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Wu, Zheshun
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1

Information-Theoretic Generalization Analysis for Topology-..:

Wu, Zheshun ; Xu, Zenglin ; Yu, Hongfang.
IEEE Signal Processing Letters.  31 (2024)  - p. 691-695 , 2024
Link: https://doi.org/10.1109/..
 
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2

Topology Learning for Heterogeneous Decentralized Federated..:

Wu, Zheshun ; Xu, Zenglin ; Zeng, Dun..
IEEE Transactions on Vehicular Technology.  , 2024
Link: https://doi.org/10.1109/..
 
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3

Dynamic Graph Neural Networks-Based Alert Link Prediction f..:

, In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE),
Chen, Yiru ; Zhang, Chenxi ; Dong, Zhen... - p. 79-90 , 2023
Link: https://doi.org/10.1109/..
 
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4

Joint Scheduling and Robust Aggregation for Federated Local..:

Wu, Zheshun ; Wu, Xiaoping ; Long, Yunliang
IEEE Transactions on Network and Service Management.  20 (2023)  3 - p. 3359-3379 , 2023
Link: https://doi.org/10.1109/..
 
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5

Multi-Level Federated Graph Learning and Self-Attention Bas..:

Wu, Zheshun ; Wu, Xiaoping ; Long, Yunliang
IEEE Communications Letters.  26 (2022)  8 - p. 1794-1798 , 2022
Link: https://doi.org/10.1109/..
 
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6

MicroHECL : high-efficient root cause localization in la..:

, In: Proceedings of the 43rd International Conference on Software Engineering: Software Engineering in Practice,
Liu, Dewei ; He, Chuan ; Peng, Xin... - p. 338-347 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Topology Learning for Heterogeneous Decentralized Federated..:

Wu, Zheshun ; Xu, Zenglin ; Zeng, Dun..
http://arxiv.org/abs/2312.13611.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

Information-Theoretic Generalization Analysis for Topology-..:

Wu, Zheshun ; Xu, Zenglin ; Yu, Hongfang.
http://arxiv.org/abs/2310.16407.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

Federated Generalization via Information-Theoretic Distribu..:

Wu, Zheshun ; Xu, Zenglin ; Zeng, Dun.
http://arxiv.org/abs/2310.07171.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

MicroHECL: High-Efficient Root Cause Localization in Large-..:

Liu, Dewei ; He, Chuan ; Peng, Xin...
http://arxiv.org/abs/2103.01782.  , 2021
Link: http://arxiv.org/abs/210..
 
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