I am currently a tenure-track associate researcher (副研究员) at School of Mathematics at Southeast University in Nanjing, Jiangsu, China. Previously, I was a postdoctoral scholar at Department of Computational Medicine, UCLA, working with Dr. Kenneth Lange and Dr. Hua Zhou. Prior to that, I received my Ph.D. from North Carolina State University, where I primarily worked with Dr. Eric C. Chi. I am currently interested in statistics from a computational perspective, theory and practise for continuous convex/nonconvex optimization algorithms, and problems in modern large-scale genomic analyses.
Undergraduate and graduate students at Southeast University interested in doing a thesis with me are welcome to email me at heng.qiang6@gmail.com.
📝 Preprints & In Preparation
Sparse Quantile Regression at the Biobank Scale
Qiang Heng, Xiaoqian Liu
In Preparation
Quadratic Majorization Minorization with Exrapolation
Qiang Heng
In Preparation
Tactics for Improving Least Squares
Qiang Heng, Hua Zhou, Kenneth Lange
Under Review
Anderson Accelerated Operator Splitting Methods for Convex-nonconvex Regularized Problems
Qiang Heng, Xiaoqian Liu, Eric C. Chi
Under Review
A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem
Qiang Heng, Hui Shen, Kenneth Lange
Accepted to Journal of Computational and Graphical Statistics (2025+)
Bootstrap Estimation of the Proportion of Outliers in Robust Regression Models
Qiang Heng, Kenneth Lange
Accepted to Statistics and Computing (2025)
📝 Publications With Primary Role
📝 Publications with Supporting Role
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FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning [arXiv] Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie. The Eleventh International Conference on Learning Representations (ICLR 2023).
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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation [arXiv] Xinkai Zhou, Qiang Heng, Eric C. Chi, Hua Zhou. The American Statistician (accepted, 2024+).
📖 Educations
- 2019.08 - 2023.12, Ph.D. Statistics, North Carolina State University.
- 2015.09 - 2019.06, B.S. Statistics, Shanghai University of Finance and Economics.
💬 Presentations
- 2024.07 EcoStat 2024, A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem, Invited Talk, New Statistical Methods for Complex Data
- 2024.03 McGill University, A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem, Invited Talk, Statistics Seminar
- 2023.07 Brown University, Anderson Accelerated Operator Splitting for Convex-nonconvex Regularization, Poster Presentation, Acceleration and Extrapolation Methods workshop at ICERM
- 2022.07 Lehigh University, Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo, Invited Talk, ICCOPT 2022