| Diffusion recommender model W Wang, Y Xu, F Feng, X Lin, X He, TS Chua Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 147 | 2023 |
| Causal representation learning for out-of-distribution recommendation W Wang, X Lin, F Feng, X He, M Lin, TS Chua Proceedings of the ACM Web Conference 2022, 3562-3571, 2022 | 108 | 2022 |
| Generative recommendation: Towards next-generation recommender paradigm W Wang, X Lin, F Feng, X He, TS Chua arXiv preprint arXiv:2304.03516, 2023 | 99 | 2023 |
| Data-efficient Fine-tuning for LLM-based Recommendation X Lin, W Wang, Y Li, S Yang, F Feng, Y Wei, TS Chua Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 88 | 2024 |
| Bridging items and language: A transition paradigm for large language model-based recommendation X Lin, W Wang, Y Li, F Feng, SK Ng, TS Chua Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 64* | 2024 |
| A survey of generative search and recommendation in the era of large language models Y Li, X Lin, W Wang, F Feng, L Pang, W Li, L Nie, X He, TS Chua arXiv preprint arXiv:2404.16924, 2024 | 18 | 2024 |
| Learnable item tokenization for generative recommendation W Wang, H Bao, X Lin, J Zhang, Y Li, F Feng, SK Ng, TS Chua Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 14* | 2024 |
| Equivariant Learning for Out-of-Distribution Cold-start Recommendation W Wang, X Lin, L Wang, F Feng, Y Wei, TS Chua Proceedings of the 31st ACM International Conference on Multimedia, 903-914, 2023 | 13 | 2023 |
| Causal disentangled recommendation against user preference shifts W Wang, X Lin, L Wang, F Feng, Y Ma, TS Chua ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 13 | 2023 |
| Temporally and Distributionally Robust Optimization for Cold-start Recommendation X Lin, W Wang, J Zhao, Y Li, F Feng, TS Chua Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8750-8758, 2024 | 11 | 2024 |
| Large language models for recommendation: Past, present, and future K Bao, J Zhang, X Lin, Y Zhang, W Wang, F Feng Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 9 | 2024 |
| Popularity-aware Distributionally Robust Optimization for Recommendation System J Zhao, W Wang, X Lin, L Qu, J Zhang, TS Chua Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 9 | 2023 |
| Mitigating spurious correlations for self-supervised recommendation XY Lin, YY Xu, WJ Wang, Y Zhang, FL Feng Machine Intelligence Research 20 (2), 263-275, 2023 | 7 | 2023 |
| Efficient Inference for Large Language Model-based Generative Recommendation X Lin, C Yang, W Wang, Y Li, C Du, F Feng, SK Ng, TS Chua arXiv preprint arXiv:2410.05165, 2024 | 1 | 2024 |
| Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation Z Lv, T Zhan, W Wang, X Lin, S Zhang, W Zhang, J Li, K Kuang, F Wu arXiv preprint arXiv:2501.05647, 2025 | | 2025 |
| The 2nd Workshop on Recommendation with Generative Models W Wang, Y Zhang, X Lin, F Feng, W Liu, Y Liu, X Zhao, WX Zhao, Y Song, ... Companion Proceedings of the ACM on Web Conference 2024, 1715-1718, 2024 | | 2024 |