← All authors Linglong Kong University of Alberta (from arXiv:2408.05342, 2024) · ORCID · OpenAlex
60 papers in scope · 59 published · 1 on the econ.EM arXiv · 580 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.
Jinglong Zhao Fabrizio Cipollini Andrew Zheng Shichao Han Brian Karrer Liang Shi Okke Schrijvers Vivek F. Farias Andrew A. Li Tianyi Peng Fabrizia Mealli Yu-Chen Hu Davide Viviano Zhenling Jiang Gabriel Y. Weintraub Inessa Liskovich Ramesh Johari Hannah Li Lorenzo Masoero Brian Burdick 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 60)
Fairness-aware Gaussian Graphical Regression Models with Application to Brain Co-expression QTL Studies
published 2026 · Journal of the American Statistical Association
with Xingcai Zhou, Zinan Xu, Bei Jiang
Personalized treatment design in the context of functional confounding
published 2026 · Biometrics
Scalable inference in functional linear regression with streaming data
published 2026 · The Annals of Statistics · 2 citations · first circulated 2023
Resolving data imbalance in transfer learning: a simple random sampling approach
published 2026 · Statistics and Computing
with Andrei Afilipoaei, Venkata Shreya Kala, Jainish Mehta, Ce Zhang, Bei Jiang
Renewable ℓ 1 -Regularized Linear Support Vector Machine with High-Dimensional Streaming Data
published 2025 · Journal of Computational and Graphical Statistics
Spilt conformal prediction with missing response
published 2025 · Statistics and Computing
with Zhimiao Cao, Ce Zhang, Beibei Lian, Bei Jiang, Xiaodong Yan
A Bayesian hierarchical model for orthogonal Tucker decomposition with oblivious tensor compression
published 2025 · Knowledge and Information Systems · 3 citations · first circulated 2024
with Matthew Pietrosanu, Bei Jiang
Asymmetric Estimation for Varying-Coefficient Additive Model with Functional Response in Reproducing Kernel Hilbert Space
published 2025 · Statistica Sinica
with Yi Liu, Wei Tu, Yanchun Bao, Bei Jiang
An adaptive model checking test for the functional linear model
published 2025 · Bernoulli · 2 citations · first circulated 2022
with Enze Shi, Yi Liu, Ke Sun, Lingzhu Li
Functional Linear Operator Quantile Regression for Sparse Longitudinal Data
published 2025 · Statistica Sinica
High-dimensional outlier detection and variable selection via adaptive weighted mean regression
published 2025 · Electronic Journal of Statistics · first circulated 2023
with Jiaqi Li, Bei Jiang, Wei Tu
Statistical inference for smoothed quantile regression with streaming data
published 2024 · Journal of Econometrics · 5 citations
working paper 2024 · arXiv
Tracking full posterior in online Bayesian classification learning: a particle filter approach
published 2024 · Journal of nonparametric statistics
with Enze Shi, Jinhan Xie, Shenggang Hu, Ke Sun, Hongsheng Dai, Bei Jiang, Lingzhu Li
Functional linear quantile regression on a two-dimensional domain
published 2024 · Bernoulli
with Nan Zhang, Peng Liu, Bei Jiang, Jianhua Z. Huang
M-estimation for varying coefficient models with a functional response in a reproducing kernel Hilbert space
published 2024 · Bernoulli
with Yafei Wang, Bei Jiang, Zhongzhan Zhang
Fast Fusion Clustering via Double Random Projection
published 2024 · Entropy
with Hongni Wang, Na Li, Yanqiu Zhou, Jingxin Yan, Bei Jiang, Xiaodong Yan
Empirical likelihood M‐estimation for the varying‐coefficient model with functional response
published 2024 · Scandinavian Journal of Statistics · 1 citations
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations
Functional Linear Partial Quantile Regression with Guaranteed Convergence for Neuroimaging Data Analysis
published 2024 · Statistics in Biosciences · 4 citations
with Dengdeng Yu, Matthew Pietrosanu, Ivan Mizera, Bei Jiang, Wei Tu
Scalable inference for individual treatment effect
published 2024 · Statistics and Its Interface
A functional nonlinear mixed effects modeling framework for longitudinal functional responses
published 2024 · Electronic Journal of Statistics · 1 citations
with Xinchao Luo, Jinhan Xie, Lixing Zhu, Hongtu Zhu
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis
published 2023 · Computational Statistics · 2 citations
with Wenxing Guo, Xueying Zhang, Bei Jiang, Yaozhong Hu
Differentially Private Regularized Stochastic Convex Optimization with Heavy-Tailed Data
published 2023 · Statistica Sinica
with Haihan Xie, Matthew Pietrosanu, Yi Liu, Wei Tu, Bei Jiang
High‐dimensional model averaging for quantile regression
published 2023 · Canadian Journal of Statistics
Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space
published 2023 · Journal of Multivariate Analysis · 1 citations
with Haihan Xie
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators
published 2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations
A Reproducing Kernel Hilbert Space Framework for Functional Classification
published 2022 · Journal of Computational and Graphical Statistics · 5 citations · first circulated 2021
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
published 2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · first circulated 2021
with Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Di Niu, Zhen Wen
Estimation for partial functional partially linear additive model
published 2022 · Computational Statistics & Data Analysis · 8 citations
with Qingguo Tang, Wei Tu
