Professor Shyi-Ming Chen
Chair Professor in National Taiwan University of Science and Technology, Taiwan. IEEE fellow
Research Areas: Fuzzy Systems, Information Retrieval, Knowledge-Based Systems, Artificial Intelligence, Data Mining, Genetic Algorithms
Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is currently a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. From August 2007 to July 2010, he was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. From August 2011 to July 2012, he was the Vice President of the National Taichung University of Education, Taichung, Taiwan.
Professor Chen is an IEEE Fellow, an IET Fellow and an IFSA Fellow. He was the President of the Taiwanese Association for Consumer Electronics (TACE) from December 2008 to December 2012 and from December 2014 to December 2016. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI) from January 2005 to January 2009. He has published more than 500 papers in referred journals, conference proceedings and book chapters. He has received numerous honors and awards, including the 2001 Distinguished Talented Person Award for Distinguished Contributions in Information Technologies, the 2002 Distinguished Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), the 2008 Distinguished Engineering Professor Award granted by the Chinese Institute of Engineers (CIE), and the 2013 Distinguished Contributions Award of the Taiwanese Association for Consumer Electronics (TACE). He is an Editor-in-Chief of the journal of Granular Computing (Published by Springer). He was a 2014 Fellows Evaluation Committee Member of the IEEE Systems, Man, and Cybernetics Society.
Professor Xin Yao
School of Computer Science at the University of Birmingham, IEEE fellow
Xin Yao is the Director of The Centre of Excellence for Research in Computational Intelligence and Applications (Cercia) and a Professor of Computer Science in the School of Computer Science at the University of Birmingham. He is a Distinguished Visiting Professor at the University of Science and Technology of China and a visiting professor of three other universities. He joined the University of Birmingham from Australia as a professor of computer science in 1999. He is a fellow of IEEE, a Distinguished Lecturer of the IEEE Computational Intelligence Society, the editor-in-chief of IEEE Transactions on Evolutionary Computation, and the editor of the book series on "Advances in Natural Computation" from World Scientific Publishing Co. He has been invited to give keynote speeches speaker at more than 35 international conferences in 13 different countries. He has chaired/co-chaired over 30 international conferences. His work has won several awards, including the prestigious IEEE Donald G. Fink Prize Paper Award (2001). He has been awarded more than GBP5M external Grants for his research from research councils, government bodies and industry.
Professor Max Q.-H. Meng
The Chinese University of HongKong , IEEE fellow
Max is currently Professor and Chairman of Department of Electronic Engineering at CUHK. Max received his Ph.D. degree in Electrical and Computer Engineering from the University of Victoria, Canada, in 1992, advised by Professor Wu-Sheng Lu, and his Master's degree from Beijing Institute of Technology in 1988. Before he joined CUHK in 2001, he was with the Department of Electrical and Computer Engineering at the University of Alberta in Canada, serving as the Director of the ART (Advanced Robotics and Teleoperation) Lab and holding the positions of Assistant Professor (1994), Associate Professor (1998), and Professor (2000), respectively. He was an Overseas Outstanding Scholar Chair Professor of the Chinese Academy of Sciences from 2001 to 2005 and the Honorary Dean of the School of Control Science and Engineering at Shandong University from 2006 to 2010. He is an affiliated member of the State Key Laboratory of Robotics and Systems at Harbin Institute of Technology.
Max's research interests include robotics, medical robotics, active and diagnostic medical devices, perception and sensing, robotic intelligence, human-robot interaction, bio-sensors and sensor networks, and adaptive and intelligent systems. He is a recipient of the IEEE Millennium Medal, a Fellow of IEEE, a Fellow of Hong Kong Institution of Engineers, and a Fellow of the Canadian Academy of Engineering.
Professor James Tin-Yau KWOK
Hong Kong University of Science and Technology, China.
Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology in 2000 and is now a Professor in the Department of Computer Science and Engineering. He served/is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, International Journal of Data Science and Analytics (JDSA), and Governing Board Member of the Asia Pacific Neural Network Society (APNNS). He also served/is serving as Area Chairs of major machine learning / AI conferences including NIPS (2015,2016,2018), ICML (2015-2018), IJCAI (2017,2018) and ECML (2011,2012).
Professor Chaohui Guo
Principal Researcher of Baosteel Central Research Institute
Professor of Zhejiang University, Chian. Professor in Visiting scholar at Oxford University. Adjunct professor of Tsinghua University/ Shanghai Jiao Tong University. Well-known experts in Big data and Artificial Manufacturing areas.
Director of Augmented Reality (AR) Lab, Baidu
Vice president, Shanghai SIASUN Robot & Automation Co., Ltd.
Professor WONG, Tien-Tsin (T. T.)
