
Deep Learning Applications: In Computer Vision, Signals And Networks
Author(s): Qi Xuan (Editor), Yun Xiang (Editor), Dongwei Xu (Editor)
- Publisher: WSPC
- Publication Date: 23 Mar. 2023
- Language: English
- Print length: 308 pages
- ISBN-10: 9811266905
- ISBN-13: 9789811266904
Book Description
Editorial Reviews
About the Author
Qi Xuan received his BS and PhD degrees in control theory and engineering from Zhejiang University, Hangzhou, China, in 2003 and 2008, respectively. He was a Post-Doctoral Researcher with the Department of Information Science and Electronic Engineering, Zhejiang University, from 2008 to 2010, and a Research Assistant with the Department of Electronic Engineering, City University of Hong Kong, Hong Kong, in 2010 and 2017. From 2012 to 2014, he was a Post-Doctoral Fellow with the Department of Computer Science, University of California at Davis, CA, USA. He is a Senior Member of IEEE, and is currently a Professor with the Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His current research interests include network science, graph data mining, cyberspace security, machine learning, and computer vision.
Yun Xiang received his BS degree in physics from Zhejiang University, China, in 2006 and the PhD degree in Electrical Engineering from University of Michigan, USA, in 2014, respectively. He is currently a Lecturer with the Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China. His current research interests include cyberspace security, machine learning, embedded systems, and computer vision.
Dongwei Xu received his BE and PhD degrees from State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China, in 2008 and 2014, respectively. He is currently an associate professor with Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China. His research interests include intelligent transportation control, management, and traffic safety engineering.
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