Prof. Weijia Jia
Beijing Normal University at Zhuhai, China
Speech Title: Effective Edge-LLM Computing
Abstract: Edge Computing (EC) is a flexible architecture to
support distributed domain-specific applications with
cloud-like quality of service. However, current EC still
lacks the effective support mechanism when facing many
heterogeneous task requirements with diversified QoS. Such
quality support mechanism can be critical for industrial
internet and smart city applications. Due to the features of
lightweight and easy deployment, the use of containers has
emerged as a promising approach for EC. Before running the
container, an image composed of several layers must exist
locally. However, it has been conspicuously neglected by
existing work that task scheduling at the granularity of the
layer instead of the image can significantly reduce the task
completion time to further meet the real-time requirement
and resource efficiency in resource-limited EC. Based on the
observations, this talk will introduce our recent
investigations on novel task/container layer scheduling
algorithms in the heterogeneous EC environments working with
LLM efficiently.
Weijia Jia is currently the Director of Institute of
Artificial Intelligence and Future Networking, and the
Director of Super Intelligent Computer Center, Beijing
Normal University (BNU, Zhuhai); also a Chair Professor at
UIC, Zhuhai, Guangdong, China. He has served as the VP for
Research at UIC in 6/2020-7/2024. Prior joining BNU, he
served as the Deputy Director of State Kay Laboratory of
Internet of Things for Smart City at the University of Macau
and Zhiyuan Chair Professor at Shanghai Jiaotong University,
PR China. He received BSc/MSc from Center South University,
China in 82/84 and PhD from Polytechnic Faculty of Mons,
Belgium in 93, respectively; all in computer science. For
93-95, he joined German National Research Center for
Information Science (GMD) in Bonn (St. Augustine) as a
research fellow. From 95-13, he worked in City University of
Hong Kong as a professor. His contributions have been
recoganized for the research of edge AI, optimal network
routing and deployment; vertex cover; anycast and multicast
protocols; sensors networking; knowledge relation
extractions; NLP and intelligent edge computing. He has over
700 publications in the prestige international
journals/conferences and research books and book chapters.
He has received the best product awards from the
International Science & Tech. Expo (Shenzhen) in 2011/2012
and the 1st Prize of Scientific Research Awards from the
Ministry of Education of China in 2017 (list 2), and top 2%
World Scientists in Stanford-list (2020-2024) and many
provincial science and tech awards. He has served as area
editor for various prestige international journals, chair
and PC member/keynote speaker for many top international
conferences. He is the Fellow of IEEE and the Distinguished
Member of CCF.
Prof. Jie Zhang
Speech Title: Next-Generation Optical Networks and
Artificial Intelligence
Jie Zhang is a Doctoral
Supervisor, Executive Dean of School of Integrated Circuits
at BUPT, Deputy Director of State Key Laboratory of
Information Photonics and Optical Communications, and Head
of Advanced Discipline of Beijing Universities for
Information Materials Science and Engineering. One of
experts with special government subsidies from the State
Council, national candidates for the Hundred Thousand
Talents Project, young and middle-aged experts with
outstanding contributions, fellow members of CIC,
outstanding teachers in Beijing, winners of the
commemorative medal for the 70th anniversary of the founding
of the China and the capital labor medal. He has been
engaged in research, development, and application of optical
networks, and has won 3 national science and technology
awards and more than 10 provincial-level and first-class
academic awards. His achievements has been selected for the
National 12th Five Year Plan Science and Technology
Innovation Achievement Exhibition.
Prof. Sang-Wook Kim
Speech Title: Recommendation Systems: Concepts,
Issues, and Techniques
Sang-Wook Kim received his Ph.D. degree in Computer Science from the Korea Advanced Institute of Science and Technology (KAIST) in 1994. In 2003, he joined Hanyang University, Seoul, Korea, where he is currently a professor at the Department of Computer Science & Engineering. He has been recognized as a distinguished professor at Hanyang University in 2019. He has been a director of the Brain-Korea-21 research program since 2014 and has also been leading a National Research Lab and SW STAR Lab Projects from 2015 and 2022, respectively. His research interests include databases, data mining, social network analysis, recommendation, and web data analysis. From 2009 to 2010, Professor Kim visited the Computer Science Department at Carnegie Mellon University as a Visiting Professor. From 1999 to 2000, he worked with the IBM T. J. Watson Research Center as a Post-Doc. He also visited the Computer Science Department of Stanford University as a Visiting Researcher in 1991. He is the author of over 200 papers in refereed international journals and international conference proceedings. He served on Program Committees of over 100 international conferences including ACM KDD, ACM SIGIR, IEEE ICDE, IEEE ICDM, VLDB, WWW, and ACM CIKM. He is now an associate editor of two international journals: Information Sciences and Computer Science & Information Systems (ComSIS). He received the Presidential Award of Korea in 2017 for his academic achievement and he is currently a member of the National Academy of Engineering of Korea since 2019. He is also a member of the ACM and the IEEE.
© 2020-2024 5th International Conference on Computers and Artificial
Intelligence Technologies--cait_conference@163.com. Keynote Speaker
II
Beijing University of Posts and Telecommunications, China
Abstract: Currently, the global wave of artificial
intelligence is driving a surge in demand for emerging
computing power. As the support base of ICT infrastructure,
optical networks continue to evolve and develop, providing
low latency and high reliability all-optical quality and
capacity for distributed computing power, accelerating the
cloud computing and resource collaboration of intelligent
computing power, and empowering innovative applications in
the industry. This report will discuss the key technologies
of next-generation optical networks and artificial
intelligence, and analyze the application scenarios of AI
based control and management aimed at the automation and
intelligent operation and maintenance needs of optical
networks, in order to promote high-quality development of
the digital economy and accelerate industrial prosperity.Keynote Speaker
III
Hanyang University, Republic of Korea
Abstract: These days, we have a large number of online items
such as products, content, and people around us, which makes
users face difficulties in choosing the items that they
prefer. Good matching of each user to her/his preferred
items is a very important task to enhance users’
satisfaction and companies’ profit, highlighting the
necessity of recommendation systems. The recommendation
system analyzes the characteristics of users’ past behaviors
and then predicts the items with which individual users
would be truly satisfied based on the analysis result. In
this talk, we first introduce recommendation systems and
discuss their key issues and techniques. We start with the
concept of recommendation systems and introduce their
real-world applications in a variety of business fields.
Next, we classify recommendation systems into three
categories: content-based, collaborative-filtering-based,
and trust-based approaches. Then, we describe a variety of
machine-learning techniques employed in recommendation
systems to provide users with better experiences. Finally,
we present the state-of-the-art techniques for recommender
systems recently developed at Hanyang University and show
their effectiveness and efficiency with experimental results
obtained from the extensive evaluation.