Dept of Computer Science & Engineering , The Chinese University of Hong Kong
SMACM, MIEEE, FHKIE, MEG
Tien-Tsin Wong is known with his pioneer works in Computational Manga, Image-based Relighting, Ambient Occlusion (Dust Accumulation Simulation), Sphere Maps, and GPGPU for Evolutionary Computing. He graduated from the Chinese University of Hong Kong in 1992 with a B.Sc. degree in Computer Science. He obtained his M.Phil. and Ph.D. degrees in Computer Science from the same university in 1994 and 1998 respectively. He was with HKUST in 1998. In August 1999, he joined the Computer Science & Engineering Department of the Chinese University of Hong Kong. He is currently a Professor. He is also the director of Digital Visual Entertainment Laboratory at CUHK Shenzhen Research Institute (CUSZRI). He received the IEEE Transactions on Multimedia Prize Paper Award 2005 and the Young Researcher Award 2004. He was also qualified for National Thousand Talents Plan (國家千人计划) and Tianjin Thousand Talents Plan (天津市千人计划). He was the Academic Committee of Microsoft Digital Cartoon and Animation Laboratory in Beijing Film Academy, visiting professor in both South China University of China and School of Computer Science and Technology at Tianjin University. He has actively involved (as Program Committee) in several international prestigious conferences, including SIGGRAPH Asia (2009, 2010, 2012, 2013, 2018), Eurographics (2007-2009, 2011), Pacific Graphics (2000-2005, 2007-2018), ACM I3D (2010-2013), ICCV 2009, and IEEE Virtual Reality 2011.
Professor Yizhou Yu
Department of Computer Science at the University of Hong Kong
Yizhou Yu received the Ph.D. degree from the computer vision group at University of California at Berkeley in 2000. From 2000 to 2012, he was a tenure-track Faculty Member with University of Illinois at Urbana-Champaign (UIUC). He is currently a Professor with The University of Hong Kong. His current research interests include deep learning methods for visual computing, biomedical data analysis, computational visual media, geometric computing, and intelligent video analytics. Dr. Yu was a recipient of the 2002 U.S. National Science Foundation CAREER Award, the 2007 NNSF China Overseas Distinguished Young Investigator Award, and two ACM SCA Best Paper Awards. He has served on the Editorial Board of IEEE Transactions on Visualization and Computer Graphics, IET Computer Vision, The Visual Computer, and International Journal of Software and Informatics. He has also chaired or served on the program committee of many leading international conferences, including SIGGRAPH, SIGGRAPH Asia, and the International Conference on Computer Vision.
Professor Guoping Qiu
University of Nottingham, UK.
Head of Computer Science, Director of IDIC
Guoping Qiu took up the role of Head of the School of Computer Science in September 2012 and is also Director of the International Doctoral Innovation Centre (IDIC), a 170 million RMB (£17 million) investment venture to train PhD students in the areas of energy technologies and digital economy. He joined the School of Computer Science at The University of Nottingham, UK, in September 2000 as a lecturer. In 2004, he was promoted to Reader in Visual Information Processing and is now a Professor of Visual Information Processing. At The University of Nottingham Ningbo China, he has held senior management positions, including Acting Dean of the Faculty of Science and Engineering from July 2013 to December 2013.
Assistant Professor Andre Rosendo
PI at ShanghaiTech University, China
Andre Rosendo’s research interests are related to evolutionary robotics, soft manipulation and robotic locomotion. Robots are increasingly present in our lives, and they must be safe to interact with humans while also being capable of adapting to our world. Andre's research combines walking robots capable of intelligently creating themselves, with safe humans/environment interactions through soft materials. His research output was recognized by one Discovery Channel special show, two IEEE Spectrum articles (here and here), and online articles (ENG, FRA, ITA, GER, CHI, POR, RUS, etc.). He has published more than 30 scientific papers in more than 10 IEEE conferences, was a program committee for MOD 2017, a keynote speaker for ICINCO 2017, and currently holds an Erdos number of 5. He was a Guest Editor for the IEEE Robotics and Automation Magazine and a referee for Science Robotics, IEEE Transactions on Robotics, IEEE Trans. on Mechatronics, IEEE Intl. Conf. on Intelligent Robots and Systems, and IEEE Intl. Conf. on Automation and Robotics.
Professor Beiji Zou
Central South University, China
Beiji Zou received his Bachler degree, master degree and doctor degree from Zhejiang University, Tsinghua University and Hunan University respectively. Currently, he is a Professor and the dean of the School of Information Science and Engineering, Central South University. His research interests include medical image analysis, computer graphics, and computer vison. He has authored over 120 refereed papers in international journals, books, and conferences, including ICCV, TIP and TCSVT, PR etc. He finished more than 30 research projects as the principal investigator. In 2016, he was named as a Distinguished Member of China Computer Federation. He also serves as an Editorial Board member for Chinese Journal of Electronics.
