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Xinyu Lin
Xinyu Lin
Zweryfikowany adres z u.nus.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
732022
Generative recommendation: Towards next-generation recommender paradigm
W Wang, X Lin, F Feng, X He, TS Chua
arXiv preprint arXiv:2304.03516, 2023
592023
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
472023
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
262023
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
112024
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
72023
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
52023
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
32023
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
22024
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
22023
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
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
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
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