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.

📝 Preprints & In Preparation

Majorization Minorization, Moreau Envelopes, and Deweighting Weighted Least Squares

Qiang Heng, Hua Zhou, Kenneth Lange

To be submitted

Anderson Accelerated Operator Splitting Methods for Convex-nonconvex Regularized Problems

Qiang Heng, Xiaoqian Liu, Shiqian Ma, Eric C. Chi

To be submitted

A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem

Qiang Heng, Hui Shen, Kenneth Lange

In Revision

Bootstrap Estimation of the Proportion of Outliers in Robust Regression Models

Qiang Heng, Kenneth Lange

Accepted to Statistics and Computing

📝 Publications With Primary Role

Technometrics

Robust Low-rank Tensor Decomposition with the L2 Criterion

Qiang Heng, Eric C. Chi, Yufeng Liu

Technometrics, 2023

• [paper][code][arXiv]

JCGS

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo

Qiang Heng, Hua Zhou, Eric C. Chi

Journal of Computational and Graphical Statistics, 2023

• [paper][code][arXiv]

📝 Publications with Supporting Role

• 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).

• 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