Author | Li Mei, Wang Yue
Edit | Chen Caixian
Yesterday, The International Association for Pattern Recognition (IAPR) held its 26th International Pattern Recognition Conference in Montreal, Canada, and 21 newly elected IAPR Fellows this year were officially awarded the IAPR Fellow Award.
Among the scholars elected this year, there are 12 Chinese scholars, more than half of whom are chinese scholars! They are: Han Jungong, Han Junwei, Huang Kaiqi, Huang Tingwen, Jiang Yugang, Lei Zhen, Lin Liang, Nie Liqiang, Qi Guojun, Tang Jinhui, Wu Xiaojun, and Zhang Zhongfei.
Photo note: List of newly elected IAPR Fellows for 2022
Founded in 1978, IAPR is an international academic organization composed of experts and groups in the field of pattern recognition from all over the world, and is one of the most authoritative international academic organizations in the field of pattern recognition. Established in 1994, the IAPR Fellow is awarded every two years to distinguished researchers and event organizers in the field of pattern recognition. The selection process for fellows is rigorous, with an elected fellow referral and an election rate not exceeding 2.5/1000 of the total number of members.
The following is an introduction to the Chinese scholars who were elected IAPR Fellows in 2022.
2022 IAPR Fellow Chinese Scholar
Han Jungong
Jungong Han is a full professor and chair of the Institute of Computer Science at Aberystwyth University, UK. He has served as a senior scientist at Civolution Technology, a combined philips content recognition and Thomson STS, a staff member at the Center for Advanced Mathematics and Computer Science (CWI), a researcher at Eindhoven Technical University (TU/e) in the Netherlands, and a research assistant in the Internet Media Group at Microsoft Research Asia in China.
Professor Han's research interests include computer vision, artificial intelligence and machine learning. He has authored more than 200 papers independently and co-authored, including 80+ IEEE/ACM Transactions (23 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 Associate Editor of Elsevier Neurocomputing and IEEE Trans.
Personal homepage: https://www.aber.ac.uk/en/cs/staff-profiles/listing/profile/juh22/
Han Junwei
Han Junwei is currently a second-level professor at Northwestern Polytechnical University, whose main research directions are artificial intelligence, pattern recognition, brain-like computing, and remote sensing image interpretation. He has published more than 150 academic papers in top journals/conferences such as Proceedings of the IEEE, IEEE TPAMI, CVPR, MICCAI, etc., and his papers have been cited more than 20,000 times, and H-index 73, 3 papers have been selected as the annual 100 most influential international academic papers in China.
He was elected an IEEE Fellow in 2021 and received the 2021 IEEE GRSS Highest Impact Paper Award, the IEEE TCSVT 2021 Best Paper Award, the International Conference IEEE BIBM 2018 Best Paper Award, the International Conference ACM Multimedia 2010, MICCAI 2011, and ICME The 2016 Best Student Paper Award nomination, as well as the first prize of Shaanxi Science and Technology and other 6 provincial and ministerial science and technology awards, and the first prize of Wu Wenjun artificial intelligence technology invention in 2021.
Personal homepage: https://teacher.nwpu.edu.cn/hanjunwei.html
Cage Huang
Huang Kaiqi is currently the director of the Intelligent Systems and Engineering Research Center, a distinguished professor of the University of Chinese Academy of Sciences, a backbone talent of the Center of Excellence in Brain Science and Intelligent Technology of the Chinese Academy of Sciences, a doctoral supervisor, a standing director of the China Accusation Society, the deputy director of the Video Image and Security Committee of the China Society of Image and Graphics, and the deputy director of the Intelligent Decision-making Committee of the Chinese Engineering Intelligence Society.
