DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. - Qing Ye; Yuhao Zhou; Mingjia Shi; Yanan Sun 001; Jiancheng Lv 001 (CoRR, 2020)

Personalized Federated Learning with Hidden Information on Personalized Prior. - Mingjia Shi; Yuhao Zhou; Qing Ye; Jiancheng Lv 001 (CoRR, 2022)

FLSGD: free local SGD with parallel synchronization. - Qing Ye; Yuhao Zhou; Mingjia Shi; Jiancheng Lv 001 (J. Supercomput., 2022)

Correction to: FLSGD: free local SGD with parallel synchronization. - Qing Ye; Yuhao Zhou; Mingjia Shi; Jiancheng Lv 001 (J. Supercomput., 2022)

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. - Yuhao Zhou; Mingjia Shi; Yuanxi Li; Yanan Sun 001; Qing Ye; Jiancheng Lv 001 (ICCV, 2023)

Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. - Mingjia Shi; Yuhao Zhou; Qing Ye; Jiancheng Lv 001 (ICONIP (8), 2023)

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. - Mingjia Shi; Yuhao Zhou; Kai Wang 036; Huaizheng Zhang; Shudong Huang; Qing Ye; Jiancheng Lv 001 (NeurIPS, 2023)

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. - Yuhao Zhou; Mingjia Shi; Qing Ye; Yanan Sun 001; Jiancheng Lv 001 (CoRR, 2023)

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. - Mingjia Shi; Yuhao Zhou; Kai Wang; Huaizheng Zhang; Shudong Huang; Qing Ye; Jiangcheng Lv (CoRR, 2023)

DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. - Qing Ye; Yuhao Zhou; Mingjia Shi; Yanan Sun 001; Jiancheng Lv 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. - Kai Wang 036; Yukun Zhou; Mingjia Shi; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Hanwang Zhang; Yang You 001 (CoRR, 2024)

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Mingjia Shi; Guogang Zhu; Shaojie Tang 001 (CoRR, 2024)

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training. - Mingjia Shi; Yuhao Zhou; Ruiji Yu; Zekai Li; Zhiyuan Liang; Xuanlei Zhao; Xiaojiang Peng; Tanmay Rajpurohit; Shanmukha Ramakrishna Vedantam; Wangbo Zhao; Kai Wang 036; Yang You 001 (CoRR, 2024)

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. - Sifan Zhou; Shuo Wang 001; Zhihang Yuan; Mingjia Shi; Yuzhang Shang; Dawei Yang (ACL (Findings), 2025)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. - Kai Wang 036; Mingjia Shi; Yukun Zhou; Zekai Li; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Hanwang Zhang; Yang You 001 (CVPR, 2025)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. - Yuhao Zhou; Yuxin Tian; Jindi Lv; Mingjia Shi; Yuanxi Li; Qing Ye; Shuhao Zhang; Jiancheng Lv 001 (CVPR, 2025)

Make Optimization Once and for All with Fine-grained Guidance. - Mingjia Shi; Ruihan Lin; Xuxi Chen; Yuhao Zhou; Zezhen Ding; Pingzhi Li; Tong Wang; Kai Wang 036; Zhangyang Wang; Jiheng Zhang; Tianlong Chen 001 (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. - Ziqiao Wang; Wangbo Zhao; Yuhao Zhou; Zekai Li; Zhiyuan Liang; Mingjia Shi; Xuanlei Zhao; Pengfei Zhou; Kaipeng Zhang; Zhangyang Wang; Kai Wang 036; Yang You 001 (CoRR, 2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. - Zhiyuan Liang; Dongwen Tang; Yuhao Zhou; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You 001; et al. (CoRR, 2025)

E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing. - Yuhao Zhou; Yuxin Tian; Mingjia Shi; Yuanxi Li; Yanan Sun 001; Qing Ye; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)