| 2025 | ACL | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | IJCNN | Towards Frame Rate Insensitive Video Object Segmentation. | Weitu Chong, Kaer Huang, Mingjia Shi, Jian Li, Hui Yang, Dan Zhang |
| 2025 | IJCNN | FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning. | Haixin Gao, Mingjia Shi, Yuhao Zhou, Deng Xiong, Qing Ye, Jiancheng Lv |
| 2023 | ICCV | 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 |
| 2023 | ICONIP | Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. | Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv |