Speakers

Prof. Xinwei Yao

Zhejiang University of Technology, China

Bio: Dr. Xin-Wei Yao is a Professor in the School of Computer Science and Technology (School of Software Engineering), and the Vice Dean of the Institute for Frontiers and Interdisciplinary Sciences,  the director of the Smart Crowd Sensing and Collaboration (SCC) at Zhejiang University of Technology (ZJUT), Hangzhou, China. He received a B.E. degree in Mechanical Engineering from ZJUT in 2008. From March 2012 to February 2013, he was a visiting researcher at the Department of Computer Science at the Loughborough University, UK. He received the Ph.D. degree in Computer Science and Technology from ZJUT in December 2013. From August 2015 to August 2016, he was a visiting Professor at the Department of Electrical Engineering at the State University of New York at Buffalo, USA.

His research interests are in the Artificial Intelligence of Things (AIoT), Smart Crowd Sensing and Collaboration, Wireless Nano-Bio-communication Networks, Generalized Artificial Intelligence, Internet of Things (IoT) and so on. In these areas, he has co-authored more than 100 peer-reviewed scientific publications, including three books in English and two books in Chinese, and more than 20 authorized national invention patents in China. He is serving as the leading PI on multiple grants from Chinese Government including the National Natural Science Foundation of China (NSFC), Zhejiang Provincial Science and Technology Department, and the corresponding Industry (leading enterprises). He received the Wu Wen Jun AI Excellent Young Scientist Award (the first youth to receive the award in Zhejiang Province) in 2018, Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars in 2022, and is the recipient of several other awards from the Goverment, CAAI, CNCA and ZJUT.

Prof.Xiangbo Shu

Nanjing University of Science and Technology, China

Bio: Xiangbo Shu is currently a Professor at the School of Computer Science and Engineering, Nanjing University of Science and Technology, China. He received his Ph.D. degree from Nanjing University of Science and Technology, in 2016. From 2014 to 2015, he worked as a visiting scholar at the National University of Singapore, Singapore. His current research interests include Computer Vision, and Multimedia. He has authored over 90 journal and conference papers in these areas, including IEEE TPAMI, IEEE TNNLS, IEEE TIP, CVPR, ICCV, ECCV, and ACM MM, etc. He has received the Best Student Paper Award in MMM 2016, and the Best Paper Runner-up in ACM MM 2015. He is also the Senior Member of CCF, the Member of ACM, and the Senior Member of IEEE. He is also severed as Associate Editor of IEEE TCSVT, Information Sciences, and The Visual Computer.

Title:Human Action Intelligent Understanding in Videos

Abstract：Video data continues to show explosive growth in the network and physical space, human action understanding is the main object of video content understanding, as well as one of the core technology requirements in human-computer interaction, security monitoring, virtual reality and other fields. In many realistic scenarios, the performance and reliability of human action understanding models need to be improved due to the limitation of data size, lack of training data, and attack of data. Based on this, this report will explore the human action understanding in open scenarios with limited labeled data, focusing on: Spatiotemporal co-attention representation learning, data augmentation and representation  learning, multi-granularity contrastive representation learning, pyramid self-supervised polymerization learning, and attack-augment representation learning, which can be applied to solve human behavior prediction and recognition tasks in semi/unsupervised scenarios.

Prof. Qiang Chen

Nanjing University of Science and Technology, China

Bio: Qiang Chen received his doctoral degree from Nanjing University of Science and Technology and completed his postdoctoral research at Stanford University. He is a professor and doctoral supervisor at the School of Computer Science and Engineering/Artificial Intelligence Institute at Nanjing University of Science and Technology. He is a Senior Member of CCF and an editorial board member of "Frontiers in Medicine" and "Journal of Image and Graphics". He has served as an excellent reviewer for several journals such as Transactions on Medical Imaging and Acta Automatica. His research work mainly focuses on image processing, computer vision, and pattern recognition. He has published over a hundred papers in journals and conferences including MedIA, TMI, Ophthalmology, and MICCAI. and his publications have received over 3500 citations on Google Scholar. He has also been granted more than twenty national patents. 

Qiang Chen has been honored with the Second Prize of Jiangsu Science and Technology Award (ranked 2nd), the title of "333 Project" Talents in Jiangsu Province, the title of Excellent Young Backbone Teacher in Jiangsu Province Qinglan Project, and the Jiangsu Province Six Talent Peaks Award.

Prof. Chunquan Li

Nanchang University, China

Bio: Chunquan Li received his Ph.D. from Nanchang University in 2014. He is currently a Professor, Ganjiang Distinguished Professor, and Deputy Director of Jiangxi Provincial Key Laboratory of Intelligent Information System, School of Information Engineering, Nanchang University, Nanchang, China. He was also a a Visiting Professor with the Department of Systems and Computer Engi neering, Carleton University, Ottawa, ON, Canada.

Prof. Li’s research interests include Haptics interaction, virtual surgery, teleoperation robots, intelligent human-machine interaction, computational intelligence, and their applications to biomedical engineering and human-machine interaction. He has published more than 50 publications in international journals like IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics,  IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE-ASME Transactions on Mechatronics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Cognitive and Developmental Systems etc., and serves as reviewers for several top international journals and conferences. 

He has received various awards: Baogang National Excellent Teacher Award, IEEE Third Prize in "Online Data Driven Optimization" , the second prize of Jiangxi science and technology progress, etc.