Zhenzhong Kuang is currently with School of Computer Science and Technology, in Hangzhou Dianzi University (HDU). He received M.S. and Ph.D. degrees from China University of Petroleum, Qingdao, China in 2013 and 2017, respectively. In 2018, he received excellent Ph.D. thesis award from China Graphics Society. From 2015 to 2017, he was with University of North Carolina at Charlotte, Charlotte, USA. From 2018 to 2019, he was a Researcher with the Media Integrated Communication Lab., Graduate School of Engineering, Osaka University, Japan.

He mainly applies machine learning techniques to computer vision problems. His research interests include image recognition&retrieval, 3D model retrieval, image privacy protection, multimedia analysis, etc. His research results have expounded in 20+ publications at prestigious journals and conferences, such as IEEE TPAMI, TIP, TIFS, TMM, ICME, Pattern Recognition, Neurocomputing, and Computer-Aided Design. He received best paper awards for IEEE ICME and CAD/Graphics. He serverd for a number of journals and conferences, including IEEE Trans. on Multimedia (TMM), Information Sciences, Neurocomputing, ACM ICMR, APSIPA, etc.


One Paper Submitted to IEEE Trans. Multimedia 2019 was accepted.
One Paper Received IEEE ICME 2018 Best Paper Award.


Mixture of Multiple Hierarchical Deep Networks forLarge-Scale Image Recognition
supported by the China National Natural Science Foundation, Jan. 2019 - Dec. 2021, PI: Zhenzhong Kuang.