Zhihai He IEEE Fellow Chair Professor, Department of Electronics, Southern University of Science and Technology
Professor He has worked in the Department of Electronic Engineering at the University of Missouri for 18 years. Before leaving, he was the tenured full professor of the department and the Robert Lee Tatum Distinguished Chair Professor. During his work in the United States, he undertook more than ten key research projects of the National Science Foundation (NSF), Department of Defense (DoD), and National Institutes of Health (NIH). The current research direction is deep learning, machine vision & artificial intelligence Internet of Things (AIoT). He was selected into the Stanford University's World's Top 2% Scientists Lifelong Science Impact Ranking and the 2019 Science Impact Ranking.
Ph.D. University of California, Santa Barbara, Electrical and Computer Engineering (Advisor: Prof. Sanjit K. Mitra) 1998-2001
M.S. Chinese Academy of Sciences, Institute of Computational Mathematics 1994-1997
B.S. Beijing Normal University, Beijing, P R China, Mathematics 1990-1994
Professor, Southern University of Science & Technology, China 202106 - present
Professor, University of Missouri, Columbia 2013-2021
Associate Professor, University of Missouri, Columbia 2009-2013
Assistant Professor, University of Missouri, Columbia 2003-2009
Research Engineer, David Sarnoff Research Center (Sarnoff Co.), Princeton NJ. 2001-2003
Professor He has served as the editorial board editor of many international journals, including IEEE Transactions on Circuits and Systems for Video Technologies; IEEE Transactions on Multimedia and Journal of Visual Communication and Image Representation. He is the co-chair of the 2007 International Wireless Multimedia Conference, a member of the IEEE Video Processing Technical Committee, a member of the IEEE Multimedia Technical Committee, and the branch chair of several international conferences. More than 150 papers have been published in top international journals and international conferences. His main research results include: the establishment of a unified rate control model for image and video compression communication systems; the first to extend the Shannon rate-distortion (R-D) model in information theory to the energy domain (P), establish a PRD model, and it is used to optimize the energy consumption of mobile video equipment; the first to propose and study the visual sensor network; and it is widely used in health monitoring, battlefield intelligence, wildlife tracking, environmental protection and other fields.
Research direction: Smart cyber-physical systems; machine learning; computer vision; wireless sensor networks; embedded multimedia system design; image/video compression.
Awards & Honors
IEEE Transactions on Circuits and Systems for Video Technology Best Paper Award for Year 2002, 2002
2004 SPIE VCIP Young Investigator Award, 2004
Second Place in competition for IEEE Transactions on Circuits and Systems for Video Technology Best Paper Award, 2006
HKN Excellence of Teaching Award, 2005
Marquis Who's Who in Science and Engineering, 2006
Missouri Honors Engineering Junior Faculty Research Award, 2008
Provost's Outstanding Junior Faculty Research and Creative Activity Award, 2009
IEEE Transactions on Circuits and Systems for Video Technology Outstanding Associate Editor Award, 2010
IEEE Fellow, 2015
Missouri Honors Engineering Senior Faculty Research Award, 2017
Robert Lee Tantum Distinguished Professor, 2019
Shenzhen Overseas High-level Talents, 2021
1. Chung Y-C, Han TX, He Z, editors. Building recognition using sketch-based representations and spectral graph matching. 2009 IEEE 12th International Conference on Computer Vision; 2009: IEEE.
2. He Z. Peak transform for efficient image representation and coding. IEEE Transactions on Image Processing. 2007;16(7):1741-54.
3. He Z, Cheng W, Chen X. Energy minimization of portable video communication devices based on power-rate-distortion optimization. IEEE transactions on circuits and systems for video technology. 2008;18(5):596-608.
4. He Z, Liang Y, Chen L, Ahmad I, Wu D. Power-rate-distortion analysis for wireless video communication under energy constraints. IEEE transactions on circuits and systems for video technology. 2005;15(5):645-58.
5. He Z, Mitra SK. A unified rate-distortion analysis framework for transform coding. IEEE Transactions on Circuits and Systems for Video Technology. 2001;11(12):1221-36.
6. He Z, Wu D. Resource allocation and performance analysis of wireless video sensors. IEEE transactions on circuits and systems for video technology. 2006;16(5):590-9.
7. He Z, Wu DO. Linear rate control and optimum statistical multiplexing for H. 264 video broadcast. IEEE Transactions on Multimedia. 2008;10(7):1237-49.
8. He Z, Xiong H. Transmission distortion analysis for real-time video encoding and streaming over wireless networks. IEEE transactions on Circuits and Systems for Video Technology. 2006;16(9):1051-62.
9. Kan S, Cen Y, Cen Y, Vladimir M, Li Y, He Z. Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval. IEEE Transactions on Image Processing. 2020;30:501-16.
10. Li Y, Kan S, He Z, editors. Unsupervised deep metric learning with transformed attention consistency and contrastive clustering loss. Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16; 2020: Springer.
11. Li Y, Zhao Z, Sun H, Cen Y, He Z. Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets. IEEE Transactions on Multimedia. 2020;23:1354-66.
12. Ren X, Han TX, He Z, editors. Ensemble video object cut in highly dynamic scenes. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; 2013.
13. Sun H, Zhao Z, He Z, editors. Reciprocal learning networks for human trajectory prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition; 2020.
14. Sun Z, Chen X, He Z. Adaptive critic design for energy minimization of portable video communication devices. IEEE Transactions on Circuits and Systems for Video Technology. 2009;20(1):27-37.
15. Yuan J, He Z, editors. Ensemble generative cleaning with feedback loops for defending adversarial attacks. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition; 2020.
16. Zhang Y, Qin S, He Z. Fine-granularity transmission distortion modeling for video packet scheduling over mesh networks. IEEE Transactions on multimedia. 2009;12(1):1-12.
17. Zhang Y, Zhang Y, Qin S, Li B, He Z. Delay-bounded priority-driven resource allocation for video transmission over multihop networks. IEEE Transactions on Circuits and Systems for Video Technology. 2014;24(7):1184-96.
18. Zhang Y, Zhang Y, Sun S, Qin S, He Z. Multihop packet delay bound violation modeling for resource allocation in video streaming over mesh networks. IEEE transactions on multimedia. 2010;12(8):886-900.
He Zhihai’s research group is recruiting research assistant professors, post-doctoral fellows, and doctoral students in deep learning, machine vision, artificial intelligence and Internet of Things. At the same time, visiting scholars and exchange students from universities and research institutions at home and abroad are welcome. If you are interested in joining, please send your resume to: firstname.lastname@example.org. Contact Address: Unit 434, South Building, School of Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan District, Shenzhen, Guangdong Province, Tel: +86 13602642426
Artificial Intelligence Laboratory, Department of Electronic and Electrical Engineering, Southern University of Science and Technology
Room 434, South Building, School of Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Nanshan District, Shenzhen