Zhengyuan Zhu

Orcid: 0000-0002-2266-0646

According to our database1, Zhengyuan Zhu authored at least 29 papers between 2006 and 2024.

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Bibliography

2024
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering.
CoRR, 2024

Wireless Spectrum in Rural Farmlands: Status, Challenges and Opportunities.
CoRR, 2024

Wildfire: A Twitter Social Sensing Platform for Layperson.
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

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

Spatial heterogeneity automatic detection and estimation.
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

A Dashboard for Mitigating the COVID-19 Misinfodemic.
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

Regression-Enhanced Random Forests.
CoRR, 2019

Spatial CUSUM for Signal Region Detection.
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
Adaptive data center activation with user request prediction.
Comput. Networks, 2017

2016
Modeling nonstationary covariance function with convolution on sphere.
Comput. Stat. Data Anal., 2016

Requests Prediction in Cloud with a Cyclic Window Learning Algorithm.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015
Request Prediction in Cloud with a Cyclic Window Learning Algorithm.
CoRR, 2015

2009
Nonparametric spectral density estimation with missing observations.
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
Spatial scan statistics: approximations and performance study.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006


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