Topic: Retinal Fundus Image Analysis and Disease Prediction
Prof. Yi Guan
Harbin Institute of Technology
Prof./Dr. Yi Guan received the B.Sc. degree in computer science and technology from Tianjin University, Tianjin, China, in 1992, and the Ph.D. degree from the Harbin Institute of Technology, Harbin, China, in 1999. In 1996, he was an Invited Visiting Scholar with Canotec Co., Japan. In 2000, he was a Research Associate with the Human Language Technology Center, Hong Kong University of Science and Technology, Kowloon. In 2001, he was a Research Scientist with Weniwen.com, Hong Kong. In October 2001, he was an Associate Professor with the School of Computer Science and Technology, Harbin Institute of Technology. Since October 2006, he has been a Professor with the School of Computer Science and Technology, Harbin Institute of Technology and has become doctoral supervisor since 2007. He is the presenter of systematic similarity measurement theory and (co-)author of more than one hundred journal or proceeding papers and a book and the inventer of WI input method. He is also the owner of five Chinese patents and two American patents. His research interests include medical informatics, natural language processing, knowledge engineering.
Professor Linlin Shen
Shenzhen University, China
Director of Computer Vision Institute (2014-)
Linlin Shen received the B.Sc. degree from Shanghai Jiaotong University, China, and the Ph.D. degree from the University of Nottingham, Nottingham, England. He was a Research Fellow with University of Nottingham, working on MRI brain image processing. He is currently a Professor and the Director of the Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. His research interests include Deep Learning, facial recognition, analysis/synthesis and medical image processing. Prof. Shen was listed as the Most Cited Chinese Researcher by Elsevier, he received the Most Cited Paper Award from the journal of Imange & Vision Computing. His cell classificaiton algorithm was the winners of International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.
Assistant Professor Dengji Zhao
ShanghaiTech University, China
Dengji Zhao is an Assistant Professor at ShanghaiTech University, China. He received double Ph.D. (2012) degrees in Computer Science from University of Western Sydney and University of Toulouse 1 Capitole, and received double M.Sc. (2009) degrees in Computational Logic from Technische Universität Dresden and Universidad Politécnica de Madrid. Before joining ShanghaiTech, he was a postdoc (2013-2014) working with Prof. Makoto Yokoo (the first AAAI Fellow in Asia) and a research fellow (2014-2016) working with Prof. Nick Jennings (the first Regius Professor of Computer Science, UK). Most of Zhao’s research is on artificial intelligence (especially multi-agent systems) and algorithmic game theory (especially mechanism design and its applications in the sharing economy). He has received 上海青年东方学者(2017), The Best Ph.D. Thesis award (2012) from University of Toulouse, two champions of The International Trading Agent Competition Market Design Tournament (2009, 2011), and one Best Paper award from The Australasian Joint Conference on Artificial Intelligence (2010).
Professor Ke Tang
Southern University of Science and Technology
Professor IEEE CIS Outstanding Early Career Awardee
Royal Society Newton Advanced Fellow
PhD (Nanyang Technological University)
Computational Intelligence; Evolutionary Computation; Machine Learning
Imperial College, UK. CEO of Gold-Wood
His Gold-Wood use machine learning to improve efficiency of human learning. Gold-Wood is entailed the most investing value in China.
Professor Jianbing Shen
School of Computer Science, Beijing Institute of Technology
He is a Full Professor in Department of Computer Science and Technology, Beijing Institute of Technology (BIT). In September 2007, He got his Ph.D. from the Department of Computer Science (State Key Lab of CAD & CG), Zhejiang University. His current research interests include computer vision and machine learning. He has published about 70 journal and conference papers such as IEEE TPAMI, IEEE TIP, IEEE TVCG, IEEE TMM, IEEE CSVT, IEEE TCYB, IEEE CVPR, and IEEE ICCV. He also was the program committee member of over 10+ international conferences like ACM Multimedia, IEEE CVPR, and IEEE ICCV. He has also obtained many flagship honors including the Fok Ying Tung Education Foundation from Ministry of Education, the Program for Beijing Excellent Youth Talents from Beijing Municipal Education Commission, and the Program for New Century Excellent Talents in University from Ministry of Education. He worked as a visiting professor in the Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland in 2014, the College of Engineering and Computer Science, Australian National University, Canberra in 2015, and the Department of Computer Science, University of California, Los Angeles, USA in 2016. He is on the editorial boards of Elsevier Journal Neurocomputing, and he is a Senior Member of IEEE.
