← All authors Guang Cheng University of California, Los Angeles (from arXiv:2303.07287, 2023) · ORCID · OpenAlex
64 papers in scope · 63 published · 1 on the econ.EM arXiv · 1,743 citations · h-index 21 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Haoyu Wei Huiming Zhang Pengjie Zhou Runzhe Wan Lei Shi Rui Song Joël L. Horowitz Zhengling Qi Sokbae Lee Sarina Joy Oberhänsli Martin Huber Anthony Strittmatter Yihong Xu Zheng Li Pedro H. C. Sant’Anna Annabelle Doerr Brantly Callaway Paul S. Koh Jeffrey D. Michler Anna Josephson Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 64)
Rate-Optimal Rank Aggregation with Private Pairwise Rankings
published 2025 · Journal of the American Statistical Association · 1 citations · first circulated 2024
IEA-DMS: An Interpretable feature-driven, Efficient and Accurate Detection Method for Slow HTTP DoS in high-speed networks
published 2024 · Computers & Security · 2 citations
with J. Chen, Hua Wu, Xiaohui Wang, Suyue Wang, Xiaoyan Hu
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
published 2024 · Annual Review of Statistics and Its Application · 9 citations
with Namjoon Suh
Predicting the Productivity of China’s Building Sector and the Elements that Affect it Using the DEA-Tobit Framework
published 2024 · Journal of Digital Information Management
Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing
published 2023 · Journal of the American Statistical Association · 9 citations · first circulated 2020
Towards verifiable and privacy-preserving account model on a consortium blockchain based on zk-SNARKs
published 2023 · Peer-to-Peer Networking and Applications · 4 citations
with Xiaoyan Hu, Weicheng Zhou, Jun Yin, Shen Yan, Hua Wu
Optimal false discovery control of minimax estimators
published 2023 · Bernoulli · 3 citations · first circulated 2018
with Qifan Song
Sparse confidence sets for normal mean models
published 2023 · Information and Inference A Journal of the IMA · 2 citations · first circulated 2020
working paper 2023 · arXiv · 1 citations
Variance reduction on general adaptive stochastic mirror descent
published 2022 · Machine Learning · 2 citations · first circulated 2020
Efficient sharing of privacy-preserving sensing data on consortium blockchain via group key agreement
published 2022 · Computer Communications · 10 citations
with Xiaoyan Hu, Xiaoyi Song, Hua Wu, Jian Gong
Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning
published 2022 · Journal of the American Statistical Association · 21 citations · first circulated 2021
Discussion on ‘A review of distributed statistical inference’
published 2022 · Statistical Theory and Related Fields
with Yang Yu
On the Algorithmic Stability of Adversarial Training
published 2021 · Neural Information Processing Systems · 12 citations
with Yue Xing, Qifan Song
no link
BCDnet: Parallel heterogeneous eight-class classification model of breast pathology
published 2021 · PLoS ONE · 11 citations
with Qingfang He, Huimin Ju
High‐dimensional robust inference for Cox regression models using desparsified Lasso
published 2021 · Scandinavian Journal of Statistics · 6 citations · first circulated 2018
with Shengchun Kong, Zhuqing Yu, Xianyang Zhang
Machine learning in/for blockchain: Future and challenges
published 2021 · Canadian Journal of Statistics · 53 citations · first circulated 2019
with Fang Chen, Hong Wan, Hua Cai
Online Forgetting Process for Linear Regression Models
published 2021 · International Conference on Artificial Intelligence and Statistics · first circulated 2020
with Yuantong Li, Chi-Hua Wang
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
published 2021 · Journal of the American Statistical Association · 4 citations · first circulated 2018
with Xiao Guo
Finite-time analysis of vector autoregressive models under linear restrictions
published 2020 · Biometrika · 13 citations · first circulated 2018
with Yao Zheng
Non-asymptotic Analysis for Nonparametric Testing
published 2020 · Conference on Learning Theory · 3 citations
no link
Simultaneous Inference for Massive Data: Distributed Bootstrap
published 2020 · International Conference on Machine Learning · 8 citations
with Yang Yu, Shih-Kang Chao
Mutual Transfer Learning for Massive Data
published 2020 · International Conference on Machine Learning
with Ching-Wei Cheng, Xingye Qiao
no link
Sparse and Low-Rank Tensor Estimation via Cubic Sketchings
published 2020 · IEEE Transactions on Information Theory · 9 citations
with Botao Hao, Anru R. Zhang
Online Batch Decision-Making with High-Dimensional Covariates
published 2020 · International Conference on Artificial Intelligence and Statistics · 2 citations
with Chi-Hua Wang
Nonparametric distributed learning under general designs
published 2020 · Electronic Journal of Statistics · 6 citations
Directional Pruning of Deep Neural Networks
published 2020 · Neural Information Processing Systems · 15 citations
with Shih-Kang Chao, Zhanyu Wang, Yue Xing
no link
Statistical Guarantees of Distributed Nearest Neighbor Classification
published 2020 · Neural Information Processing Systems · 1 citations · first circulated 2018
with Jiexin Duan, Xingye Qiao
Bayesian Fusion Estimation via t Shrinkage
published 2019 · Sankhya A · 11 citations · first circulated 2018
with Qifan Song
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection
