Spatial scan statistics: approximations and performance study. - Deepak Agarwal; Andrew McGregor 001; Jeff M. Phillips; Suresh Venkatasubramanian; Zhengyuan Zhu (KDD, 2006)

Robust estimation of the self-similarity parameter in network traffic using wavelet transform. - Haipeng Shen; Zhengyuan Zhu; Thomas C. M. Lee (Signal Process., 2007)

Nonparametric spectral density estimation with missing observations. - Thomas C. M. Lee; Zhengyuan Zhu (ICASSP, 2009)

Request Prediction in Cloud with a Cyclic Window Learning Algorithm. - Min Sang Yoon; Ahmed E. Kamal 001; Zhengyuan Zhu (CoRR, 2015)

Requests Prediction in Cloud with a Cyclic Window Learning Algorithm. - Min Sang Yoon; Ahmed E. Kamal 001; Zhengyuan Zhu (GLOBECOM Workshops, 2016)

Modeling nonstationary covariance function with convolution on sphere. - Yang Li 166; Zhengyuan Zhu (Comput. Stat. Data Anal., 2016)

Adaptive data center activation with user request prediction. - Min Sang Yoon; Ahmed E. Kamal 001; Zhengyuan Zhu (Comput. Networks, 2017)

A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach. - Xin Wang 042; Vivekananda Roy; Zhengyuan Zhu (Stat. Comput., 2018)

Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth S. Bentley (INFOCOM, 2019)

Spatial CUSUM for Signal Region Detection. - Xin Zhang 054; Zhengyuan Zhu (CoRR, 2019)

Regression-Enhanced Random Forests. - Haozhe Zhang; Dan Nettleton; Zhengyuan Zhu (CoRR, 2019)

Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu (CoRR, 2019)

Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu (CDC, 2020)

Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth S. Bentley (INFOCOM, 2020)

Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. - Xin Zhang 054; Minghong Fang; Jia Liu 002; Zhengyuan Zhu (MobiHoc, 2020)

A Dashboard for Mitigating the COVID-19 Misinfodemic. - Zhengyuan Zhu; Kevin Meng; Josue Caraballo; Israa Jaradat; Xiao Shi; Zeyu Zhang; Farahnaz Akrami; Haojin Liao; Fatma Arslan; Damian Jimenez; Mohammed Samiul Saeef; Paras Pathak; et al. (EACL (System Demonstrations), 2021)

Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth Serena Bentley (INFOCOM, 2021)

GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. - Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Elizabeth Serena Bentley (MobiHoc, 2021)

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. - Xin Zhang 054; Zhuqing Liu; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (NeurIPS, 2021)

A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery. - Charles J. Labuzzetta; Zhengyuan Zhu; Xinyue Chang; Yuyu Zhou (Remote. Sens., 2021)

NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. - Xin Zhang 054; Minghong Fang; Zhuqing Liu; Haibo Yang 001; Jia Liu 002; Zhengyuan Zhu (MobiHoc, 2022)

Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. - Xiao Shi; Zhengyuan Zhu; Zeyu Zhang; Chengkai Li 001 (EMNLP, 2023)

Spatial heterogeneity automatic detection and estimation. - Xin Wang 042; Zhengyuan Zhu; Hao Helen Zhang (Comput. Stat. Data Anal., 2023)

Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. - Xin Wang 042; Xin Zhang 054; Zhengyuan Zhu (Technometrics, 2023)

Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development - Study Based on Spatial Stochastic Frontier Model. - Aihua Han; Jian Huang; Xin Wang; Zhengyuan Zhu (J. Syst. Sci. Complex., 2023)

Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness. - Zeyu Zhang; Zhengyuan Zhu; Haiqi Zhang; Chengkai Li 001 (ASONAM (1), 2024)

PILOT: An $ mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. - Zhuqing Liu; Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (ICLR, 2024)

Wildfire: A Twitter Social Sensing Platform for Layperson. - Zeyu Zhang; Zhengyuan Zhu; Haiqi Zhang; Foram Patel; Josue Caraballo; Patrick Hennecke; Chengkai Li 001 (WSDM, 2024)

Wireless Spectrum in Rural Farmlands: Status, Challenges and Opportunities. - Mukaram Shahid; Kunal Das; Taimoor Ul Islam; Christ Somiah; Daji Qiao; Arsalan Ahmad; Jimming Song; Zhengyuan Zhu; Sarath Babu 001; Yong Guan; Tusher Chakraborty; Suraj Jog; et al. (CoRR, 2024)

LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media. - Haiqi Zhang; Zhengyuan Zhu; Zeyu Zhang; Chengkai Li 001 (ACL (Findings), 2025)

MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. - Zhengyuan Zhu; Daniel Lee; Hong Zhang; Sai Sree Harsha; Loic Feujio; Akash Maharaj; Yunyao Li 001 (COLING (Demonstrations), 2025)

ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping. - Mukaram Shahid; Kunal Das; Hadia Ushaq; Hongwei Zhang 001; Jiming Song; Daji Qiao; Sarath Babu 001; Yong Guan; Zhengyuan Zhu; Arsalan Ahmad (DySPAN, 2025)

RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims. - Zhengyuan Zhu; Zeyu Zhang; Haiqi Zhang; Chengkai Li 001 (NAACL (Findings), 2025)

TrustMap: Mapping Truthfulness Stance of Social Media Posts on Factual Claims for Geographical Analysis. - Zhengyuan Zhu; Haiqi Zhang; Zeyu Zhang; Chengkai Li 001 (CoRR, 2025)

A Knowledge Graph Informing Soil Carbon Modeling. - Nasim Shirvani-Mahdavi; Devin Wingfield; Juan Guajardo Gutierrez; Mai Tran; Zhengyuan Zhu; Zeyu Zhang; Haiqi Zhang; Abhishek Divakar Goudar; Chengkai Li 001; Virginia L. Jin; Timothy Propst; Dan Roberts; et al. (CoRR, 2025)