Jie Yang
Shanghai Jiao Tong University, China
Biography：
Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books，more than five hundreds of articles in national or international academic journals and conferences. Google citation over 22200，H-index 80. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. Two Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009 and in 2017. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 48 patents.
Hongbin Shen
Shanghai Jiao Tong University, China
Biography：
He is a distinguished professor at the School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University and a national-level high-level talent. He serves as the project director for engineering at Zhiyuan College, focusing on teaching and research in pattern recognition and bioinformatics. He has supervised four master's students who were awarded the Shanghai Excellent Graduate Thesis Award.
Donghua Zhou
Tsinghua University, China
Biography：
He is a Fellow of CAA/IET/IEEE and has received several accolades, including the Sixth China Youth Science and Technology Award, the National Excellent Postdoctoral Award, the National Outstanding Youth Science Fund, the Changjiang Scholar Distinguished Professor awarded by the Ministry of Education, the "Ten Thousand Talents Program" Leading Talent, the Taishan Scholar Advantageous and Characteristic Disciplines Talent Team Leading Talent in Shandong Province, and the title of National Excellent Scientist. He has also served as the leader of an excellent innovation group at the National Natural Science Foundation of China.
Yuanjie Zheng
Shandong Normal University, China
Biography：
He is a member of the Standing Committee of the Party Committee and Vice President of Shandong Normal University. His current research focuses on artificial intelligence, computer vision, and medical image analysis. He has been the primary contributor to projects that received both the First and Second Prizes for Scientific and Technological Progress from Shandong Province. He has published over one hundred academic papers in top-tier journals, including IEEE TPAMI (impact factor: 24.31; ranked among the top two in both computer science and engineering categories), MedIA, IEEE TMI, IEEE TIP, and IEEE TNNLS, as well as in prestigious international conferences such as CVPR (ranked 4th in Google Scholar citations among all journals and conferences), ICCV, MICCAI, and IPMI. His articles have been selected as highly cited papers (with individual SCI citations over 3,000 times) and have received the Cover Article Award from the American Association of Physicists in Medicine. He has led significant foundational research projects in Shandong Province and the National Natural Science Foundation of China, and has been honored with titles such as Excellent Graduate Supervisor in Shandong Province, Outstanding Scientific and Technological Worker in Shandong Province, and the Returned Overseas Scholars Entrepreneurship Award in Shandong Province.
Jian Cheng
University of Electronic Science and Technology of China, China
Biography：
Research Directions: Image processing and pattern recognition, computer vision, intelligent video surveillance and scene understanding, analysis and processing of three-dimensional scene information, and multi-source remote sensing image fusion and information mining.
Research Overview: He has been engaged in systematic research work focusing on image processing, pattern recognition, machine learning, computer vision, and multi-modal remote sensing image analysis. He has undertaken over 20 national and provincial scientific research projects, including subprojects of the National 973 Program, the National 863 Program, the National Natural Science Foundation projects, and scientific collaboration projects with enterprises. He has published more than 100 academic papers in important domestic and international academic journals and conferences, including IEEE Transactions and ISPRS, with over 30 papers indexed by SCI and more than 80 indexed by EI. Additionally, he has applied for over 30 national invention patents, with more than 10 patents authorized.
Xiangjian He
University of Nottingham (Ningbo), China
Biography：
Professor Xiangjian (Sean) He received his PhD in Computer Science from the University of Technology Sydney in 1999. He is currently the Chair Professor of Computer Science and Technology, the Leader of Ningbo Municipal Computer Science and Technology Key Discipline (Class A), Deputy Head of Computer Science School and the Director of Computer Vision and Intelligent Perception Laboratory at the University of Nottingham Ningbo China (UNNC).
He is a National Talent, and in list of the 'World Top 2% Scientists' reported by Stanford University in 2022, 2023, 2024, etc.
He was the Professor of Computer Science and the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS) from 2011-2022. He was an IEEE Signal Processing Society Student Committee member.
Updating...