| When large language models meet personalization: Perspectives of challenges and opportunities J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu, Y Lei, X Chen, ... World Wide Web 27 (4), 42, 2024 | 95 | 2024 |
| AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation R Fan, Y Pu, J Chen, Z Zhu, D Lian, E Chen Proceedings of the ACM Web Conference 2023, 1032-1042, 2023 | 2 | 2023 |
| Invariant Representation Learning via Decoupling Style and Spurious Features R Li, Y Pu, Z Li, H Xie, D Lian arXiv preprint arXiv:2312.06226, 2023 | 1 | 2023 |
| Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation Y Pu, X Chen, X Huang, J Chen, D Lian, E Chen Forty-first International Conference on Machine Learning, 0 | 1 | |
| Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction Q Liu, X Tang, J Huang, X Yu, H Jin, J Chen, Y Pu, D Lian, T Qu, Z Wang, ... arXiv preprint arXiv:2408.16238, 2024 | | 2024 |
| Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation Y Pu, R Fan, J Chen, Z Zhu, D Lian, E Chen ACM Transactions on Recommender Systems, 2024 | | 2024 |
Defu Lian (连德富)Professor, University of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
