| RecBole 2.0: towards a more up-to-date recommendation library WX Zhao, Y Hou, X Pan, C Yang, Z Zhang, Z Lin, J Zhang, S Bian, J Tang, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 129 | 2022 |
| Negative sampling for contrastive representation learning: A review L Xu, J Lian, WX Zhao, M Gong, L Shou, D Jiang, X Xie, JR Wen arXiv preprint arXiv:2206.00212, 2022 | 47 | 2022 |
| Prompting large language models for recommender systems: A comprehensive framework and empirical analysis L Xu, J Zhang, B Li, J Wang, M Cai, WX Zhao, JR Wen arXiv preprint arXiv:2401.04997, 2024 | 45 | 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 | 28 | 2023 |
| Tiger: Transferable interest graph embedding for domain-level zero-shot recommendation J Zhuo, J Lian, L Xu, M Gong, L Shou, D Jiang, X Xie, Y Yue Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
| Sequence-level Semantic Representation Fusion for Recommender Systems L Xu, Z Tian, B Li, J Zhang, D Wang, H Wang, J Wang, S Chen, WX Zhao Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 4 | 2024 |
| LSA: Understanding the Threat of Link-Based Scapegoating Attack in Network Tomography X Xu, Y Wang, L Xu, D Li IEEE Transactions on Network Science and Engineering 10 (6), 3670-3681, 2023 | 1 | 2023 |
| Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation L Xu, Z Lin, J Wang, S Chen, WX Zhao, JR Wen Proceedings of the 18th ACM Conference on Recommender Systems, 918-923, 2024 | | 2024 |
Wayne Xin ZhaoProfessor, Renmin University of ChinaE-mailová adresa ověřena na: ruc.edu.cn