← All authors Zuofeng Shang New Jersey Institute of Technology (per OpenAlex) · ORCID · OpenAlex
44 papers in scope · 43 published · 1 on the econ.EM arXiv · 509 citations · h-index 14 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Timothy Christensen Ben Boukai Ruiqi Liu Szymon Sacher Laura Battaglia Stephen Hansen Jörg Stoye Christoph Breunig Xiaohong Chen Benoît Perron Sid Kankanala Victor Chernozhukov Andreas Tryphonides Hiroaki Kaido Haonan Ye Ziyu Jiang Sukjin Han Christopher D. Walker Toru Kitagawa Jens Ludwig 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 44)
New methods for testing community structures in general networks
published 2026 · Statistics and Computing
with Mingao Yuan, Sharmin Hossain
Variational Nonparametric Inference in Stochastic Block Models with Functional Covariates
published 2026 · Journal of the American Statistical Association
Scalable inference for nonparametric stochastic approximation in reproducing kernel Hilbert spaces
published 2026 · The Annals of Statistics
with Meimei Liu, Yun Yang
Scalable inference in functional linear regression with streaming data
published 2026 · The Annals of Statistics · 2 citations · first circulated 2023
Model-free Multivariate Change Point Detection and Localization with Statistical Guarantee
published 2025 · Statistica Sinica
with Xing Xin, Hongyu Miao, Pang Du
Matrix Autoregressive Model with Vector Time Series Covariates for Spatiotemporal Data
published 2025 · Statistica Sinica · 1 citations · first circulated 2023
with Hu Sun, Yang Chen
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model
published 2025 · Stat
with Zheng Zhang, Yang Feng
Information-theoretic limits for testing community structures in weighted networks
published 2025 · Electronic Journal of Statistics · 1 citations · first circulated 2022
with Mingao Yuan
Heterogeneous dense subhypergraph detection
published 2024 · Statistica Neerlandica · 3 citations · first circulated 2021
with Mingao Yuan
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
published 2024 · Journal of Statistical Planning and Inference · 4 citations · first circulated 2021
Distributed adaptive nearest neighbor classifier: algorithm and theory
published 2023 · Statistics and Computing · 1 citations · first circulated 2021
with Ruiqi Liu, Ganggang Xu
Deep neural network classifier for multidimensional functional data
published 2023 · Scandinavian Journal of Statistics · 16 citations
with Shuoyang Wang, Guanqun Cao
Minimax Nonparametric Multi-sample Test under Smoothing
published 2023 · Statistica Sinica · first circulated 2019
with Xing Xin, Pang Du, Ma Ping, Wenxuan Zhong, Jun S. Liu, Xin Xing, Ping Ma
Optimal Classification for Functional Data
published 2022 · Statistica Sinica · 8 citations · first circulated 2021
with Shuoyang Wang, Guanqun Cao, Jun S. Liu, Jun Liu
Sharp detection boundaries on testing dense subhypergraph
published 2022 · Bernoulli · 14 citations · first circulated 2021
with Mingao Yuan
Minimax optimal high‐dimensional classification using deep neural networks
published 2022 · Stat · 2 citations
with Shuoyang Wang
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression
published 2022 · Stat · 5 citations · first circulated 2021
with Xiaotian Dai, Guifang Fu, Randall Reese, Shaofei Zhao
Online statistical inference for parameters estimation with linear-equality constraints
published 2022 · Journal of Multivariate Analysis · 6 citations · first circulated 2021
with Ruiqi Liu, Mingao Yuan
Testing community structure for hypergraphs
published 2022 · The Annals of Statistics · 27 citations
A likelihood-ratio type test for stochastic block models with bounded degrees
published 2021 · Journal of Statistical Planning and Inference · 13 citations · first circulated 2018
Hypothesis testing in sparse weighted stochastic block model
published 2021 · Statistical Papers · 5 citations
with Mingao Yuan, Fan Yang
Optimal nonparametric inference via deep neural network
published 2021 · Journal of Mathematical Analysis and Applications · 13 citations · first circulated 2019
Information limits for detecting a subhypergraph
published 2021 · Stat · 7 citations
with Mingao Yuan
Estimation of the mean function of functional data via deep neural networks
published 2021 · Stat · 22 citations · first circulated 2020
with Shuoyang Wang, Guanqun Cao
Non-asymptotic Analysis for Nonparametric Testing
published 2020 · Conference on Learning Theory · 3 citations
no link
Nonparametric distributed learning under general designs
published 2020 · Electronic Journal of Statistics · 6 citations
working paper 2019 · arXiv
Identification and estimation in panel models with overspecified number of groups
published 2019 · Journal of Econometrics · 37 citations · first circulated 2018
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method
published 2019 · Journal of Business and Economic Statistics · 8 citations · first circulated 2017
with Shunan Zhao, Ruiqi Liu
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection
published 2019 · Conference on Learning Theory · 9 citations · first circulated 2018
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
Variance Change Point Detection Under a Smoothly-Changing Mean Trend with Application to Liver Procurement
published 2018 · Journal of the American Statistical Association · 31 citations
with Zhenguo Gao, Pang Du, John L. Robertson
An MM algorithm for estimation of a two component semiparametric density mixture with a known component
published 2018 · Electronic Journal of Statistics · 4 citations
with Zhou Shen, Michael Levine
Gaussian approximation of general non-parametric posterior distributions
published 2017 · Information and Inference A Journal of the IMA · 2 citations
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
Bayesian high-dimensional screening via MCMC
published 2014 · Journal of Statistical Planning and Inference · 4 citations · first circulated 2013
with Ping Li
High-dimensional Bayesian inference in nonparametric additive models
published 2014 · Electronic Journal of Statistics · 3 citations · first circulated 2013
with Ping Li
Sparse and efficient estimation for partial spline models with increasing dimension
published 2013 · Annals of the Institute of Statistical Mathematics · 15 citations
Local and global asymptotic inference in smoothing spline models
published 2013 · The Annals of Statistics · 62 citations
On latent process models in multi-dimensional space
published 2012 · Statistics & Probability Letters
Consistency of Bayesian linear model selection with a growing number of parameters
published 2011 · Journal of Statistical Planning and Inference · 29 citations
with Murray K. Clayton
Convergence rate and Bahadur type representation of general smoothing spline M-estimates
published 2010 · Electronic Journal of Statistics · 14 citations
New aspects of Bregman divergence in regression and classification with parametric and nonparametric estimation
published 2009 · Canadian Journal of Statistics · 24 citations
with Chunming Zhang, Yuan Jiang
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