Comments on “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”
published 2022 · Journal of the American Statistical Association · 1 citations
with Wei Tu, Bei Jiang
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
published 2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 24 citations · first circulated 2021
with Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Hongsheng Dai, Yanchun Bao, Bei Jiang
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
published 2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 5 citations · first circulated 2021
with Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui
Measuring re-identification risk using a synthetic estimator to enable data sharing
published 2022 · PLoS ONE · 21 citations
with Yangdi Jiang, Lucy Mosquera, Bei Jiang, Khaled El Emam
Functional Response Quantile Regression Model
published 2022 · Statistica Sinica · 2 citations
Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach
published 2022 · Entropy · 1 citations
with Matthew Pietrosanu, Yan Yuan, Rhonda C. Bell, Nicole Létourneau, Bei Jiang
Reproducing kernel‐based functional linear expectile regression
published 2021 · Canadian Journal of Statistics
Flexible quantile contour estimation for multivariate functional data: Beyond convexity
published 2021 · Computational Statistics & Data Analysis · 6 citations
with Gaurav Agarwal, Wei Tu, Ying Sun
Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis
published 2021 · Biostatistics · 8 citations · first circulated 2015
with Matthew Pietrosanu, Haoxu Shu, Bei Jiang, Giseon Heo, Qianchuan He, John H. Gilmore, Hongtu Zhu
Special Issue on Neuroimaging data analysis: Guest Editors' Introduction
published 2021 · Canadian Journal of Statistics
with Farouk S. Nathoo, Grace Y. Yi
High-Dimensional Spatial Quantile Function-on-Scalar Regression
published 2021 · Journal of the American Statistical Association · 22 citations · first circulated 2020
with Zhengwu Zhang, Xiao Wang, Hongtu Zhu
Testing independence of functional variables by angle covariance
published 2020 · Journal of Multivariate Analysis · 19 citations
with Tingyu Lai, Zhongzhan Zhang, Yafei Wang
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions
published 2020 · Entropy · 1 citations
with Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene L. Asahchop, Christopher Power, Bei Jiang, Niansheng Tang
Model-robust designs for nonlinear quantile regression
published 2020 · Statistical Methods in Medical Research · 2 citations
with Selvakkadunko Selvaratnam, Douglas P. Wiens
Advanced algorithms for penalized quantile and composite quantile regression
published 2020 · Computational Statistics · 33 citations · first circulated 2017
with Matthew Pietrosanu, Jueyu Gao, Bei Jiang, Di Niu
Story Forest
published 2020 · ACM Transactions on Knowledge Discovery from Data · 61 citations
with Bang Liu, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu
Wavelet-based LASSO in functional linear quantile regression
published 2019 · Journal of Statistical Computation and Simulation · 24 citations
A review of statistical methods in imaging genetics
published 2019 · Canadian Journal of Statistics · 40 citations · first circulated 2017
with Farouk S. Nathoo, Hongtu Zhu
Partial Functional Partially Linear Single-Index Models
published 2019 · Statistica Sinica · 10 citations · first circulated 2017
with Qingguo Tang, David Ruppert, Rohana J. Karunamuni
Sparse wavelet estimation in quantile regression with multiple functional predictors
published 2019 · Computational Statistics & Data Analysis · 30 citations · first circulated 2017
with Dengdeng Yu, Li Zhang, Ivan Mizera, Bei Jiang
Nonlocal spatial clustering in automated brain hematoma and edema segmentation
published 2019 · Applied Stochastic Models in Business and Industry · 4 citations
with Wei Tu, Rohana J. Karunamuni, Kenneth Butcher, Lili Zheng, Rebecca McCourt
A General Framework for Quantile Estimation with Incomplete Data
published 2019 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 43 citations
Efficient robust doubly adaptive regularized regression with applications
published 2018 · Statistical Methods in Medical Research · 9 citations
with Rohana J. Karunamuni, Wei Tu
Trajectory modeling of gestational weight: A functional principal component analysis approach
published 2017 · PLoS ONE · 16 citations
with Menglu Che, Rhonda C. Bell, Yan Yuan
Quantile regression in functional linear semiparametric model
published 2017 · Statistics · 10 citations
with Tang Qingguo
Expectile Matrix Factorization for Skewed Data Analysis
published 2017 · Proceedings of the AAAI Conference on Artificial Intelligence · 7 citations · first circulated 2016
with Rui Zhu, Di Niu, Zongpeng Li
Partial functional linear quantile regression for neuroimaging data analysis
published 2016 · Neurocomputing · 64 citations · first circulated 2015
with Dengdeng Yu, Ivan Mizera
Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits
published 2015 · Computational Statistics & Data Analysis · 33 citations
with Qianchuan He, Yanhua Wang, Sijian Wang, Timothy A. Chan, Eric C. Holland
Smooth depth contours characterize the underlying distribution
published 2010 · Journal of Multivariate Analysis · 44 citations
with Yijun Zuo
Discussion
published 2010 · The Annals of Statistics · 3 citations
with Ivan Mizera
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