He is mainly engaged in the research of theoretical methods and key technologies such as image understanding and cognitive decision-making, and has published more than 200 papers in international authoritative journals and important conferences, cited more than 14,000 times by Google Scholar, won the best papers of international/national academic conferences for many times, and led the team to develop a video tracking evaluation platform and a human-computer confrontation platform that have received wide attention from the academic community and the industry. He has authorized more than 70 national invention patents and used them in important national departments, transformed more than 10 million intellectual property rights, won many awards including the second prize of the National Science and Technology Progress Award and the second prize of the Natural Science Of the Chinese Society of Graphics, and served as the deputy editor of many international journals including IEEE Journal and the chairman and program committee member of important international conferences. He is also a leading talent in scientific and technological innovation of the National Ten Thousand Talents Program, a young and middle-aged scientific and technological innovation leading talent of the Ministry of Science and Technology, and has won the honors of CCF-IEEE CS Young Scientist and the 12th Outstanding Youth of the Chinese Academy of Sciences.
Personal homepage: https://people.ucas.ac.cn/~huangkaiqi?language=en
Huang Tingwen
Huang Tingwen is a professor at Texas A&M University Qatar. He received his B.A. from Southwest University in 1990, his M.S. from Sichuan University in 1993, and his Ph.D. from Texas A&M University in 2002. After graduating with his Ph.D., he stayed on to teach.
His main research areas are nonlinear system dynamics, including neural networks, chaotic dynamical systems, complex networks, optimization and control, smart grids, etc., and he has published more than 200 academic papers and cited more than 29,000 times. He was named the 2018 IEEE Fellow of the Year for his contributions to neural network dynamics. In 2021 he received the Outstanding Achievement Award from the Asia Pacific Neural Network Society. He has served as a chapter chair or program committee member for more than 10 major 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 is a professor and doctoral supervisor of Fudan University, a Special Professor of Jiang Scholar of the Ministry of Education, the person in charge of the National Science and Technology Innovation 2030 "New Generation Artificial Intelligence" major project, and the director of Shanghai Intelligent Visual Computing Collaborative Innovation Center. His research interests include multimedia information processing, computer vision, and robust and trusted artificial intelligence, and he has published more than 200 papers and been cited more than 10,000 times. The open source data and toolsets he has built, such as VIRUS374, CCV, VCDB, THUMOS, and FCVID, are frequently used by scholars and enterprises at home and abroad.
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 (the first completer), and the 2019 Shanghai Youth Science and Technology Outstanding Contribution Award. At present, he is the vice chairman of the Shanghai Computer Society, the standing committee member of the CCF Multimedia Technology Committee, the deputy director of the CSIG Multimedia Committee, the standing committee member of the Visual Big Data Committee, the editorial board of ACM TOMM and other journals, and the member of the organization/procedure committee of many domestic and international academic conferences. He has been selected as the "Excellent Youth" of the National Fund Commission, the Young Yangtze River Scholar, and the Young Top Talent of the Ten Thousand Talents Program.
Personal homepage: http://www.yugangjiang.info/
Thunderclap
Lei Zhen is a researcher at the Institute of Automation, Chinese Academy of Sciences, a professor at the University of Chinese Academy of Sciences, a researcher at the Center for Artificial Intelligence and Robotics of the Hong Kong Innovation Institute of the Chinese Academy of Sciences, a visiting professor at the Hong Kong Polytechnic University, the deputy secretary-general of the Video Surveillance and Security Committee of the Chinese Society of Image and Graphics, and a member of the CCF Standards Working Committee. He graduated from the Department of Automation of the University of Science and Technology of China in 2005 and received his Ph.D. from the Center for Biometrics and Security Research (CBSR) and the National Laboratory for Pattern Recognition (NLPR) from the Institute of Automation, Chinese Academy of Sciences in 2010.
His research interests include the 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 IEEE Trans (TPAMI, TIP, TIFS, TNNLS), CVPR, ICCV, AAAI, IJCAI and other mainstream journals and conferences in the field, and google scholar articles have been cited more than 21,000 times. He has been selected as a Highly Cited Scholar of Elsevier China in 2020 and 2021, the first prize of the 2019 International Association for Pattern Recognition (IAPR) Young Scholar Award, the CCBR 2017 Best Student Paper Award, the ICB 2015 Best Student Paper Award, and the IJCB 2014 Best Student Paper Award.
