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2020 – today
- 2024
[c15]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- [c14]Zeyu Zhang
, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li:
Wildfire: A Twitter Social Sensing Platform for Layperson. WSDM 2024: 1106-1109 - [i12]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 abs/2407.04561 (2024) - [i11]Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li:
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering. CoRR abs/2408.08521 (2024) - 2023
- [j8]Xin Wang, Zhengyuan Zhu, Hao Helen Zhang:
Spatial heterogeneity automatic detection and estimation. Comput. Stat. Data Anal. 180: 107667 (2023) - [j7]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): 2559-2579 (2023) - [j6]Xin Wang, Xin Zhang, Zhengyuan Zhu:
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data. Technometrics 65(4): 514-523 (2023) - [c13]Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li:
Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. EMNLP 2023: 12506-12521 - 2022
- [c12]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: 71-80 - [i10]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 abs/2208.08490 (2022) - 2021
- [j5]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): 1742 (2021) - [c11]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: 99-105 - [c10]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley:
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach. INFOCOM 2021: 1-10 - [c9]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley:
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. MobiHoc 2021: 271-280 - [c8]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: 18825-18838 - [i9]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. CoRR abs/2105.01231 (2021) - 2020
- [c7]Xin Zhang, Jia Liu, Zhengyuan Zhu:
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC 2020: 3580-3585 - [c6]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM 2020: 317-326 - [c5]Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu:
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc 2020: 261-270 - [i8]Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu:
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR abs/2001.03836 (2020)
2010 – 2019
- 2019
- [c4]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM 2019: 2431-2439 - [i7]Xin Zhang, Zhengyuan Zhu:
Spatial CUSUM for Signal Region Detection. CoRR abs/1904.03246 (2019) - [i6]Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu:
Regression-Enhanced Random Forests. CoRR abs/1904.10416 (2019) - [i5]Xin Zhang, Jia Liu, Zhengyuan Zhu:
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR abs/1905.11549 (2019) - [i4]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR abs/1912.03208 (2019) - 2018
- [j4]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): 1083-1094 (2018) - [i3]Xin Zhang, Jia Liu, Zhengyuan Zhu:
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR abs/1805.09470 (2018) - [i2]Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR abs/1812.04048 (2018) - 2017
- [j3]Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu:
Adaptive data center activation with user request prediction. Comput. Networks 122: 191-204 (2017) - 2016
- [j2]Yang Li, Zhengyuan Zhu:
Modeling nonstationary covariance function with convolution on sphere. Comput. Stat. Data Anal. 104: 233-246 (2016) - [c3]Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu:
Requests Prediction in Cloud with a Cyclic Window Learning Algorithm. GLOBECOM Workshops 2016: 1-6 - 2015
- [i1]Min Sang Yoon, Ahmed E. Kamal, Zhengyuan Zhu:
Request Prediction in Cloud with a Cyclic Window Learning Algorithm. CoRR abs/1507.02372 (2015)
2000 – 2009
- 2009
- [c2]Thomas C. M. Lee, Zhengyuan Zhu:
Nonparametric spectral density estimation with missing observations. ICASSP 2009: 3041-3044 - 2007
- [j1]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): 2111-2124 (2007) - 2006
- [c1]Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu:
Spatial scan statistics: approximations and performance study. KDD 2006: 24-33
Coauthor Index
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