Junren Chen
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Graduate Student
I am a final-year PhD student at Department of Mathematics, University of Hong Kong. My research interests lie in high-dimensional statistics, nonconvex optimization, mathematics of data science, signal processing, and machine learning. During my Ph.D., I focused on problems at the intersection of statistics, information and optimization, with a particular emphasis on estimation under nonlinear observations. |
Selected Papers
See Google Scholar for full list.
High Dimensional Statistical Estimation under Uniformly Dithered One-Bit Quantization.
Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang.
IEEE Transactions on Information Theory, 2023. [ieee, arxiv]
Exact Thresholds for Noisy Non-Adaptive Group Testing.
Junren Chen, Jonathan Scarlett.
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025. [arxiv, siam]
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate.
Junren Chen, Michael K. Ng.
Applied and Computational Harmonic Analysis, 2025. [arxiv, elsevier, matlab]
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms.
Junren Chen, Ming Yuan.
Preprint, 2024. [arxiv, matlab]
Optimal Quantized Compressed Sensing via Projected Gradient Descent.
Junren Chen, Ming Yuan.
Preprint, 2024. [arxiv, matlab]
Phase Retrieval of Quaternion Signal via Wirtinger Flow.
Junren Chen, Michael K. Ng.
IEEE Transactions on Signal Processing, 2023. [ieee, matlab]
On Subsample Size of Quantile-Based Randomized Kaczmarz.
Jian-Feng Cai, Junren Chen, Anna Ma, Tong Wu.
Preprint, 2025. [arxiv, matlab]
Robust Instance Optimal Phase-Only Compressed Sensing.
Junren Chen, Michael K. Ng, Jonathan Scarlett.
Preprint, 2024. [arxiv, matlab]
Phase Transitions in Phase-Only Compressed Sensing.
Junren Chen, Lexiao Lai, Arian Maleki.
IEEE International Symposium on Information Theory (ISIT), 2025. [arxiv]