Personal homepage: http://www.cbsr.ia.ac.cn/users/zlei/
Lin Liang
Lin Li, Professor of School of Computer Science, Sun Yat-sen University, Head of Human-Machine Intelligent Fusion (HCP) Laboratory of Sun Yat-sen University, was a Former Outstanding Scientist/Chief R&D Director of SenseTime. He received his B.S. and Ph.D. degrees from Beijing Institute of Technology in 2003 and 2008, respectively, and went to UCLA for joint training during his Ph.D. studies under Zhu Songchun.
His research interests include machine perception and learning, intelligent applications and systems. Its Google Scholar articles have been cited more than 22,000 times. He has won the Best Paper Award of the 2018 Pattern Recognition Journal, the Best Paper Diamond Award of the 2017 Multimedia Computing Flagship Conference ICME, the First Prize of Science and Technology of the Chinese Society of Image and Graphics, the Wu Wenjun Artificial Intelligence Natural Science Award, the 2018 CCF Qingzhu Award, the Industry-University-Research Cooperation Innovation and Promotion Award, and the IEEE ICME 2014 Best Student Paper Award.
Personal homepage: http://www.linliang.net/
Lu Siwei
Siwei Lyu is a professor in the Department of Computer Science and Engineering at Imperial College London at the 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) at the University of Buffalo.
He received a Bachelor of Science degree in Information Management from Peking University in 1997, a Master of Science degree in Computer Science and Technology from Peking University in 2000, and a Ph.D. in Computer Science from Dartmouth College in 2005.
His research interests include digital media forensics, computer vision, and machine learning. He and his research team developed a tool that can tell if a face has been forged simply by reflecting on the surface of the eyeball, with a 94% success rate. He has received the 2019 Google Institute Research Award, the 2011 IEEE Signal Processing Association Best Paper Award, and the 2010 National Science Foundation Career Award. He was named IEEE Fellow of the Year 2022 for his contributions to digital media forensics technology.
Nie Liqiang
Nie Liqiang is a professor and doctoral supervisor at the School of Computer Science and Technology of Shandong University, the dean of the Artificial Intelligence Research Institute of the Shandong Academy of Sciences, and the executive dean of the School of Computer Science of Harbin Institute of Technology (Shenzhen). He received his B.S. and PhDs from Xi'an Jiaotong University in 2009 and the National University of Singapore in 2013. After graduating, Dr Nie Liqiang worked as a researcher at the School of Computer Science at the National University of Singapore for three and a half years. He has won many awards such as ACM China Rising Star Award, Dharma Academy Green Orange Award, Shandong Provincial Science and Technology Progress First Prize and so on.
Nie Liqiang's main research is multimedia computing and information retrieval in the field, and in the past five years, he has published more than 100 papers in international CCF A conferences or ACM/IEEE journals, cited more than 5,000 times by Google, and won many international honors such as SIGMM emerging leaders in 2018 and SIGIR 2019 Best Paper Nomination Award. He has served as a guest editorial board member of many internationally renowned journals, such as ToMM, TBD, etc.; Chair of the ICIMCS 2017 Program Committee and Editorial Board of Information Science, an international conference; Chair of the CCF Category A Conference ACM MM 2018/2019.
Profile: https://liqiangnie.github.io/index.html
Qi Guojun
Qi Guojun is the director and researcher of the MAPLE Laboratory in the Department of Computer Science at the University of Central Florida. He studied at the University of Science and Technology of China as an undergraduate, collaborated with Professor Thomas Huang of the Beckman Institute's Image Formation and Processing Group at the University of Illinois at Urbana-Champaign, and received his Ph.D. in Electrical and Computer Engineering from the university.
Qi Guojun's research interests include computer vision, pattern recognition, data mining and multimedia computing. His research aims to effectively leverage data shared in open, connected environments such as social, sensor, and mobile networks, and to develop computational models for general knowledge and information systems.
Dr. Qi is an IEEE Fellow, IAPR Fellow, AAIA Fellow, and ACM Distinguished Scientist.
