| Performance optimization of federated person re-identification via benchmark analysis W Zhuang, Y Wen, X Zhang, X Gan, D Yin, D Zhou, S Zhang, S Yi Proceedings of the 28th ACM International Conference on Multimedia, 955-963, 2020 | 99 | 2020 |
| Divergence-aware Federated Self-Supervised Learning W Zhuang, Y Wen, S Zhang International Conference on Learning Representations, 2021 | 84 | 2021 |
| Collaborative Unsupervised Visual Representation Learning from Decentralized Data W Zhuang, X Gan, Y Wen, S Zhang, S Yi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 83 | 2021 |
| Joint optimization in edge-cloud continuum for federated unsupervised person re-identification W Zhuang, Y Wen, S Zhang Proceedings of the 29th ACM International Conference on Multimedia, 433-441, 2021 | 39 | 2021 |
| EasyFL: A Low-code Federated Learning Platform For Dummies W Zhuang, X Gan, Y Wen, S Zhang IEEE Internet of Things Journal, 2021 | 38 | 2021 |
| When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions W Zhuang, C Chen, L Lyu arXiv preprint arXiv:2306.15546, 2023 | 33 | 2023 |
| Optimizing performance of federated person re-identification: Benchmarking and analysis W Zhuang, X Gan, Y Wen, S Zhang ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 18 | 2023 |
| Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning W Zhuang, X Gan, Y Wen, X Zhang, S Zhang, S Yi arXiv preprint arXiv:2105.07606, 2021 | 12 | 2021 |
| Addressing Catastrophic Forgetting in Federated Class-Continual Learning J Zhang, C Chen, W Zhuang, L Lv Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 9 | 2023 |
| Federated Unsupervised Domain Adaptation for Face Recognition W Zhuang, X Gan, Y Wen, X Zhang, S Zhang, S Yi 2022 IEEE International Conference on Multimedia and Expo (ICME), 0 | 9* | |
| Is heterogeneity notorious? taming heterogeneity to handle test-time shift in federated learning Y Tan, C Chen, W Zhuang, X Dong, L Lyu, G Long Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Is Normalization Indispensable for Multi-domain Federated Learning? W Zhuang, L Lyu arXiv preprint arXiv:2306.05879, 2023 | 5 | 2023 |
| TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation J Zhang, C Chen, W Zhuang, L Lyu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| MAS: Towards Resource-Efficient Federated Multiple-Task Learning W Zhuang, Y Wen, L Lyu, S Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 4 | 2023 |
| Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering J Liu, W Zhuang, Y Wen, J Huang, W Lin 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 3 | 2022 |
| Smart Multi-tenant Federated Learning W Zhuang, Y Wen, S Zhang arXiv preprint arXiv:2207.04202, 2022 | 2 | 2022 |
| FedWon: Triumphing Multi-domain Federated Learning Without Normalization W Zhuang, L Lyu Proceedings of The Twelfth International Conference on Learning Representations, 2024 | 1* | 2024 |
| Taming Heterogeneity to Deal with Test-Time Shift in Federated Learning Y Tan, C Chen, W Zhuang, X Dong, L Lyu, G Long International Workshop on Federated Learning for Distributed Data Mining, 2023 | 1 | 2023 |
| Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators S Bai, S Li, W Zhuang, J Zhang, K Yang, J Hou, S Yi, S Zhang, J Gao Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 10989 …, 2024 | | 2024 |
| FedMef: Towards Memory-efficient Federated Dynamic Pruning H Huang, W Zhuang, C Chen, L Lyu arXiv preprint arXiv:2403.14737, 2024 | | 2024 |
Yonggang WenFIEEE, FSAEng, Professor & President's Chair, Nanyang Technological University SingaporeVerified email at ntu.edu.sg
