| Addressing Class Imbalance in Federated Learning L Wang, S Xu, X Wang, Q Zhu AAAI, 2021 | 308 | 2021 |
| Federated class-incremental learning J Dong**, L Wang**, Z Fang, G Sun, S Xu, X Wang, Q Zhu CVPR, 2022 | 187 | 2022 |
| Backdoor defense with machine unlearning Y Liu, M Fan, C Chen, X Liu, Z Ma, L Wang, J Ma INFOCOM, 2022 | 89 | 2022 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning L Wang, S Xu, X Wang, Q Zhu Arxiv preprint, 2019 | 80* | 2019 |
| Weighted discriminative collaborative competitive representation for robust image classification J Gou, L Wang, Z Yi, Y Yuan, W Ou, Q Mao Neural Networks, 2020 | 45 | 2020 |
| Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization L Wang*, S Xu*, R Xu, X Wang, Q Zhu ICLR Oral, 2022 | 43 | 2022 |
| Domain watermark: Effective and harmless dataset copyright protection is closed at hand J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu, B Li NeurIPS, 2024 | 41 | 2024 |
| Inor-net: Incremental 3-d object recognition network for point cloud representation J Dong, Y Cong, G Sun, L Wang, L Lyu, J Li, E Konukoglu TNNLS, 2023 | 41* | 2023 |
| Policycleanse: Backdoor detection and mitigation for competitive reinforcement learning J Guo, A Li, L Wang, C Liu ICCV, 2023 | 41* | 2023 |
| Dc-ssl: Addressing mismatched class distribution in semi-supervised learning Z Zhao, L Zhou, Y Duan, L Wang, L Qi, Y Shi CVPR, 2022 | 36 | 2022 |
| Deja Vu: Continual Model Generalization For Unseen Domains C Liu**, L Wang**, L Lu, C Sun, X Wang, Q Zhu ICLR, 2023 | 23 | 2023 |
| Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator S Xu*, L Wang*, Y Wang, Q Zhu ICCV, 2021 | 17 | 2021 |
| A survey of federated unlearning: A taxonomy, challenges and future directions Y Zhao, J Yang, Y Tao, L Wang, X Li, D Niyato IEEE Network Magzine, 2023 | 16* | 2023 |
| {mID}: Tracing Screen Photos via {Moiré} Patterns Y Cheng, X Ji, L Wang, Q Pang, YC Chen, W Xu USENIX Security, 2021 | 16 | 2021 |
| Practical Unlearning for Large Language Models C Gao**, L Wang**, C Weng, X Wang, Q Zhu ICLR, 2024 | 8 | 2024 |
| Exploring backdoor attacks against large language model-based decision making R Jiao, S Xie, J Yue, T Sato, L Wang, Y Wang, QA Chen, Q Zhu ICLR, 2024 | 8 | 2024 |
| Federated Learning with New Knowledge: Fundamentals, Advances, and Futures L Wang, Y Zhao, J Dong, A Yin, Q Li, X Wang, D Niyato, Q Zhu arXiv preprint arXiv:2402.02268, 2024 | 6 | 2024 |
| Federated Continual Novel Class Learning L Wang, C Liu, J Guo, J Dong, X Wang, H Huang, Q Zhu arXiv preprint arXiv:2312.13500, 2023 | 5* | 2023 |
| Phase-driven Domain Generalizable Learning for Nonstationary Time Series P Mohapatra*, L Wang*, Q Zhu Arxiv Preprint, 2024 | 4 | 2024 |
| Providing domain specific model via universal no data exchange domain adaptation L Wang, S Liang, F Gao Journal of Physics: Conference Series, 2021 | 4 | 2021 |
Qi ZhuProfessor of Computer Engineeringnorthwestern.edu의 이메일 확인됨