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.