Prof. Linlin Shen
Shenzhen University, China
Professor Linlin Shen received Ph.D. degree from the University of Nottingham, Nottingham, UK. Prof. Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK and Visiting Professor at School of Computer Science, University of Nottingham, Ningbo, China. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems.
He is listed as the “Most Cited Chinese Researchers” by Elsevier, and listed in a ranking of the “Top 2% Scientists in the World” by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.
Prof. Xinde Li
Southeast University, China
Xinde Li (M’09-SM’16) earned his Ph.D. in Control Theory and Control Engineering, from Department of Control Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China, in 2007. Afterwards, he joined School of Automation, Southeast University, Nanjing, China, where he is currently a professor. He was an Academician of Russian Academy of Natural Sciences elected in 2020 and a cover person of Scientific Chinese in the same year. He was a vice director of Intelligent Robot Committee of Chinese Association for Artificial Intelligence from 2017, a vice director of Intelligent Products and Industry Working Committee of Chinese Association for Artificial Intelligence from 2019. His research interests include Artificial Intelligence, Intelligent Robot, Machine Perception and Understanding, and human-robot interaction, etc. He has undertaken many national key projects, i.e. National 863 key project, JKW key project, etc. and has published more than 80 high quality papers and 2 books, and owns 17 national invention patents. He also won many prizes, i.e. international contribution prize, Scientific and Technological Progress Award in CAA, etc.
Prof. Guoqiang Zhong
Ocean University of China, China
Guoqiang Zhong received his B.S. degree in Mathematics from Hebei Normal University, Shijiazhuang, China, his M.S. degree in Operations Research and Cybernetics from Beijing University of Technology (BJUT), Beijing, China, and his Ph.D. degree in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China, in 2004, 2007 and 2011, respectively. Between October 2011 and July 2013, he was a Postdoctoral Fellow with the Synchromedia Laboratory for Multimedia Communication in Telepresence, University of Quebec, Montreal, Canada. Between March 2014 and December 2020, he was an associate professor at Department of Computer Science and Technology, Ocean University of China, Qingdao, China. Since January 2021, he has been a full professor at College of Computer Science and Technology, Ocean University of China. He has published 4 books, 4 book chapters and more than 100 technical papers in the areas of artificial intelligence, pattern recognition, machine learning and computer vision. His research interests include pattern recognition, machine learning and computer vision. He has served as Chair/PC member/reviewer for many international conferences and top journals, such as IEEE TNNLS, IEEE TKDE, IEEE TCSVT, Pattern Recognition, Knowledge-Based Systems, Neurocomputing, ACM TKDD, AAAI, AISTATS, ICPR, IJCNN, ICONIP and ICDAR. He has been awarded outstanding reviewer by several journals, such as Pattern Recognition, Knowledge-Based Systems, Neurocomputing and Cognitive Systems Research. He has won the Best Paper Award of BICS2019 and the APNNS Young Researcher Award. He is senior member of CCF, CAAI and CSIG, member of ACM, IEEE, IAPR and APNNS, professional committee member of CAAI-PR, CAA-PRMI and CSIG-DIAR, and trustee of Shandong Association of Artificial Intelligence.
Prof. Bing Shi
Wuhan University of Technology, China
Bing Shi, Professor, Hubei Chutian student, vice president of computer college. He graduated from the Department of computer science and technology of Nanjing University with a bachelor's degree and a master's degree. He graduated from the school of electronics and computer of the University of Southampton with a doctor's degree. He also engaged in postdoctoral research in the University of Southampton. Dr. Shi Bing is a member of IEEE, ACM and CCF. He is mainly engaged in the research of artificial intelligence and multi-agent systems. He has published more than 20 papers in CCF recommended conferences and journals. He is an authoritative multi-agent system conference, AAMAS 2017, AAMAS 2018, AAMAS 2019, He is a member of AAMAS 2020 procedure Committee, and is responsible for reviewing manuscripts of several journals at the same time.