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2020 – today
- 2025
[j4]Yuhao Zhou
, Yuxin Tian, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv:
E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14922-14936 (2025)- [c8]Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang:
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. ACL (Findings) 2025: 22971-22988 - [c7]Yuhao Zhou, Yuxin Tian, Jindi Lv, Mingjia Shi, Yuanxi Li, Qing Ye, Shuhao Zhang, Jiancheng Lv:
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. CVPR 2025: 4850-4861 - [c6]Kai Wang, Mingjia Shi, Yukun Zhou, Zekai Li, 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. CVPR 2025: 12934-12944 - [c5]Weitu Chong, Kaer Huang, Mingjia Shi, Jian Li, Hui Yang, Dan Zhang:
Towards Frame Rate Insensitive Video Object Segmentation. IJCNN 2025: 1-8 - [c4]Haixin Gao, Mingjia Shi, Yuhao Zhou, Deng Xiong, Qing Ye, Jiancheng Lv:
FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning. IJCNN 2025: 1-8 - [i15]Yuhao Zhou, Yuxin Tian, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv:
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing. CoRR abs/2502.03092 (2025) - [i14]Sifan Zhou, Shuo Wang, Zhihang Yuan, Mingjia Shi, Yuzhang Shang, Dawei Yang:
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. CoRR abs/2502.12913 (2025) - [i13]Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen:
Make Optimization Once and for All with Fine-grained Guidance. CoRR abs/2503.11462 (2025) - [i12]Yuhao Zhou, Yuxin Tian, Jindi Lv, Mingjia Shi, Yuanxi Li, Qing Ye, Shuhao Zhang, Jiancheng Lv:
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. CoRR abs/2503.12053 (2025) - [i11]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:
DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR abs/2505.13300 (2025) - [i10]Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You:
REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. CoRR abs/2505.16792 (2025) - [i9]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:
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR abs/2506.16406 (2025) - [i8]Tianyu Fu, Anyang Su, Chenxu Zhao, Hanning Wang, Minghui Wu, Zhe Yu, Fei Hu, Mingjia Shi, Wei Dong, Jiayao Wang, Yuyang Chen, Ruiyang Yu, Siran Peng, Menglin Li, Nan Huang, Haitian Wei, Jiawei Yu, Yi Xin, Xilin Zhao, Kai Gu, Ping Jiang, Sifan Zhou, Shuo Wang:
Mano Report. CoRR abs/2509.17336 (2025) - 2024
- [i7]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 abs/2405.17403 (2024) - [i6]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 abs/2407.16139 (2024) - [i5]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:
Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training. CoRR abs/2412.12496 (2024) - 2023
- [j3]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): 1217-1227 (2023) - [c3]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: 5008-5017 - [c2]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: 449-464 - [c1]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 - [i4]Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. CoRR abs/2302.13562 (2023) - [i3]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 abs/2310.09183 (2023) - 2022
- [j2]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12410-12433 (2022) - [j1]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
Correction to: FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12434 (2022) - [i2]Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Personalized Federated Learning with Hidden Information on Personalized Prior. CoRR abs/2211.10684 (2022) - 2020
- [i1]Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. CoRR abs/2007.11831 (2020)
Coauthor Index
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