| Integration of Large Language Models and Federated Learning C Chen, X Feng, Y Li, L Lyu, J Zhou, X Zheng, J Yin Cell Patterns, 2024 | 69* | 2024 |
| Vop: Text-video co-operative prompt tuning for cross-modal retrieval S Huang, B Gong, Y Pan, J Jiang, Y Lv, Y Li, D Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 60 | 2023 |
| Making recommender systems forget: Learning and unlearning for erasable recommendation Y Li, C Chen, X Zheng, J Liu, J Wang Knowledge-Based Systems 283, 111124, 2024 | 47 | 2024 |
| Selective and collaborative influence function for efficient recommendation unlearning Y Li, C Chen, X Zheng, Y Zhang, B Gong, J Wang, L Chen Expert Systems with Applications 234, 121025, 2023 | 28 | 2023 |
| Making users indistinguishable: Attribute-wise unlearning in recommender systems Y Li, C Chen, X Zheng, Y Zhang, Z Han, D Meng, J Wang Proceedings of the 31st ACM International Conference on Multimedia, 984-994, 2023 | 19 | 2023 |
| Exponential gradient with momentum for online portfolio selection Y Li, X Zheng, C Chen, J Wang, S Xu Expert Systems with Applications 187, 115889, 2022 | 19 | 2022 |
| UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Y Li, C Chen, Y Zhang, W Liu, L Lyu, X Zheng, D Meng, J Wang Advances in Neural Information Processing Systems (NeurIPS), 2023 | 16 | 2023 |
| Federated unlearning via active forgetting Y Li, C Chen, X Zheng, J Zhang arXiv preprint arXiv:2307.03363, 2023 | 15 | 2023 |
| Adaptive portfolio by solving multi-armed bandit via thompson sampling M Zhu, X Zheng, Y Wang, Y Li, Q Liang arXiv preprint arXiv:1911.05309, 2019 | 13 | 2019 |
| Post-Training Attribute Unlearning in Recommender Systems C Chen, Y Zhang, Y Li, J Wang, L Qi, X Xu, X Zheng, J Yin ACM Transactions on Information Systems (TOIS), 2024 | 8 | 2024 |
| Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation B Gong, S Huang, Y Feng, S Zhang, Y Li, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems Z Han, C Chen, X Zheng, W Liu, J Wang, W Cheng, Y Li Proceedings of the 31st ACM International Conference on Multimedia, 6190-6201, 2023 | 6 | 2023 |
| REFER: Randomized online factor selection framework for portfolio management Y Li, C Chen, X Zheng, Y Wang, B Gong Expert Systems with Applications 223, 119837, 2023 | 5 | 2023 |
| UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training B Gong, S Tan, Y Feng, X Xie, Y Li, C Chen, K Zheng, Y Shen, D Zhao Advances in Neural Information Processing Systems (NeurIPS), 2024 | 4* | 2024 |
| Intra-and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems Z Han, C Chen, X Zheng, M Li, W Liu, B Yao, Y Li, J Yin Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8463-8471, 2024 | 3 | 2024 |
| Hypergraph convolutional network for user-oriented fairness in recommender systems Z Han, C Chen, X Zheng, L Zhang, Y Li Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence C Chen, J Zhang, Y Zhang, L Zhang, L Lyu, Y Li, B Gong, C Yan Advances in Neural Information Processing Systems (NeurIPS), 2024 | 2 | 2024 |
| Controllable Unlearning for Image-to-Image Generative Models via -Constrained Optimization X Feng, Y Li, C Chen, L Zhang, L Li, J Zhou, X Zheng International Conference on Learning Representations (ICLR), 2025 | 1 | 2025 |
| 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 |
| One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment C Chen, J Zhang, Y Li, Z Han International Conference on Machine Learning (ICML), 2024 | 1* | 2024 |
Chaochao ChenZhejiang UniversityE-mailová adresa ověřena na: zju.edu.cn