Zhengyuan Zhu
Orcid: 0000-0002-2266-0646
According to our database1,
Zhengyuan Zhu
authored at least 35 papers
between 2006 and 2025.
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Bibliography
2025
TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis.
CoRR, April, 2025
RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2025
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 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