26 citations · 52 across the 12 of their papers we have counts for
13 papers
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
Junren Chen, Michael K. Ng
A covariance matrix estimator using two bits per entry was recently developed by Dirksen, Maly and Rauhut [Annals of Statistics, 50(6), pp. 3538-3562]. The estimator achieves near…
Quantized Low-Rank Multivariate Regression with Random Dithering
Junren Chen, Yueqi Wang, Michael K. Ng
Low-rank multivariate regression (LRMR) is an important statistical learning model that combines highly correlated tasks as a multiresponse regression problem with low-rank priori…
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
Junren Chen, Michael K. Ng, Di Wang
This paper studies the quantization of heavy-tailed data in some fundamental statistical estimation problems, where the underlying distributions have bounded moments of some order.…
Phase Retrieval of Quaternion Signal via Wirtinger Flow
Junren Chen, Michael K. Ng
The main aim of this paper is to study quaternion phase retrieval (QPR), i.e., the recovery of quaternion signal from the magnitude of quaternion linear measurements. We show that…
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks
Jianfei Li, Chaoyan Huang, Raymond Chan +3
Spherical image processing has been widely applied in many important fields, such as omnidirectional vision for autonomous cars, global climate modelling, and medical imaging. It i…
Uniform Exact Reconstruction of Sparse Signals and Low-rank Matrices from Phase-Only Measurements
Junren Chen, Michael K. Ng
In phase-only compressive sensing (PO-CS), our goal is to recover low-complexity signals (e.g., sparse signals, low-rank matrices) from the phase of complex linear measurements. Wh…