E Liu, C Yang, E Bai, C Ling, WX Zhao, JR Wen arXiv preprint arXiv:2403.13574, 2024 | 5 | 2024 |
| End-to-End Learnable Item Tokenization for Generative Recommendation E Liu, B Zheng, C Ling, L Hu, H Li, WX Zhao arXiv preprint arXiv:2409.05546, 2024 | 2 | 2024 |
| Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation B Zheng, J Zhang, H Lu, Y Chen, M Chen, WX Zhao, JR Wen arXiv preprint arXiv:2409.05633, 2024 | 1 | 2024 |
Wayne Xin ZhaoProfessor, Renmin University of ChinaEmail verificata su ruc.edu.cn