Keynotes of CVIT2023

Prof. Demetri Terzopoulos |  (ACM Fellow, IEEE Fellow, Fellow of the Royal Society of London, Fellow of the Royal Society of Canada)英国皇家科学院院士, 加拿大皇家科学院院士， 欧洲科学院院士, IEEE终身会士

University of California, Los Angeles, USA 美国加州大学洛杉矶分校校长讲座教授
 

Speech: Biomimetic Human Simulation With Neural Deep Learning of Active Musculoskeletal and Visuomotor Control

Abstract: Realistic computer simulation of the human body — not just the bones, joints, and muscles, but also the sensory organs and, of course, the brain— is a grand challenge in robotic science and the quest for artificial intelligence/life. In this context, I will present our advances in biomimetic human simulation and sensorimotor control. Our framework features an unprecedentedly detailed biomechanical human musculoskeletal model actuated by more than 800 muscles, with functional eyes whose retinas have numerous nonuniformly-distributed photoreceptors. This bio-inspired perceptual apparatus feeds the sensorimotor center of our virtual human's brain, which currently incorporates two dozen (deep) neural networks, organized as a neurovisual sensory subsystem that drives a neuromuscular motor subsystem. Synthesizing its own motor and visual training data, our autonomous virtual human learns efficient and robust active visuomotor control of its eyes, head, torso, and limbs to perform a variety of nontrivial sensorimotor tasks never previously achieved in realistic biomechanical human simulations or anthropomimetic robotics.

Biography: Demetri Terzopoulos is a Distinguished Professor and Chancellor's Professor of Computer Science at the University of California, Los Angeles, where he directs the UCLA Computer Graphics & Vision Laboratory. He is also Co-Founder and Chief Scientist of VoxelCloud, a multinational company that applies artificial intelligence to healthcare. He received his PhD degree ('84) in Artificial Intelligence from MIT. He is or was a Guggenheim Fellow, a Fellow of the ACM and IEEE, a Fellow of the Royal Society of London and the Royal Society of Canada, among other organizations. His research is primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life. His many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering work on physics-based computer animation, and IEEE's Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished!

Researcher Award for his pioneering and sustained research on deformable models and their applications. Prior to joining UCLA in 2005, he held a chaired professorship in computer science and mathematics at New York University, and previously he was a professor of computer science and electrical and computer engineering at the University of Toronto.

 

 

Prof. Tao Zhang | 张涛教授 北京欧美同学会副会长，北京市院士专家电子分会会长，北京市海外高层次人才“海聚工程”特聘专家，国家中关村科技示范创业基地“高端领军人才”

North China University of Technology, China 北方工业大学
 

Speech: Internet of things Full Scene Smart Community Comprehensive Services and Demonstration Applications  

Abstract: "The community is the grass-roots foundation. Only with a solid foundation can the national building be stable.""Strengthen the construction of community service capacity, better provide accurate and refined services for the masses, create a community governance pattern of co-construction, co-governance and sharing, and effectively enhance the residents' sense of gain, happiness and security“____Xi JinPing.
The smart community has a large number of smart devices and terminals, and generates massive data and diversified service scenarios, providing a platform for the integrated development of various elements of the "new infrastructure". The smart community integrates the big data of underwear, food, housing and transportation in the shared area, optimizes the resource allocation of "new infrastructure", improves the government's ability to make quick decisions and personalized services, and provides a comprehensive carrier for the development of "new infrastructure". For the whole scenario of community public safety, livelihood services and comprehensive governance, the technical system based on Risk Intelligent Research and judgment, intelligent enjoyment of livelihood services, and intelligent and accurate governance urgently needs to be improved. The integrated community comprehensive service platform based on 5G, edge computing, artificial intelligence, blockchain and other new technologies has not been formed. The scientific, refined, and intelligent security, service, and governance capabilities of communities urgently need to be improved. Based on new generation technologies such as "cloud, big, physical, mobile, intelligent, and chain", we aim to innovate the mechanism, technology, and culture of smart communities in the new era, facing the full range of community public safety, livelihood services, and comprehensive governance scenarios, and create a model of safe, intelligent, and reassuring communities.

