Junren Chen

Novikov Postdoc Fellow
Department of Mathematics
University of Maryland

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

I am a Novikov Postdoctoral Fellow at University of Maryland, fully supported by the Department of Mathematics.

My research interests lie in high-dimensional statistics, nonconvex optimization, mathematical data science, signal processing, and machine learning.

I enjoy discussing ideas and developing potential collaborations in related areas.

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, Minor Revision at a Journal, 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. (α–β)
  Preprint, Minor Revision at a Journal, 2025.  [arxiv, matlab]

• Robust Mean Estimation under Quantization.
  Pedro Abdalla, Junren Chen. (α–β)
  Preprint, to be posted.   [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]