Zheshun Wu

According to our database, Zheshun Wu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

SparseDVFS: Sparse-Aware DVFS for Energy-Efficient Edge Inference.

Ziyang Zhang, Zheshun Wu, Jie Liu, Luca Mottola

CoRR, March, 2026

Online Optimization for Learning to Communicate Over Time-Correlated Channels.

Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu

IEEE Trans. Cogn. Commun. Netw., 2026

Enhancing progressive ensemble learning via normalized extra-Gradient initialization.

Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu

Neural Networks, 2026

2025

Not All Exceptions Are Created Equal: Triaging Error Logs in Real-World Enterprises.

Junlin Liu, Mengyu Yao, Shaofei Li, Dingyu Yang, Zheshun Wu, Xiaojun Qu, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen

ACM Trans. Softw. Eng. Methodol., November, 2025

Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients.

Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

2024

Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.

Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu

IEEE Trans. Veh. Technol., August, 2024

Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels.

Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu

IEEE Signal Process. Lett., 2024

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.

Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu

CoRR, 2024

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives.

Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen

CoRR, 2024

On the Necessity of Collaboration for Online Model Selection with Decentralized Data.

Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Joint Scheduling and Robust Aggregation for Federated Localization Over Unreliable Wireless D2D Networks.

Zheshun Wu, Xiaoping Wu, Yunliang Long

IEEE Trans. Netw. Serv. Manag., September, 2023

Federated Generalization via Information-Theoretic Distribution Diversification.

Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang

CoRR, 2023

Dynamic Graph Neural Networks-Based Alert Link Prediction for Online Service Systems.

Yiru Chen, Chenxi Zhang, Zhen Dong, Dingyu Yang, Xin Peng, Jiayu Ou, Hong Yang, Zheshun Wu, Xiaojun Qu, Wei Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Multi-Level Federated Graph Learning and Self-Attention Based Personalized Wi-Fi Indoor Fingerprint Localization.

Zheshun Wu, Xiaoping Wu, Yunliang Long

IEEE Commun. Lett., 2022

2021

A Privacy-Preserved Online Personalized Federated Learning Framework for Indoor Localization.

Zheshun Wu, Xiaoping Wu, Xiaoli Long, Yunliang Long

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.

Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021