Zhengyuan Zhu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 30

Top Topics

Region Detection

Heterogeneous Data

Regression Model

Policy Evaluation

Top Venues

Comput. Stat. Data Anal.

Publications

Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li
Wildfire: A Twitter Social Sensing Platform for Layperson. WSDM (2024)
Mukaram Shahid, Kunal Das, Taimoor Ul Islam, Christ Somiah, Daji Qiao, Arsalan Ahmad, Jimming Song, Zhengyuan Zhu, Sarath Babu, Yong Guan, Tusher Chakraborty, Suraj Jog, Ranveer Chandra, Hongwei Zhang
Wireless Spectrum in Rural Farmlands: Status, Challenges and Opportunities. CoRR (2024)
Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR (2024)
Xin Wang, Xin Zhang, Zhengyuan Zhu
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. Technometrics 65 (4) (2023)
Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li
Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. EMNLP (2023)
Xin Wang, Zhengyuan Zhu, Hao Helen Zhang
Spatial heterogeneity automatic detection and estimation. Comput. Stat. Data Anal. 180 (2023)
Aihua Han, Jian Huang, Xin Wang, Zhengyuan Zhu
Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development - Study Based on Spatial Stochastic Frontier Model. J. Syst. Sci. Complex. 36 (6) (2023)
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc (2022)
Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR (2022)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM (2021)
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, Chengkai Li
A Dashboard for Mitigating the COVID-19 Misinfodemic. EACL (System Demonstrations) (2021)
Charles J. Labuzzetta, Zhengyuan Zhu, Xinyue Chang, Yuyu Zhou
A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery. Remote. Sens. 13 (9) (2021)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. MobiHoc (2021)
Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS (2021)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. CoRR (2021)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM (2019)
Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu
Regression-Enhanced Random Forests. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR (2019)
Xin Zhang, Zhengyuan Zhu
Spatial CUSUM for Signal Region Detection. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR (2018)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR (2018)
Xin Wang, Vivekananda Roy, Zhengyuan Zhu
A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach. Stat. Comput. 28 (5) (2018)
Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
Adaptive data center activation with user request prediction. Comput. Networks 122 (2017)
Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
Requests Prediction in Cloud with a Cyclic Window Learning Algorithm. GLOBECOM Workshops (2016)
Yang Li, Zhengyuan Zhu
Modeling nonstationary covariance function with convolution on sphere. Comput. Stat. Data Anal. 104 (2016)
Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu
Request Prediction in Cloud with a Cyclic Window Learning Algorithm. CoRR (2015)
Thomas C. M. Lee, Zhengyuan Zhu
Nonparametric spectral density estimation with missing observations. ICASSP (2009)
Haipeng Shen, Zhengyuan Zhu, Thomas C. M. Lee
Robust estimation of the self-similarity parameter in network traffic using wavelet transform. Signal Process. 87 (9) (2007)
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
Spatial scan statistics: approximations and performance study. KDD (2006)