Zehan Zhu

According to our database, Zehan Zhu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

POLAR-Net: Physics-guided offset-free linear alignment and reconstruction for low-light object detection.

Zehan Zhu, Xuemei Xu

Expert Syst. Appl., 2026

A multi-stage path aggregation module for small object detection on drone-captured scenarios.

Wenyuan Fan, Xuemei Xu, Zhaohui Jiang, Zehan Zhu

Digit. Signal Process., 2026

2025

DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication.

Zehan Zhu, Heng Zhao, Yan Huang, Joey Tianyi Zhou, Shouling Ji, Jinming Xu

CoRR, December, 2025

Bandwidth-Aware Network Topology Optimization for Decentralized Learning.

Yipeng Shen, Zehan Zhu, Yan Huang, Changzhi Yan, Cheng Zhuo, Jinming Xu

CoRR, December, 2025

Dyn-D²P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee.

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

CoRR, May, 2025

Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee.

Zehan Zhu, Yan Huang, Xin Wang, Shouling Ji, Jinming Xu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology.

Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He

IEEE Trans. Signal Inf. Process. over Networks, 2024

PerfTop: Towards performance prediction of distributed learning over general topology.

Changzhi Yan, Zehan Zhu, Youcheng Niu, Cong Wang, Cheng Zhuo, Jinming Xu

J. Parallel Distributed Comput., 2024

PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds.

Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture.

Zehan Zhu, Ye Tian, Yan Huang, Jinming Xu, Shibo He

CoRR, 2023

Asynchronous Byzantine-Robust Stochastic Aggregation with Variance Reduction for Distributed Learning.

Zehan Zhu, Yan Huang, Chengcheng Zhao, Jinming Xu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology.

Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu

Proceedings of the International Conference on Machine Learning, 2022