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2020 – today
- 2024
[c14]Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. AAAI 2024: 10989-10997- [c13]Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu:
FedMef: Towards Memory-Efficient Federated Dynamic Pruning. CVPR 2024: 27538-27547 - [c12]Weiming Zhuang, Lingjuan Lyu:
FedWon: Triumphing Multi-domain Federated Learning Without Normalization. ICLR 2024 - [c11]Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu:
COALA: A Practical and Vision-Centric Federated Learning Platform. ICML 2024 - [c10]Wei Gao
, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang:
Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. ICS 2024: 259-271 - [i20]Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu:
FedMef: Towards Memory-efficient Federated Dynamic Pruning. CoRR abs/2403.14737 (2024) - [i19]Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu:
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. CoRR abs/2406.07536 (2024) - [i18]Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu:
COALA: A Practical and Vision-Centric Federated Learning Platform. CoRR abs/2407.16560 (2024) - [i17]Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR abs/2408.00350 (2024) - 2023
- [j2]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19(1s): 38:1-38:18 (2023) - [c9]Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. ICCV 2023: 4759-4770 - [c8]Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang:
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. ICCV 2023: 23357-23367 - [c7]Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long:
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS 2023 - [i16]Jie Zhang, Chen Chen, Weiming Zhuang, LingJuan Lv:
Addressing Catastrophic Forgetting in Federated Class-Continual Learning. CoRR abs/2303.06937 (2023) - [i15]Weiming Zhuang, Lingjuan Lyu:
Is Normalization Indispensable for Multi-domain Federated Learning? CoRR abs/2306.05879 (2023) - [i14]Weiming Zhuang, Chen Chen, Lingjuan Lyu:
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. CoRR abs/2306.15546 (2023) - [i13]Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. CoRR abs/2307.05358 (2023) - [i12]Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang:
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. CoRR abs/2307.11285 (2023) - [i11]Muhammad Awais, Weiming Zhuang, Lingjuan Lyu, Sung-Ho Bae:
FROD: Robust Object Detection for Free. CoRR abs/2308.01888 (2023) - 2022
- [b1]Weiming Zhuang:
Toward a generic federated learning platform optimized for computer vision applications. Nanyang Technological University, Singapore, 2022 - [j1]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
EasyFL: A Low-Code Federated Learning Platform for Dummies. IEEE Internet Things J. 9(15): 13740-13754 (2022) - [c6]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Divergence-aware Federated Self-Supervised Learning. ICLR 2022 - [c5]Weiming Zhuang, Xin Gan, Xuesen Zhang, Yonggang Wen, Shuai Zhang, Shuai Yi:
Federated Unsupervised Domain Adaptation for Face Recognition. ICME 2022: 1-6 - [c4]Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin:
Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. MMSP 2022: 1-6 - [i10]Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi:
Federated Unsupervised Domain Adaptation for Face Recognition. CoRR abs/2204.04382 (2022) - [i9]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Divergence-aware Federated Self-Supervised Learning. CoRR abs/2204.04385 (2022) - [i8]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. CoRR abs/2205.12144 (2022) - [i7]Weiming Zhuang, Chongjie Ye, Ying Xu, Pengzhi Mao, Shuai Zhang:
Chat-to-Design: AI Assisted Personalized Fashion Design. CoRR abs/2207.01058 (2022) - [i6]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Smart Multi-tenant Federated Learning. CoRR abs/2207.04202 (2022) - 2021
- [c3]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi:
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. ICCV 2021: 4892-4901 - [c2]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. ACM Multimedia 2021: 433-441 - [i5]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
EasyFL: A Low-code Federated Learning Platform For Dummies. CoRR abs/2105.07603 (2021) - [i4]Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi:
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning. CoRR abs/2105.07606 (2021) - [i3]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi:
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. CoRR abs/2108.06492 (2021) - [i2]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. CoRR abs/2108.06493 (2021) - 2020
- [c1]Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi:
Performance Optimization of Federated Person Re-identification via Benchmark Analysis. ACM Multimedia 2020: 955-963 - [i1]Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi:
Performance Optimization for Federated Person Re-identification via Benchmark Analysis. CoRR abs/2008.11560 (2020)
Coauthor Index
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