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]
J. Chen, C.-L. Wang, M. K. Ng, D. Wang.
IEEE Transactions on Information Theory, 2023.
Exact Thresholds for Noisy Non-Adaptive Group Testing. [arxiv, siam]
J. Chen, J. Scarlett.
ACM-SIAM Symposium on Discrete Algorithms (SODA 25).
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. [arxiv, matlab]
J. Chen, M. K. Ng.
In Revision, 2023
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms. [arxiv, matlab]
J. Chen, M. Yuan.
Preprint, 2024
Optimal Quantized Compressed Sensing via Projected Gradient Descent. [arxiv, matlab]
J. Chen, M. Yuan.
Preprint, 2024
Phase Retrieval of Quaternion Signal via Wirtinger Flow. [ieee, matlab]
J. Chen, M. K. Ng.
IEEE Transactions on Signal Processing, 2023.
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing. [neurips]
J. Chen, J. Scarlett, M. K. Ng, Z. Liu.
Neural Information Processing Systems (NeurIPS), 2023.
Signal Reconstruction from Phase-Only Measurements. [siam, arxiv]
J. Chen, M. K. Ng.
SIAM Journal on Applied Mathematics, 2023.
Phase Transitions in Phase-Only Compressed Sensing. [arxiv]
J. Chen, L. Lai, A. Maleki.
Preprint, 2025.