Junren Chen - Math PhD Student
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PhD Student
I am a final-year PhD student at Department of Mathematics, The University of Hong Kong. My research interests include high-dimensional statistics, nonconvex optimization, mathematics of data science, signal processing and machine learning. I study both the information-theoretic and the algorithmic aspects of a specific problem. My Ph.D. research has been focused on estimation under nonlinearities such as quantization. |
Selected Papers
Below are some representative papers with links. See Google Scholar for fuller list.
High Dimensional Statistical Estimation under Uniformly Dithered One-Bit Quantization. [ieee, arxiv]
Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang.
IEEE Transactions on Information Theory, 2023.
Exact Thresholds for Noisy Non-Adaptive Group Testing. [arxiv, siam]
Junren Chen, Jonathan Scarlett.
ACM-SIAM Symposium on Discrete Algorithms (SODA 25).
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. [arxiv, matlab]
Junren Chen, Michael K. Ng.
Accepted to Applied and Computational Harmonic Analysis, 2025.
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms. [arxiv, matlab]
Junren Chen, Ming Yuan.
Preprint, 2024
Optimal Quantized Compressed Sensing via Projected Gradient Descent. [arxiv, matlab]
Junren Chen, Ming Yuan.
Preprint, 2024
Phase Retrieval of Quaternion Signal via Wirtinger Flow. [ieee, matlab]
Junren Chen, Michael K. Ng.
IEEE Transactions on Signal Processing, 2023.
Phase Transitions in Phase-Only Compressed Sensing. [arxiv]
Junren Chen, Lexiao Lai, Arian Maleki.
Accepted to ISIT 2025.