Professor Chen Gong
Nanjing University of Science and Technology, China
Chen Gong received his B.E. degree from East China University of Science and Technology (ECUST) in 2010, and dual Ph.D. degree from Shanghai Jiao Tong University (SJTU) and University of Technology Sydney (UTS) in 2016, under the supervision of Prof. Jie Yang and Prof. Dacheng Tao, respectively. Currently, He is a full professor in the School of Computer Science and Engineering, Nanjing University of Science and Technology. His research interests mainly include machine learning, data mining, and learning-based vision problems. He has published more than 30 technical papers at prominent journals and conferences such as IEEE T-NNLS, IEEE T-IP, IEEE T-CYB, IEEE T-CSVT, IEEE T-MM, CVPR, AAAI, IJCAI, ICDM, etc. He received the “National Scholarship” awarded by the Ministry of Education in 2013 and 2014, the “Excellent Self-financed Overseas Student Scholarship” awarded by China Scholarship Council in 2015, and the “IBM Excellent Student Scholarship” in 2015. He is also the recipient of “SJTU Excellent Doctorial Dissertation” awarded by Shanghai Jiao Tong University， and “Excellent Doctorial Dissertation” awarded by CAAI.
Professor Zongbo Hao
University of Electronic Science and Technology of China
Zongbo Hao is an associate professor of the University of Electronic Science and Technology of China (UESTC). He studied in Harbin Institute of Technology from 1996 to 2007 and received the doctor’s degree in 2007. He worked as an academic visitor in Queen Mary, University of London from January 2013 to January 2014. His main research fields are deep learning and its application in computer vision, such as video surveillance. His research results have been published in the top conferences such as ACM Multimedia and BMVC. He proposed the Subdivision-Fusion model, which achieved the state-of-the-art result on the action recognition dataset of Hollywood2. The method achieved an accuracy of 79.4%, outperforming the state-of-the-art of 64.3%. He also proposed the multi-task learning method which can achieve action detection without annotating the training videos. The method can not only improve the recogniton accuracy, but also save the annotation cost. Combined with face recogniton in surveillance systems, the technology can detect the anomaly and the suspectors’ ID simutaneously.
Associate Professor Xing Wu
Shool of Computer Engineering and Science, Shanghai University, China
Associate Professor, Department of Computer Science and Technology, Shanghai University,
Postdoctoral Fellow of Adelaide, Australia,
R&D Work at Ritsumeikan University, Japan
Associate Professor Baiquan Su
Director, Associate Professor, Medical Robotics Laboratory, School ofAutomation, Beijing University of Posts and Telecommunications
Post-doc Assistant Researcher, Department of Biomedical Engineering,School of Medicine, Tsinghua University
PhD Candidate, Robotics Institute, School ofMechanical Engineering and Automation, Beihang University
Research Interests: Medical Robotics, Medical-Engineering Interdiscipline
Dr. Ping Luo
Institute of Computing Technology, Chinese Academy of Sciences
Group of Intelligence Science
Data Mining and Knowledge Discovery. P2P data mining, distributed classification and clustering, grid computing for data mining workflows, inequality definition of partition entropy
Innovative Applications for Data mining. bioinformatics, cognitive informatics
Associate Professor Lin Zhang
School of Software Engineering, Tongji University, China
IEEE Senior Member
12/2014~present, Associate Professor, School of Software Engineering, Tongji University, Shanghai, China
08/2011~12/2014, Assistant Professor, School of Software Engineering, Tongji University, Shanghai, China
01/2011~08/2011, Research Assistant, Dept. Computing, The Hong Kong Polytechnic University, Hong Kong.
12/2005~01/2007 Software Engineer, Autodesk Inc., Shanghai, China.
04/2005~12/2005 Technical Supporter, Global Technical Support Center, Microsoft Inc., Shanghai, China.
2013, He was selected to the "2013 Shanghai Pujiang Program", Science and Technology Commission of Shanghai Municipality
2012, "Distinguished Teacher Award" from the Mingchuang Education Foundation, Tongji University
2012, "Best Paper Award (Hourarable Mention)" from the (journal of) Pattern Recognition, Elsevier
31, 2010, Silver Medal in the iENA (International Trade Fair for Ideas-Inventions-New Products) exhibition held at Nuremberg Germany for our system "Digital Image/ Video Quality Enhancement" (With Dr. Lei Zhang and Dr. Weisheng Dong)
Apr. 8, 2010 Gold Award in "Most Promising Researcher" Competition, Dept. of Computing, The Hong Kong Polytechnic University
Oct. 2002, Distinguished Student, Shanghai JiaoTong University
Associate Professor CHU Ying
College of Computer Science and Software Engineering, Shenzhen University
Shenzhen high-level talent. She received her Ph.D. in Information and Communication Engineering from Xi'an Jiaotong University in 2015 and is currently teaching at the Institute of Intelligent Technology and System Integration, Shenzhen University. In recent years, she has visited the University of Massachusetts Lowell, the University of Liverpool, and Xi'an Jiaotong University on several occasions.
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