| Federated large language model: A position paper C Chen, X Feng, J Zhou, J Yin, X Zheng arXiv e-prints, arXiv: 2307.08925, 2023 | 66 | 2023 |
| A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions Y Li, X Feng, C Chen, Q Yang arXiv preprint arXiv:2412.12836, 2024 | 1 | 2024 |
| Integration of large language models and federated learning C Chen, X Feng, Y Li, L Lyu, J Zhou, X Zheng, J Yin Patterns 5 (12), 2024 | 1 | 2024 |
| Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models XH Feng, C Chen, Y Li, Z Lin Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| Controllable Unlearning for Image-to-Image Generative Models via -Constrained Optimization X Feng, C Chen, Y Li, L Zhang arXiv preprint arXiv:2408.01689, 2024 | | 2024 |
| Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems XH Feng, Y Li, F Yu, L Zhang, C Chen, X Zheng THE WEB CONFERENCE 2025, 0 | | |
