Dr. Wang is an Assistant Professor of the Department of Statistics and Data Science at Southern University of Science and Technology. His research directions are mainly image processing, scientific computing, and interdisciplinary data science, and he has made some innovative contributions to theoretical and algorithmic advances regarding sparsity. In recent years, he has published papers in top journals and academic conferences such as TIP, SISC, SIIMS, ICML, IP, etc. Dr. Wang received the best paper awards in both the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) workshop in 2022 and the 15th China Society of Industrial and Applied Mathematics (CSIAM) Annual Conference in 2017,  as well as obtained the SIAM Student/Early Career Travel Grant Award twice in 2018 and 2020, respectively. Dr. Wang's research is partially supported by the Natural Science Foundation of China (NSFC) Youth Science grant, the Shenzhen Overseas High-level Talents grant (Peacock Project), the Hong Kong Research Grants Council grant, and the Natural Science Foundation of Shenzhen.