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 | 78 | 2022 |
Generative recommendation: Towards next-generation recommender paradigm W Wang, X Lin, F Feng, X He, TS Chua arXiv preprint arXiv:2304.03516, 2023 | 64 | 2023 |
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 | 59 | 2023 |
A multi-facet paradigm to bridge large language model and recommendation X Lin, W Wang, Y Li, F Feng, SK Ng, TS Chua arXiv preprint arXiv:2310.06491, 2023 | 32 | 2023 |
Data-efficient Fine-tuning for LLM-based Recommendation X Lin, W Wang, Y Li, S Yang, F Feng, Y Wei, TS Chua arXiv preprint arXiv:2401.17197, 2024 | 19 | 2024 |
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 | 7 | 2023 |
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 | 6 | 2023 |
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 | 3 | 2024 |
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 | 3 | 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 | 3 | 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 | 2 | 2023 |
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 |
Learnable Tokenizer for LLM-based Generative Recommendation W Wang, H Bao, X Lin, J Zhang, Y Li, F Feng, SK Ng, TS Chua arXiv preprint arXiv:2405.07314, 2024 | | 2024 |
Large Language Models for Recommendation: Past, Present, and Future K Bao, J Zhang, X Lin, Y Zhang, W Wang, F Feng | | 2024 |
Mitigating spurious correlations for self-supervised recommendation. Machine Intelligence Research XY Lin, YY Xu, WJ Wang, Y Zhang, FL Feng Journal of Automation and Computing 18 (3), 492-502, 2021 | | 2021 |