Anzhi Wang received the Ph.D. degree in Computer  Science  and Technology  from the  College of Computer Science, Sichuan University, Chengdu, China, in 2017. From September 2021 to July 2022, he was a visiting scholar with the School of Informatics, Xiamen University, China. He is currently an associate professor with the School of Big Data and Computer Science, Guizhou Normal University, China. His current research interests mainly  focus  on the  fields  of computer vision,  digital image processing and deep learning, more specifically, include salient object detection, camouflaged object detection, image dehazing, image super-resolution, and etc. He has led many national and provincial research projects, including those funded by the National Natural Science Foundation of China and the Natural  Science  Foundation  of  Guizhou  Province.  He  has  published   over  40  papers  in  related international academic journals and conferences. He also serves as a member of CCF, CAAI, and CSIG, and serves as a reviewer for several international journals including IEEE-TIP, IEEE-TMM, Expert Systems With Applications, IEEE-SPL, EAAI, NCA,NPL, and for several various conferences including IJCAI, ICME, ICASSP, PRCV, ACAIT, and etc.