Personal homepage: http://maple-lab.net/about.html
Tang Jinhui
Tang Jinhui graduated from the Department of Electronic Engineering and Information Science of the University of Science and Technology of China with a bachelor's degree in 2003. In May 2008, he graduated from the University of Science and Technology of China with a doctorate degree in information and information processing. From July 2008 to December 2010, he was engaged in postdoctoral research at the School of Computer Science, National University of Singapore. He then returned to China to work as a professor at the School of Computer Science of Nanjing University of Science and Technology, where he was appointed as a doctoral supervisor since May 2011 and as vice dean since March 2014.
Tang Jinhui has long been engaged in teaching and scientific research in multimedia analysis and retrieval, and he has undertaken a number of national, provincial and ministerial projects, including a 973 Program Young Scientist Project and a National Outstanding Youth Science Foundation project. He has also published more than 100 academic papers in English, including more than 40 papers on IEEE/ACM Transactions and more than 20 papers on CCF's Class A conferences.
Jinhui Tang has been nominated for the Best Paper Award of ACM Multimedia 2007, PCM 2011, ICIMCS 2011, the Best Paper Award of ACM Multimedia 2015, and the Best Student Paper Award of MMM 2016. He has been selected as a young scholar of the "Yangtze River Scholars Award Program" (2015) and the "Ten Thousand Talents Program" Young Top Talents (2014), and has served as a member of the program committee of several international conferences for many consecutive years and a reviewer of more than 30 international journals.
Profile: https://cs.njust.edu.cn/1724/list.htm
Wu Xiaojun
Xiaojun Wu is a professor, doctoral supervisor and dean of the Research Institute of Jiangnan University, school of artificial intelligence and computer science at Jiangnan University. He graduated from Nanjing Normal University with a Bachelor of Science degree in Mathematics in June 1991, a Master of Engineering degree in Ballistics from Nanjing University of Science and Technology in April 1996, and a Doctor of Engineering degree in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in July 2002.
From September 1999 to March 2000, Wu Xiaojun was a visiting scholar at the International Institute of Software Technology (UNU/IIST) of the United Nations University, from August 2003 to September 2004, he was a visiting postdoctoral researcher at CVSSP, Department of Electrical Engineering, Surrey University, UK, and was promoted to professor in July 2005.
Professor Wu Xiaojun is engaged in research on pattern recognition and artificial intelligence, and his research results have won 6 awards at or above the provincial and ministerial levels, including the Best Paper Award of international conferences, the IETE Gowri Memorial Award, and the first prize of the Ministry of Education's Science and Technology Progress Award. His collaborator, Academician Josef Kittler, won the 2015 Jiangsu Science and Technology Award for International Science and Technology Cooperation and the 2016 Chinese Government Friendship Award. Professor Wu Xiaojun has studied and visited in the United Kingdom, 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.htm
Zhang Zhongfei
Zhongfei Zhang is a professor of computer science at Binghamton University at the State University of New York. He directs the work of the Multimedia Research Laboratory primarily at the University. He holds a B.S. in Electrical Engineering, a M.S. in Information Science from Zhejiang University, and a Ph.D. in Computer Science from the University of Massachusetts Amherst.
As a graduate student, he 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.) at Amherst. Prior to joining the Department of Computer Science and Engineering at the State University of New York at Buffalo, he was a research scientist at the Center for Excellence in Document Analysis and Identification and taught at the Department of Computer Science and Engineering at the State University of New York at Buffalo.
Professor Zhang'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, numerous invited papers and book chapters in his area of expertise, edited and co-edited three books, published two monographs, served on the editorial boards of several international journals, and played various roles in the organizing committees of major conferences in his field. Professor Zhang is also a fellow of the IEEE, IAPR and AAIA.
Personal homepage: http://www.cs.binghamton.edu/~zhongfei/
Congratulations to the new IAPR Fellows above!
Reference Links:
https://iapr.org/fellowsandawards/index.php?ar=2
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