| 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 |
| Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation J Wu, Q Liu, H Hu, W Fan, S Liu, Q Li, XM Wu, K Tang arXiv preprint arXiv:2310.09874, 2023 | 4 | 2023 |
| FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation Q Liu, J Zhu, J Wu, T Wu, Z Dong, XM Wu arXiv preprint arXiv:2304.00545, 2023 | 4 | 2023 |
| Dataset Condensation for Recommendation J Wu, W Fan, S Liu, Q Liu, R He, Q Li, K Tang arXiv preprint arXiv:2310.01038, 2023 | 3 | 2023 |
| Multi-Domain Learning From Insufficient Annotations R He, S Liu, J Wu, S He, K Tang arXiv preprint arXiv:2305.02757, 2023 | 2 | 2023 |
| Discrete Semantic Tokenization for Deep CTR Prediction Q Liu, H Hu, J Wu, J Zhu, MY Kan, XM Wu arXiv preprint arXiv:2403.08206, 2024 | 1 | 2024 |
| Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling J Wu, W Fan, S Liu, Q Liu, Q Li, K Tang arXiv preprint arXiv:2309.12723, 2023 | 1 | 2023 |
