| Addressing Class Imbalance in Federated Learning L Wang, S Xu, X Wang, Q Zhu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 218 | 2021 |
| Federated Class-Incremental Learning J Dong**, L Wang**, Z Fang, G Sun, S Xu, X Wang, Q Zhu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-22), 2022 | 96* | 2022 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning L Wang, S Xu, X Wang, Q Zhu Arxiv preprint, 2019 | 67 | 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 | 43 | 2020 |
| Trajectory planning for spray painting robot based on point cloud slicing technique W Chen, X Li, H Ge, L Wang, Y Zhang Electronics, 2020 | 41 | 2020 |
| Two-phase probabilistic collaborative representation-based classification J Gou, L Wang, B Hou, J Lv, Y Yuan, Q Mao Expert Systems with Applications, 2019 | 34 | 2019 |
| Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization L Wang*, S Xu*, R Xu, X Wang, Q Zhu International Conference on Learning Representation, Oral (ICLR-22), 2022 | 30 | 2022 |
| Backdoor detection and mitigation in competitive reinforcement learning J Guo, A Li, L Wang, C Liu IEEE/CVF International Conference on Computer Vision (ICCV-23), 2022 | 25* | 2022 |
| Inor-net: Incremental 3-d object recognition network for point cloud representation J Dong, Y Cong, G Sun, L Wang, L Lu, J Li, E Konukoglu IEEE Transactions on Neural Networks and Learning Systems (TNNLS-22), 2022 | 24* | 2022 |
| Deja Vu: Continual Model Generalization For Unseen Domains C Liu**, L Wang**, L Lu, C Sun, X Wang, Q Zhu International Conference on Learning Representations (ICLR-23), 2023 | 21 | 2023 |
| Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator S Xu*, L Wang*, Y Wang, Q Zhu IEEE/CVF International Conference on Computer Vision (ICCV-21), 2021 | 16 | 2021 |
| 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 37th Conference on Neural Information Processing Systems (NeurIPS-23), 2023 | 9 | 2023 |
| {mID}: Tracing Screen Photos via {Moiré} Patterns Y Cheng, X Ji, L Wang, Q Pang, YC Chen, W Xu 30th USENIX Security Symposium (USENIX Security-21), 2021 | 9* | 2021 |
| A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions J Yang, Y Zhao, Y Tao, L Wang, X Li, D Niyato ArXiv Preprint, 2023 | 5 | 2023 |
| Providing domain specific model via universal no data exchange domain adaptation L Wang, S Liang, F Gao Journal of Physics: Conference Series, 2021 | 3 | 2021 |
| Phase-driven Domain Generalizable Learning for Nonstationary Time Series P Mohapatra*, L Wang*, Q Zhu Arxiv Preprint, 2024 | 1 | 2024 |
| DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection L Wang, S Xu, X Du, Q Zhu IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP-24), 2024 | 1 | 2024 |
| Federated Continual Novel Class Learning L Wang, C Liu, J Guo, J Dong, X Wang, H Huang, Q Zhu Arxiv Preprint, 2023 | 1 | 2023 |
| Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval L Wang, X Du, Q Zhu Arxiv Preprint, 2024 | | 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, 2024 | | 2024 |
Qi ZhuAssociate Professor of Computer EngineeringVerified email at northwestern.edu
