| Disentangled contrastive learning for social recommendation J Wu, W Fan, J Chen, S Liu, Q Li, K Tang Proceedings of the 31st ACM International Conference on Information …, 2022 | 44 | 2022 |
| Knowledge-enhanced black-box attacks for recommendations J Chen, W Fan, G Zhu, X Zhao, C Yuan, Q Li, Y Huang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 27 | 2022 |
| Fairly adaptive negative sampling for recommendations X Chen, W Fan, J Chen, H Liu, Z Liu, Z Zhang, Q Li Proceedings of the ACM Web Conference 2023, 3723-3733, 2023 | 18 | 2023 |
| AutoGSR: Neural architecture search for graph-based session recommendation J Chen, G Zhu, H Hou, C Yuan, Y Huang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 16 | 2022 |
| Semi-supervised embedding learning for high-dimensional bayesian optimization J Chen, G Zhu, C Yuan, Y Huang arXiv preprint arXiv:2005.14601, 2020 | 8 | 2020 |
| Towards Self-supervised Learning on Graphs with Heterophily J Chen, G Zhu, Y Qi, C Yuan, Y Huang Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation J Chen, Y Wang, P Wang, X Chen, Z Zhang, Z Lei, Q Li arXiv preprint arXiv:2308.01127, 2023 | 1 | 2023 |
