Chao Wang (王超)
Department of Statistics and Data Science
Southern University of Science and Technology
Shenzhen 518055, P.R. China
There are some openings for graduate students (MSc, Ph.D.), research assistants, and post-docs in my team. Please contact me if you are interested.
Chao Wang is an Assistant Professor at Southern University of Science and Technology (SUSTech). Before joining SUSTech, Chao was a postdoctoral researcher at the University of California Davis. He worked with Prof. Chen-Nee Chuah. He completed his Ph.D. in Mathematics from The Chinese University of Hong Kong under the direction of Prof. Raymond Chan and worked closely with Prof. Robert Plemmons at Wake Forest University. Previously, he worked with Prof. Yifei Lou at the University of Texas (UT) Dallas and Prof.Xun Jia at UT Southwestern Medical Center.
His research interests include scientific computing, compressed sensing, interdisciplinary mathematical modeling, convex and nonconvex optimization, medical imaging, machine learning, and numerical linear algebra.
Recent News
Feb. 2024, our work on Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm was accepted by Signal Processing.
Feb. 2024, our work on Sorted L1/L2 Minimization for Sparse Signal Recovery was accepted by Journal of Scientific Computing.
Jan. 2024, our work on A scale-invariant relaxation in low-rank tensor recovery with an application to tensor completion was accepted by SIAM Journal on Imaging Sciences.
Dec. 2023, our work on Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing with Non-uniform Spectral Sampling was accepted by IEEE Transactions on Geoscience and Remote Sensing.
Nov. 2023, our work on Robust retrieval of material chemical states in X-ray microspectroscopy was accepted by Optics Express.
Oct. 2023, our work on LocNet: Deep learning-based localization on rotating point spread function with applications to telescope imaging was accepted by Optics Express.
Sep. 2023, I started this personal website and stopped updating my Google site.
Aug. 2023, our work on Hyperspectral and multispectral image fusion via superpixel-based weighted nuclear norm minimization was published by IEEE Transactions on Geoscience and Remote Sensing.