Publications

CVPR 2025 Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li

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CVPR 2025 Argus: A Compact and Versatile Foundation Model for Vision.
Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu

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ECCV 2024 A Simple Background Augmentation Method for Object Detection with Diffusion Model.
Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu

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ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform.
Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu

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ICS 2024 Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters.
Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang

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CVPR 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning.
Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu

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AAAI 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi

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ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning.
Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang

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NeurIPS 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning.
Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long

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Preprint 2023 When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions.
Weiming Zhuang, Chen Chen, Lingjuan Lyu

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ICLR 2024, KDD-FL4DataMining (Best Industry Paper Award), FL-IJCAI 2023 Is Normalization Indispensable for Multi-domain Federated Learning?.
Weiming Zhuang, Lingjuan Lyu

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ICCV 2023 TARGET: Addressing Catastrophic Forgetting in Federated Class-Continual Learning.
Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lv

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Thesis 2022 Toward A Generic Federated Learning Platform Optimized For Computer Vision Applications.
Weiming Zhuang

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MMSP 2022 Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering.
Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin

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Preprint 2022 Smart Multi-tenant Federated Learning.
Weiming Zhuang, Yonggang Wen, Shuai Zhang

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TOMM 2022 Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis.
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang

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ICME 2022 Federated Unsupervised Domain Adaptation for Face Recognition.
Weiming Zhuang, Xin Gan, Xuesen Zhang, Yonggang Wen, Shuai Zhang, Shuai Yi

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ICLR 2022 Divergence-aware Federated Self-Supervised Learning.
Weiming Zhuang, Yonggang Wen, Shuai Zhang

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IoTJ 2021 EasyFL: A Low-code Federated Learning Platform For Dummies.
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang

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ICCV 2021 Collaborative Unsupervised Visual Representation Learning from Decentralized Data.
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi

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ACMMM 2021 Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification.
Weiming Zhuang, Yonggang Wen, Shuai Zhang

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ACMMM (Oral) 2020 Performance Optimization for Federated Person Re-identification via Benchmark Analysis.
Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi

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Preprint 2020 Chat-to-Design: AI Assisted Personalized Fashion Design.
Weiming Zhuang, Chongjie Ye, Ying Xu, Pengzhi Mao, Shuai Zhang

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