ZTE Communications ›› 2019, Vol. 17 ›› Issue (3): 1-1.doi: 10.12142/ZTECOM.201903001
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Editorial: Special Topic on Data Intelligence in New AI Era
XU Chengzhong, QIAO Yu
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Online:2019-09-29
Published:2019-12-06
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About author:XU Chengzhong, IEEE Fellow, is the Dean of the Faculty of Science and Technology, University of Macau (UM), Macao SAR, China and a Chair Professor of Computer Science of UM. He was a Chief Scientist of Shenzhen Institutes of Advanced Technology (SIAT) of Chinese Academy of Sciences, China and the Director of Institute of Advanced Computing and Digital Engineering of SIAT. He was also in the faculty of Wayne State University, USA for 18 years. Dr. XU’s research interest is mainly in the areas of parallel and distributed systems, cloud and edge computing, and data-driven intelligence. He has published over 300 peer-reviewed papers on these topics with over 10k citations. Dr. XU served in the editorial boards of leading journals, including IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, IEEE Transactions on Parallel and Distributed Systems, and Journal of Parallel and Distributed Computing. He is the Associate Editor-in-Chief of ZTE Communication. He is the Chair of IEEE Technical Committee of Distributed Processing.|QIAO Yu is a professor with the Shenzhen Institutes of Advanced Technology (SIAT), the Chinese Academy of Science, China and the director of Institute of Advanced Computing and Digital Engineering, China. His research interests include computer vision, deep learning, and robots. He has published more than 170 papers in international journals and conferences, including IEEE T-PAMI, IJCV, IEEE T-IP, IEEE T-SP, CVPR, ICCV, AAAI, and ECCV. He received LV Jiaxi Young Research Award from Chinese Academy of Sciences. He is a senior member of IEEE, and a youth science and technology innovation leader of Ministry of Science and Technology (MOST) of China. His group achieved the first runner-up at the ImageNet Large Scale Visual Recognition Challenge 2015 in scene recognition and the winner at the ActivityNet Large Scale Activity Recognition Challenge 2016 in video classification. His group also achieved top places in wide international vision challenges such as ChaLearn, LSun, and THUMOUS. He served as the program chair of IEEE IICIST 2014.
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