Zheshun Wu

21 papers A* 2B 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing progressive ensemble learning via normalized extra-Gradient initialization.
Neural Networks
Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu
2026 J jnl
Online Optimization for Learning to Communicate Over Time-Correlated Channels.
IEEE Trans. Cogn. Commun. Netw.
Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu
2026 J jnl
SparseDVFS: Sparse-Aware DVFS for Energy-Efficient Edge Inference.
CoRR
Ziyang Zhang, Zheshun Wu, Jie Liu, Luca Mottola
2025 J jnl
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients.
IEEE Trans. Neural Networks Learn. Syst.
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu
2025 J jnl
Not All Exceptions Are Created Equal: Triaging Error Logs in Real-World Enterprises.
ACM Trans. Softw. Eng. Methodol.
Junlin Liu, Mengyu Yao, Shaofei Li, Dingyu Yang, Zheshun Wu, Xiaojun Qu, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen
2024 J jnl
Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels.
IEEE Signal Process. Lett.
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
2024 J jnl
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives.
CoRR
Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen
2024 A* conf
On the Necessity of Collaboration for Online Model Selection with Decentralized Data.
NeurIPS
Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King
2024 J jnl
On the Necessity of Collaboration in Online Model Selection with Decentralized Data.
CoRR
Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King
2024 J jnl
Online Optimization for Learning to Communicate over Time-Correlated Channels.
CoRR
Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu
2024 J jnl
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.
IEEE Trans. Veh. Technol.
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2024 J jnl
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.
CoRR
Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
2023 A* conf
Dynamic Graph Neural Networks-Based Alert Link Prediction for Online Service Systems.
ASE
Yiru Chen, Chenxi Zhang, Zhen Dong, Dingyu Yang, Xin Peng, Jiayu Ou, Hong Yang, Zheshun Wu, Xiaojun Qu, Wei Li
2023 J jnl
Federated Generalization via Information-Theoretic Distribution Diversification.
CoRR
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
2023 J jnl
Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels.
CoRR
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
2023 J jnl
Joint Scheduling and Robust Aggregation for Federated Localization Over Unreliable Wireless D2D Networks.
IEEE Trans. Netw. Serv. Manag.
Zheshun Wu, Xiaoping Wu, Yunliang Long
2023 J jnl
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks.
CoRR
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2022 J jnl
Multi-Level Federated Graph Learning and Self-Attention Based Personalized Wi-Fi Indoor Fingerprint Localization.
IEEE Commun. Lett.
Zheshun Wu, Xiaoping Wu, Yunliang Long
2021 B conf
A Privacy-Preserved Online Personalized Federated Learning Framework for Indoor Localization.
SMC
Zheshun Wu, Xiaoping Wu, Xiaoli Long, Yunliang Long
2021 — conf
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
ICSE (SEIP)
Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu
2021 J jnl
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
CoRR
Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu