Author | Li Mei, Wang Yue
Editor | Chen Caixian
Yesterday, the International Association for Pattern Recognition (IAPR) held the 26th International Pattern Recognition Conference in Montreal, Canada. The 21 newly elected IAPR Fellows were officially awarded the IAPR Fellow Award this year.
Among the scholars elected this year, there are 12 Chinese scholars, more than half! They are: Han Jungong, Han Junwei, Huang Kaiqi, , Huang Tingwen, Jiang Yugang, , Lei Zhen, Lin Ye, Nie Liqiang, Qi Guojun, Tang Jinhui, , Wu Xiaojun, and Zhang Zhongfei.
Picture Note: 2022 Newly elected IAPR Fellow List
IAPR was established in 1978. It is an international academic organization composed of experts and groups in the field of pattern recognition in various countries around the world. It is one of the most authoritative international academic organizations in the field of pattern recognition. IAPR Fellow was established in 1994 and is selected every two years and is awarded to outstanding scientific researchers and event organizers in the field of pattern recognition. The selection process for the membership is strict, and the elected member must be recommended, and the election rate shall not exceed 2.5% of the total number of members.
The following is an introduction to Chinese scholars who were elected as IAPR Fellow in 2022.
022 IAPR Fellow Chinese scholar
Korean military merits
Korean military merits are the full professor and chairman of the Institute of Computer Science, Aberystwyth University, UK. He has served as a senior scientist at Civolution Technology (the institution of Philips content recognition and Thomson STS), a staff member of the Center for Advanced Mathematics and Computer Science (CWI), a researcher at Eindhoven Technical University (TU/e) in the Netherlands, and a research assistant to the Internet Media Group of Microsoft Research Institute in Asia in China.
Professor Han Jungong's research fields include computer vision , artificial intelligence and machine learning. He independently and collaborated on more than 200 papers, including 80+ IEEE/ACM Transactions (23 papers on IEEE Trans. Image Processing) and 50+ A* conference papers (21 papers on CVPR, ICCV, ECCV; 2 papers on NeurIPS; 1 paper on ICML). He is also the deputy editor-in-chief of Elsevier Neurocomputing and IEEE Trans.
personal homepage: https://www.aber.ac.uk/en/cs/staff-profiles/listing/profile/juh22/
Han Junwei
Han Junwei, currently the second-level professor at Northwestern Polytechnical University . The main research directions are artificial intelligence, pattern recognition, brain-like computing, remote sensing image interpretation, etc. In the field top journals/conferences, such as Proceedings of the IEEE, IEEE TPAMI, CVPR, MICCAI, etc., more than 150 academic papers have been published, and the papers have been cited more than 20,000 times. H-index 73, and 3 papers have been selected as one of the 100 most influential international academic papers in China of the year.
He was elected IEEE Fellow in 2021 and won the 2021 IEEE GRSS Highest Impact Paper Award (IEEE Earth Science and Remote Sensing Society Most Influential Paper Award), the international journal IEEE TCSVT 2021 Best Paper Award, the International Conference IEEE BIBM 2018 Best Paper Award, the International Conference ACM Multimedia 2010, the MICCAI 2011 and ICME 2016 Best Student Paper Award, and the Shaanxi Provincial Science and Technology First Prize, and the 2021 Wu Wenjun First Prize for the invention of artificial intelligence technology.
personal homepage: https://teacher.nwpu.edu.cn/hanjunwei.html
Huang Kaiqi
Huang Kaiqi, currently director of the Intelligent Systems and Engineering Research Center, Distinguished Professor of the University of Chinese Academy of Sciences , a backbone talent of the Center for Excellence in Brain Science and Intelligent Technology of the Chinese Academy of Sciences, doctoral supervisor, executive director of the China Accusation Society, deputy director of the Video Image and Security Committee of the Chinese Image Graphics Society, and deputy director of the Intelligent Decision-making Committee (Preparation).