Biography: Professor Zhang Tao, doctoral supervisor, and project leader of the National Key R&D Program's key project "Internet of Things Full Scene Smart Community Comprehensive Service and Application Demonstration". The Central Organization Department has introduced overseas high-level talents as the "National Key Talent Project Expert", Vice President of the Beijing Europe and America Alumni Association, President of the Beijing Academician Expert Electronics Branch, Special Expert of the Beijing Overseas High Level Talents "Sea Gathering Project", "High end Leading Talent" of the National Zhongguancun Science and Technology Demonstration and Entrepreneurship Base, and Beijing International "High end International Talent" Award. He once served as the chief architect of the computer expert system of Volkswagen, and designed and developed the TCX simulation expert system for Volkswagen by using deep learning neural network and Big data processing technology. The expert system saves 1 billion euros for Volkswagen every year, and the system won the Volkswagen Technology Innovation Award. He used to be a senior consultant of IBM's banking business in the United States, and has rich successful experience in the application of bank Big data technology. He designed the top-level architecture of IBM's Personal finance products in the bank, helping IBM to have major markets and customers in the bank's Big data business. Once served as Vice President of Technology and Operation Department of Bank of America, designed and developed the bank's customer risk rating and customer credit credit system using Big data technology. Up to now, Bank of America still uses his customer line rating and credit credit system developed by my leadership, and the system has won the outstanding contribution award of Bank of America. Main research directions: 1. Application of neural network deep learning in Big data analysis, event triggering and process collaborative driving, Knowledge graph, rule inference engine, data consistency and integration Big data and Data Mining&Analysis; 2. Research and application of "data middle ground" core algorithm model, data Feature engineering, data governance engineering, data tag portrait, Knowledge graph, intelligent decision engine architecture design and construction, providing 360 dimensional support for application scenarios. Lead the design, development and online implementation of 28 intelligent application systems in the whole process, which are: 1. intelligent financial risk prevention and control, 2. urban brain, 3. safe city, 4. intelligent transportation, 5. intelligent medical care, 6. intelligent government, 7. intelligent manufacturing, 8. intelligent travel services, 9. intelligent community, 10. intelligent social governance and other industrial applications, providing the most advanced design and construction of the Internet of Things and Big data intelligent application platform. National Gold Shield Engineering Technology Expert, National Development and Reform Commission Information Technology Construction Key Project Expert, Key Research and Development Plan Key Special Project Leader of the Ministry of Science and Technology of China, National Natural Science Foundation Expert, Doctoral Dissertation Review Expert of the Academic Committee of the Ministry of Education, and Entrepreneurship Guidance Teacher for Overseas Chinese Students from the Ministry of Human Resources and Social Security. He is a cutting-edge technology leader in the field of artificial intelligence applications and has been invited to serve as the President of the International Artificial Intelligence Conference for 6 times.

 

Prof. Haijun Zhang | 张海君教授 (IEEE Fellow, IET Fellow, Distinguished Lecturer of IEEE)IEEE会士, IET会士, IEEE通信学会杰出讲师)

University of Science and Technology Beijing, China 北京科技大学
 

Speech: 6G Network Resource Optimization

Abstract: This talk will identify and discuss technical challenges and recent results related to 6G mobile network resource optimization. The talk is mainly divided into four parts. The first part will introduce 6G mobile networks, discuss about the 6G mobile networks architecture, and provide some main technical challenges in 6G mobile networks. The second part will focus on the issue of resource management in 6G networks and provide different recent research findings that help to develop engineering insights. The third part will address the machine learning and deep learning method based future 6G networks and address some key research problems. The last part will summarize by providing a future outlook of 6G mobile network optimization.

Biography: Haijun Zhang is currently a Full Professor and Associate Dean in School of Computer and Communications Engineering at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom'19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of GameNets'16. He serves/served as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Network Science and Engineering. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019. He is a Distinguished Lecturer of IEEE and a Fellow of IEEE.