Zhengyuan Zhu
Orcid: 0009-0002-8492-0551
According to our database1,
Zhengyuan Zhu
authored at least 26 papers
between 2006 and 2024.
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Bibliography
2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development - Study Based on Spatial Stochastic Frontier Model.
J. Syst. Sci. Complex., December, 2023
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data.
Technometrics, October, 2023
Comput. Stat. Data Anal., April, 2023
Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
2021
A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery.
Remote. Sens., 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
2020
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach.
CoRR, 2019
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
2018
A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach.
Stat. Comput., 2018
2017
2016
Comput. Stat. Data Anal., 2016
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2007
Robust estimation of the self-similarity parameter in network traffic using wavelet transform.
Signal Process., 2007
2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006