He is mainly engaged in the research of theoretical methods and key technologies such as image understanding and cognitive decision-making. He has published more than 200 papers in international authoritative journals and important conferences. Google Scholar has cited more than 14,000 times and has won the best papers in international/national academic conferences many times. The video tracking and evaluation platform and human-computer confrontation platform developed by the team have received widespread attention from the academic and industry.He authorized more than 70 national invention patents and used in important national departments, and his intellectual property rights were converted more than 10 million. He won multiple awards including the second prize of the National Science and Technology Progress Award and the second prize of the Chinese Society of Graphics and Graphics. He served as deputy editor-in-chief of many international journals including IEEE Transactions, chairman of important international conferences and member of the program. He is also a leading talent in scientific and technological innovation in the National Ten Thousand Talents Program and a leading talent in scientific and technological innovation in the Ministry of Science and Technology. He has won the honors of CCF-IEEE CS young scientist and 12th Outstanding Youth of Chinese Academy of Sciences.
personal homepage: https://people.ucas.ac.cn/~huangkaiqi?language=en
Huang Tingwen
Huang Tingwen, professor at Texas A&M University Qatar Branch. He received his bachelor's degree from Southwest University in 1990, and his master's degree from Sichuan University in 1993, and his doctorate degree from Texas A&M University in 2002. After graduating from his PhD, he stayed at school to teach.
His main research areas are nonlinear system dynamics, including neural network , chaotic dynamic systems, complex networks, optimization and control, smart grids, etc., and has published more than 200 academic papers and has been cited more than 29,000 times. He was elected the 2018 IEEE Fellow for his contribution to neural network dynamics. In 2021, he won the Outstanding Achievement Award from the Asia-Pacific Neural Network Society. He has served as the chairman of the branch or member of the Procedure Committee of more than 10 important international conferences, and is currently an editorial board member of several international academic journals including IEEE Transactions on Neural Networks and Learning Systems.
personal homepage: https://people.qatar.tamu.edu/tingwen.huang/
Jiang Yugang
Jiang Yugang, professor and doctoral supervisor at Fudan University, special professor of Changjiang Scholars of the Ministry of Education, head of the major project of "New Generation Artificial Intelligence" in National Science and Technology Innovation 2030, and director of Shanghai Intelligent Vision Computing Collaborative Innovation Center. His research fields are multimedia information processing, computer vision, and robust trusted artificial intelligence. He has published more than 200 papers and has been cited more than 10,000 times. The open source data and tool sets he built, such as VIREO374, CCV, VCDB, THUMOS, and FCVID, are frequently used by domestic and foreign scholars and enterprises.
He has won the first ACM China Rising Star Award, the 2015 ACM SIGMM Rising Star Award, the 2018 Shanghai Science and Technology Progress First Prize (1st Person Completed), and the 2019 Shanghai Youth Science and Technology Outstanding Contribution Award. Currently, he serves as Vice Chairman of the Shanghai Computer Society, Standing Committee Member of the CCF Multimedia Technology Committee, Deputy Director of the CSIG Multimedia Committee, Standing Committee Member of the Visual Big Data Committee, Editorial Committee of ACM TOMM and other journals, and Member of the Organization/Procedure Committee of many domestic and international academic conferences. He has been selected as the "Excellent Youth" of the National Foundation Committee, a young Yangtze River Scholar, and a top young talent in the Ten Thousand Talents Program.
personal homepage: http://www.yugangjiang.info/
Lei Zhen
Lei Zhen, Researcher at the Institute of Automation of the Chinese Academy of Sciences, , post professor at the University of Chinese Academy of Sciences, researcher at the Center for Artificial Intelligence and Robotics of the Hong Kong Institute of Innovation of Chinese Academy of Sciences, visiting professor at the Hong Kong Polytechnic University, deputy secretary-general of the Video Surveillance and Safety Committee of the Chinese Image Graphics Society, and member of the CCF Standards Working Committee. He graduated from Department of Automation, University of Science and Technology of China in 2005 and received a Ph.D. from the Center for Biometrics and Security Research (CBSR) of the Institute of Automation, Chinese Academy of Sciences and the National Laboratory of Pattern Recognition (NLPR) in 2010.
