Mingjia Shi

According to our database, Mingjia Shi authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing.

Yuhao Zhou, Yuxin Tian, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv

IEEE Trans. Neural Networks Learn. Syst., August, 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, Zhangyang Wang, Kai Wang

CoRR, June, 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, Yang You

CoRR, May, 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, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang

CoRR, May, 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, Zhangyang Wang, Jiheng Zhang, Tianlong Chen

CoRR, March, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.

Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning.

Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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, Yang You

CoRR, 2024

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang

CoRR, 2024

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.

Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You

CoRR, 2024

2023

DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks.

Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv

IEEE Trans. Emerg. Top. Comput. Intell., August, 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

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.

Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv

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, Jiancheng Lv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse.

Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.

Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Correction to: FLSGD: free local SGD with parallel synchronization.

Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv

J. Supercomput., 2022

FLSGD: free local SGD with parallel synchronization.

Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv

J. Supercomput., 2022

Personalized Federated Learning with Hidden Information on Personalized Prior.

Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv

CoRR, 2022

2020

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training.

Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv

CoRR, 2020