| Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang ACM Transactions on Information Systems (TOIS) 42 (1), 1-27, 2023 | 16 | 2023 |
| Hierarchical projection enhanced multi-behavior recommendation C Meng, H Zhang, W Guo, H Guo, H Liu, Y Zhang, H Zheng, R Tang, X Li, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Compressed Interaction Graph based Framework for Multi-behavior Recommendation W Guo*, C Meng*, E Yuan, Z He, H Guo, Y Zhang, B Chen, Y Hu, R Tang, ... Proceedings of the ACM Web Conference 2023, 960-970, 2023 | 9 | 2023 |
| Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation C Meng, C Zhai, Y Yang, H Zhang, X Li Proceedings of the 32nd ACM International Conference on Information …, 2023 | 6 | 2023 |
| Hypergraph projection enhanced collaborative filtering Y Xiangyi, M Chang, Z Hengyu, L Yongsheng International Journal of Data Science and Analytics, 1-13, 2024 | | 2024 |
| Modeling Domains as Distributions with Uncertainty for Cross-Domain Recommendation X Zhu, M Jin, H Zhang, C Meng, D Zhang, X Li Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Unsupervised Fabric Defect Detection Framework Based on Knowledge Distillation H Liu, S Wang, C Meng, H Zhang, X Xiao, X Li International Conference on Neural Information Processing, 339-351, 2023 | | 2023 |
| Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction H Zhang*, C Meng*, W Guo, H Guo, J Zhu, G Zhao, R Tang, X Li arXiv preprint arXiv:2308.09966, 2023 | | 2023 |
Xiu LITsinghua University在 sz.tsinghua.edu.cn 的电子邮件经过验证
