Mingjia Shi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Laplace Transform

Top Venues

J. Supercomput.

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. CoRR (2024)
Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR (2024)
Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. CoRR (2023)
Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. CoRR (2023)
Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. ICCV (2023)
Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS (2023)
Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. ICONIP (8) (2023)
Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv
Correction to: FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78 (10) (2022)
Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv
FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78 (10) (2022)
Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv
Personalized Federated Learning with Hidden Information on Personalized Prior. CoRR (2022)
Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. CoRR (2020)