published 2019 · Conference on Learning Theory · 9 citations · first circulated 2018
Tensor Graphical Model: Non-Convex Optimization and Statistical Inference
published 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 33 citations · first circulated 2016
Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and Its Asymptotic Optimality
published 2019 · Journal of Computational and Graphical Statistics · 21 citations · first circulated 2016
Minimax optimal estimation in partially linear additive models under high dimension
published 2019 · Bernoulli · 4 citations · first circulated 2016
with Zhuqing Yu, Michael Levine
Distributed inference for quantile regression processes
published 2019 · The Annals of Statistics · 147 citations · first circulated 2017
Gaussian approximation for high dimensional vector under physical dependence
published 2018 · Bernoulli · 55 citations
with Xianyang Zhang
Early Stopping for Nonparametric Testing
published 2018 · Neural Information Processing Systems · 3 citations
with Meimei Liu
Discussion on “Double sparsity kernel learning with automatic variable selection and data extraction”
published 2018 · Statistics and Its Interface
with Meimei Liu
Gaussian approximation of general non-parametric posterior distributions
published 2017 · Information and Inference A Journal of the IMA · 2 citations
Stability Enhanced Large-Margin Classifier Selection
published 2017 · Statistica Sinica · 2 citations
Quantile processes for semi and nonparametric regression
published 2017 · Electronic Journal of Statistics · 25 citations · first circulated 2016
Provable sparse tensor decomposition Series B Statistical methodology
published 2017 · Journal of the Royal Statistical Society Series A (Statistics in Society)
no link
Embracing the Blessing of Dimensionality in Factor Models
published 2016 · Journal of the American Statistical Association · 43 citations
A partially linear framework for massive heterogeneous data
published 2016 · The Annals of Statistics · 134 citations · first circulated 2014
with Tianqi Zhao, Han Liu
Provable Sparse Tensor Decomposition
published 2016 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 124 citations · first circulated 2015
Simultaneous Inference for High-Dimensional Linear Models
published 2016 · Journal of the American Statistical Association · 150 citations
Stabilized Nearest Neighbor Classifier and its Statistical Properties
published 2015 · Journal of the American Statistical Association · 17 citations · first circulated 2014
Active Clinical Trials for Personalized Medicine
published 2015 · Journal of the American Statistical Association · 12 citations · first circulated 2014
with Stanislav Minsker, Ying-Qi Zhao
Nonparametric inference in generalized functional linear models
published 2015 · The Annals of Statistics · 59 citations
Joint asymptotics for semi-nonparametric regression models with partially linear structure
published 2015 · The Annals of Statistics · 28 citations
Moment Consistency of the Exchangeably Weighted Bootstrap for Semiparametric M‐estimation
published 2014 · Scandinavian Journal of Statistics · 34 citations · first circulated 2011
Sparse and efficient estimation for partial spline models with increasing dimension
published 2013 · Annals of the Institute of Statistical Mathematics · 15 citations
Efficient estimation of semiparametric copula models for bivariate survival data
published 2013 · Journal of Multivariate Analysis · 10 citations
Local and global asymptotic inference in smoothing spline models
published 2013 · The Annals of Statistics · 62 citations
How Many Iterations are Sufficient for Efficient Semiparametric Estimation?
published 2013 · Scandinavian Journal of Statistics · 6 citations · first circulated 2010
The cluster bootstrap consistency in generalized estimating equations
published 2012 · Journal of Multivariate Analysis · 63 citations
with Zhuqing Yu, Jianhua Z. Huang
Empirical likelihood inferences for the semiparametric additive isotonic regression
published 2012 · Journal of Multivariate Analysis · 11 citations
with Yichuan Zhao, Bo Li
Semiparametric regression models with additive nonparametric components and high dimensional parametric components
published 2011 · Computational Statistics & Data Analysis · 29 citations
with Pang Du, Hua Liang
Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models
published 2011 · Journal of the American Statistical Association · 174 citations
with Hao Helen Zhang, Yufeng Liu
Semiparametric additive transformation model under current status data
published 2011 · Electronic Journal of Statistics · 32 citations
with Xiao Wang
Bootstrap consistency for general semiparametric M-estimation
published 2010 · The Annals of Statistics · 137 citations
with Jianhua Z. Huang
Semiparametric additive isotonic regression
published 2008 · Journal of Statistical Planning and Inference · 37 citations
General frequentist properties of the posterior profile distribution
published 2008 · The Annals of Statistics · 24 citations
with Michael R. Kosorok
Higher order semiparametric frequentist inference with the profile sampler
published 2008 · The Annals of Statistics · 11 citations
with Michael R. Kosorok
The penalized profile sampler
published 2008 · Journal of Multivariate Analysis · 12 citations · first circulated 2007
with Michael R. Kosorok
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