His research interests include basic theory of artificial intelligence, scene perception/understanding (detection, alignment, recognition, reasoning), biometrics, pattern recognition, computer vision, etc. He has published more than 200 papers in mainstream journals and conferences in this field, including IEEE Trans (TPAMI, TIP, TIFS, TNNLS), CVPR, ICCV, AAAI, IJCAI, and other mainstream journals and conferences in this field, and has cited more than 21,000 Google Scholar articles. He was selected as a highly cited scholar in 2020 and 2021, and won the first prize of the 2019 International Association for Pattern Recognition (IAPR) Young Scholar Award, CCBR2017 Best Student Paper Award, ICB2015 Best Student Paper Award, IJCB2014 Best Student Paper Award, etc.
personal homepage: http://www.cbsr.ia.ac.cn/users/zlei/
Lin
Lin , professor of the School of Computer Science and Technology of Sun Yat-sen University, head of the Human-Machine-Matter Intelligent Fusion (HCP) Laboratory of Sun Yat-sen University, formerly served as Outstanding Scientist/Chief R&D Director of SenseTime Technology Group. He obtained a bachelor's degree and a doctorate degree from Beijing Institute of Technology in 2003 and 2008 respectively. During his PhD, he went to the University of California, Los Angeles for joint training and studied under Zhu Songchun .
His research interests include machine perception and learning, intelligent applications and systems. Its Google Scholar article has been cited more than 22,000 times. He has won the Best Paper Award for Pattern Recognition Journal in 2018, the Best Paper Diamond Award for Multimedia Computing Flagship Conference in 2017, the First Prize for Science and Technology of the Chinese Image Graphics Society, Wu Wenjun Artificial Intelligence Natural Science Award, the 2018 CCF Green Bamboo Award, the Innovation and Promotion Award for Industry-university-research Cooperation, and the IEEE ICME 2014 Best Student Paper Award.
personal homepage: http://www.linliang.net/
Lu Siwei
Lu Siwei (Siwei Lyu), professor of Computer Science and Engineering Department of Imperial College, State University of New York, director of the UB Media Forensics Laboratory (UB MDFL), and founding co-director of the Center for Information Integrity (CII) of the University of Buffalo.
He received a bachelor's degree in information management from Peking University in 1997, a master's degree in computer science from Peking University in 2000, and a doctorate in computer science from Dartmouth College in the United States in 2005.
His research interests include digital media forensics, computer vision, and machine learning. He once developed a set of tools with the research team that can tell whether a face has been forged by simply reflecting the surface of the eyeball, with a success rate of 94%. He has won the 2019 Google Academy Research Award, the 2011 IEEE Signal Processing Association Best Paper Award, and the 2010 National Science Foundation Career Award. He was elected the 2022 IEEE Fellow for his contribution to digital media forensics technology.
Nie Liqiang
Nie Liqiang is a professor, doctoral supervisor at the School of Computer Science and Technology of Shandong University, and director of the Artificial Intelligence Research Institute of Shandong Academy of Sciences. He is currently the executive dean of the School of Computer Science and Technology of Harbin Institute of Technology (Shenzhen). He received his bachelor's and doctoral degrees from Xi'an Jiaotong University and from National University of Singapore in 2009 and 2013, respectively. After graduating from Dr. Nie Liqiang, he worked in scientific research as a researcher at the School of Computer Science and Technology of the National University of Singapore for three and a half years. He has won multiple awards such as ACM China Rising Star Award, DAMO Academy Qing Orange Award, , Shandong Province Science and Technology Progress First Prize and other awards.
Nie Liqiang's main research is field multimedia computing and information retrieval. In the past five years, he has published more than 100 papers in the international CCF Class A conference or ACM/IEEE journal. Google cited more than 5,000 times, and won many international honors such as SIGMM emerging leaders in 2018, SIGIR 2019 Best Paper Nomination Award and other international honors. He has served as a guest editorial board of many internationally renowned journals, such as ToMM, TBD, etc.; served as Chairman of the Procedure Committee of the International Conference ICIMCS 2017 and Editorial Board of Information Science; and Chairman of the ACM MM 2018/2019 field of CCF Class A Conference.
personal homepage: https://liqiangnie.github.io/index.html
Qi Guojun
Qi Guojun is the director and researcher of the MAPLE laboratory of the Department of Computer Science at the University of Central Florida. He studied at UST , and worked with Professor Thomas Huang from the Beckman Institute of the University of Illinois at Urbana-Champaign, and received his PhD in Electrical and Computer Engineering from the school.
Qi Guojun's research directions include computer vision, pattern recognition, data mining and multimedia computing. His research aims to effectively utilize data shared in open connected environments such as social, sensors, and mobile networks and develop computing models for general knowledge and information systems.
