Performance Optimization of Federated Person Re-identification via Benchmark Analysis. - Weiming Zhuang; Yonggang Wen 001; Xuesen Zhang; Xin Gan; Daiying Yin; Dongzhan Zhou; Shuai Zhang 004; Shuai Yi (ACM Multimedia, 2020)

Collaborative Unsupervised Visual Representation Learning from Decentralized Data. - Weiming Zhuang; Xin Gan; Yonggang Wen 001; Shuai Zhang 004; Shuai Yi (ICCV, 2021)

Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. - Weiming Zhuang; Yonggang Wen 001; Shuai Zhang 004 (ACM Multimedia, 2021)

Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning. - Weiming Zhuang; Xin Gan; Yonggang Wen 001; Xuesen Zhang; Shuai Zhang 004; Shuai Yi (CoRR, 2021)

Divergence-aware Federated Self-Supervised Learning. - Weiming Zhuang; Yonggang Wen 001; Shuai Zhang 004 (ICLR, 2022)

Federated Unsupervised Domain Adaptation for Face Recognition. - Weiming Zhuang; Xin Gan; Xuesen Zhang; Yonggang Wen 001; Shuai Zhang 004; Shuai Yi (ICME, 2022)

Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. - Jiabei Liu; Weiming Zhuang; Yonggang Wen 001; Jun Huang 007; Wei Lin 016 (MMSP, 2022)

Chat-to-Design: AI Assisted Personalized Fashion Design. - Weiming Zhuang; Chongjie Ye; Ying Xu; Pengzhi Mao; Shuai Zhang (CoRR, 2022)

Smart Multi-tenant Federated Learning. - Weiming Zhuang; Yonggang Wen 001; Shuai Zhang 004 (CoRR, 2022)

EasyFL: A Low-Code Federated Learning Platform for Dummies. - Weiming Zhuang; Xin Gan; Yonggang Wen 001; Shuai Zhang 004 (IEEE Internet Things J., 2022)

Toward a generic federated learning platform optimized for computer vision applications - Weiming Zhuang (2022)

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; Lingjuan Lyu (ICCV, 2023)

MAS: Towards Resource-Efficient Federated Multiple-Task Learning. - Weiming Zhuang; Yonggang Wen 001; Lingjuan Lyu; Shuai Zhang 004 (ICCV, 2023)

Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. - Yue Tan; Chen Chen 043; Weiming Zhuang; Xin Dong 009; Lingjuan Lyu; Guodong Long (NeurIPS, 2023)

Addressing Catastrophic Forgetting in Federated Class-Continual Learning. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; LingJuan Lv (CoRR, 2023)

Is Normalization Indispensable for Multi-domain Federated Learning? - Weiming Zhuang; Lingjuan Lyu (CoRR, 2023)

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. - Weiming Zhuang; Chen Chen 043; Lingjuan Lyu (CoRR, 2023)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. - Sikai Bai; Shuaicheng Li; Weiming Zhuang; Jie Zhang 076; Song Guo 001; Kunlin Yang; Jun Hou; Shuai Zhang; Junyu Gao 001; Shuai Yi (CoRR, 2023)

FROD: Robust Object Detection for Free. - Muhammad Awais; Weiming Zhuang; Lingjuan Lyu; Sung-Ho Bae (CoRR, 2023)

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. - Weiming Zhuang; Xin Gan; Yonggang Wen 001; Shuai Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. - Sikai Bai; Shuaicheng Li; Weiming Zhuang; Jie Zhang 076; Kunlin Yang; Jun Hou; Shuai Yi; Shuai Zhang; Junyu Gao 001 (AAAI, 2024)

FedMef: Towards Memory-Efficient Federated Dynamic Pruning. - Hong Huang; Weiming Zhuang; Chen Chen 043; Lingjuan Lyu (CVPR, 2024)

A Simple Background Augmentation Method for Object Detection with Diffusion Model. - Yuhang Li 001; Xin Dong 009; Chen Chen 043; Weiming Zhuang; Lingjuan Lyu (ECCV (66), 2024)

FedWon: Triumphing Multi-domain Federated Learning Without Normalization. - Weiming Zhuang; Lingjuan Lyu (ICLR, 2024)

COALA: A Practical and Vision-Centric Federated Learning Platform. - Weiming Zhuang; Jian Xu; Chen Chen 043; Jingtao Li; Lingjuan Lyu (ICML, 2024)

Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. - Wei Gao; Weiming Zhuang; Minghao Li 005; Peng Sun 006; Yonggang Wen 001; Tianwei Zhang 004 (ICS, 2024)

Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. - Wenxiao Wang 002; Weiming Zhuang; Lingjuan Lyu (CoRR, 2024)

Boundary Attention Constrained Zero-Shot Layout-To-Image Generation. - Huancheng Chen; Jingtao Li; Weiming Zhuang; Haris Vikalo; Lingjuan Lyu (CoRR, 2024)

Personalized Federated Mutual Learning for Unsupervised Camera-Aware Person Re-Identification. - Jiabei Liu; Weiming Zhuang; Yuanyuan Liu 004; Yonggang Wen 001; Jun Huang 007; Wei Lin 016 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. - Ronghang Zhu; Mengxuan Hu; Weiming Zhuang; Lingjuan Lyu; Xiang Yu 002; Sheng Li 001 (CVPR, 2025)

Argus: A Compact and Versatile Foundation Model for Vision. - Weiming Zhuang; Chen Chen 043; Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Jiabo Huang; Vikash Sehwag; Vivek Sharma 001; Hirotaka Shinozaki; Felan Carlo Garcia; Yihao Zhan; Naohiro Adachi; et al. (CVPR, 2025)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model. - Weitai Kang; Weiming Zhuang; Zhizhong Li; Yan Yan 006; Lingjuan Lyu (CoRR, 2025)