HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring. - Yuhao Zhou 004; Qing Ye; Hailun Zhang; Jiancheng Lv 001 (ICONIP (2), 2020)

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. - Qing Ye; Yuhao Zhou 004; Mingjia Shi; Yanan Sun 001; Jiancheng Lv 001 (CoRR, 2020)

HLSGD Hierarchical Local SGD With Stale Gradients Featuring. - Yuhao Zhou 004; Qing Ye; Hailun Zhang; Jiancheng Lv 001 (CoRR, 2020)

LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. - Yuhao Zhou 004; Xihua Li 002; Yunbo Cao; Xuemin Zhao; Qing Ye; Jiancheng Lv 001 (EDM, 2021)

DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg. - Yuhao Zhou 004; Minjia Shi; Yuxin Tian; Qing Ye; Jiancheng Lv 001 (CoRR, 2022)

Personalized Federated Learning with Hidden Information on Personalized Prior. - Mingjia Shi; Yuhao Zhou 004; Qing Ye; Jiancheng Lv 001 (CoRR, 2022)

FLSGD: free local SGD with parallel synchronization. - Qing Ye; Yuhao Zhou 004; Mingjia Shi; Jiancheng Lv 001 (J. Supercomput., 2022)

Correction to: FLSGD: free local SGD with parallel synchronization. - Qing Ye; Yuhao Zhou 004; Mingjia Shi; Jiancheng Lv 001 (J. Supercomput., 2022)

Communication-Efficient Federated Learning With Compensated Overlap-FedAvg. - Yuhao Zhou 004; Qing Ye; Jiancheng Lv 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. - Yuhao Zhou 004; 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 004; Qing Ye; Jiancheng Lv 001 (ICONIP (8), 2023)

Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search. - Dan Si; Qing Ye; Jindi Lv; Yuhao Zhou 004; Jiancheng Lv 001 (ICONIP (14), 2023)

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. - Mingjia Shi; Yuhao Zhou 004; 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 004; Mingjia Shi; Qing Ye; Yanan Sun 001; Jiancheng Lv 001 (CoRR, 2023)

DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. - Qing Ye; Yuhao Zhou 004; Mingjia Shi; Yanan Sun 001; Jiancheng Lv 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Federated CINN Clustering for Accurate Clustered Federated Learning. - Yuhao Zhou 004; Minjia Shi; Yuxin Tian; Yuanxi Li; Qing Ye; Jiancheng Lv 001 (ICASSP, 2024)

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels. - Yuxin Tian; Mouxing Yang; Yuhao Zhou 004; Jian Wang 124; Qing Ye; Tongliang Liu; Gang Niu 001; Jiancheng Lv 001 (CoRR, 2024)

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training. - Mingjia Shi; Yuhao Zhou 004; 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)

DeFTA: A plug-and-play peer-to-peer decentralized federated learning framework. - Yuhao Zhou 004; Minjia Shi; Yuxin Tian; Qing Ye; Jiancheng Lv 001 (Inf. Sci., 2024)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. - Yuhao Zhou 004; 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 004; Zezhen Ding; Pingzhi Li; Tong Wang; Kai Wang 036; Zhangyang Wang; Jiheng Zhang; Tianlong Chen 001 (CoRR, 2025)

GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning. - Mingchuan Ma; Yuhao Zhou 004; Jindi Lv; Yuxin Tian; Dan Si; Shujian Li; Qing Ye; Jiancheng Lv 001 (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou 004; 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 004; 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 004; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You 001; et al. (CoRR, 2025)

EA-ViT: Efficient Adaptation for Elastic Vision Transformer. - Chen Zhu; Wangbo Zhao; Huiwen Zhang; Samir Khaki; Yuhao Zhou 004; Weidong Tang; Shuo Wang 001; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Kai Wang 036; Dawei Yang (CoRR, 2025)

Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach. - Yuhao Zhou 004; Jindi Lv; Yuxin Tian; Dan Si; Qing Ye; Jiancheng Lv 001 (CoRR, 2025)

E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing. - Yuhao Zhou 004; Yuxin Tian; Mingjia Shi; Yuanxi Li; Yanan Sun 001; Qing Ye; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork. - Jindi Lv; Yuhao Zhou 004; Yuxin Tian; Qing Ye; Wentao Feng; Jiancheng Lv 001 (CoRR, 2025)