Junren Chen

Novikov Postdoc Fellow
Department of Mathematics
University of Maryland
4176 Campus Dr, College Park

Office: 4305 Kirwan Hall
Email: jchen58@umd.edu

I am a Departmental Postdoc at University of Maryland. My research interests lie in high-dimensional statistics, nonconvex optimization, math of data, signal processing and machine learning. Previously, I got my PhD from the Math Department of The University of Hong Kong.

Selected/Recent Papers [Google Scholar]

• 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.  [tit, arxiv]

• A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization.
  Junren Chen, Lijun Ding, Dong Xia, Ming Yuan.
  Preprint, 2025.   [arxiv, matlab]

• Exact Thresholds for Noisy Non-Adaptive Group Testing.
  Junren Chen, Jonathan Scarlett.
  ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025.  [arxiv, soda]

• 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, acha, 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.  [tsp, 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]

• A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing.
  Junren Chen, Jonathan Scarlett, Michael K. Ng, Zhaoqiang Liu.
  Conference on Neural Information Processing Systems (NeurIPS), 2023.  [neurips, arxiv]