Dr. Qi Guojun is an outstanding scientist in IEEE Fellow, IAPR Fellow, AAIA Fellow and ACM.
personal homepage: http://maple-lab.net/about.html
Tang Jinhui
Tang Jinhui graduated from Department of Electronic Engineering and Information Science of University of Science and Technology of China in 2003 with a bachelor's degree; graduated from the Information and Information Processing Department of University of Science and Technology of China in May 2008 with a doctorate degree; from July 2008 to December 2010 in postdoctoral research at the School of Computer Science and Technology of Singapore. Later, he returned to China to work as a professor at the School of Computer Science and Technology of Nanjing University of Science and Technology, served as a doctoral supervisor since May 2011, and served as vice president since March 2014.
Tang Jinhui has been engaged in teaching and scientific research in multimedia analysis and retrieval for a long time. He has undertaken a number of national and provincial and ministerial projects, including presided over a 973 program youth scientist project and a national outstanding youth science fund project. He has also published more than 100 English academic papers, including more than 40 IEEE/ACM Transactions papers and more than 20 CCF Class A conference papers.
Tang Jinhui has won the Best Paper Award in ACM Multimedia 2007, PCM 2011, ICIMCS 2011, ACM Multimedia 2015 Best Paper Award, and MMM 2016 Best Student Paper Award. He was selected as a young scholar in the Yangtze River Scholar Award Program (2015) and a top young talent in the Ten Thousand Talent Program (2014), and served as a member of the Procedure Committee of several international conferences for many years and a reviewer of more than 30 international journals.
Personal homepage: https://cs.njust.edu.cn/1724/list.
Wu Xiaojun
Wu Xiaojun is a professor, doctoral supervisor, and dean of the Jiangnan University Research Institute. He graduated from Nanjing Normal University in June 1991 with a bachelor's degree in science, Nanjing University of Science and Technology in April 1996 with a master's degree in engineering, , and graduated from Nanjing University of Science and Technology in July 2002 with a doctorate in engineering.
Wu Xiaojun visited scholar at the UNU/IIST from September 1999 to March 2000. From August 2003 to September 2004, he conducted a visiting postdoctoral research on the Department of Electronic Engineering at Surrey University in the UK. He was promoted to professor in July 2005.
Professor Wu Xiaojun is engaged in research on pattern recognition and artificial intelligence. His research results have won 6 provincial and ministerial awards, including the best paper award for international conferences, IETE Gowri Memorial Award, and the first prize for scientific and technological progress of the Ministry of Education. His collaborator, Academician Josef Kittler, won the 2015 Jiangsu Science and Technology Awards International Science and Technology Cooperation Awards and the 2016 China Government Friendship Awards . Professor Wu Xiaojun has studied and academically visited the UK, France, Hong Kong, Macao and Taiwan, and has served as the chairman of several international and domestic academic conferences.
personal homepage: http://kjc.jiangnan.edu.cn/jgsz/wxj1.html
Zhang Zhongfei
Zhang Zhongfei, professor of computer science at Binghamton University, State University of New York. He mainly directs the multimedia research laboratory at the university. He holds a bachelor's degree in electronic engineering from Zhejiang University, a master's degree in information science from and a doctorate in computer science from the University of Massachusetts Amherst.
was a graduate student and worked as an intern at the NEC Research Institute, Inc. in Princeton, New Jersey, and as a technical consultant at Applied Artificial Intelligence, Inc. (formerly Amerinex Artificial Intelligence, Inc.) in Amherst. Prior to joining the Department of Computer Science and Engineering at the SUNY University of Buffalo, he was a research scientist at the Center for Excellence in Document Analysis and Identification and taught in the Department of Computer Science and Engineering at the SUNY University of Buffalo.
Professor Zhang Zhongfei's main research areas are machine learning, data mining and knowledge discovery, artificial intelligence, multimedia information indexing and retrieval, computer vision and image understanding, and pattern recognition. He has published more than 200 peer-reviewed academic papers in leading international journals and conferences, and has published several invited papers and book chapters in his main fields, edited and co-edited three books, published two monographs, and has served as an editorial board of several international journals, and has held different roles in the organizational committees of major conferences in his field.Professor Zhang is also a fellow of IEEE, IAPR and AAIA.
Personal homepage: http://www.cs.binghamton.edu/~zhongfei/
Congratulations to the above new IAPR Fellow!
reference link:
https://iapr.org/fellowsandawards/index.php?ar=2
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