CAIT 2024 | 5th International Conference on Computers and Artificial Intelligence Technologies

Prof. Weijia Jia
Beijing Normal University at Zhuhai, China

Weijia Jia is currently a Vice President and Chair Professor at Beijing Normal University (BNU)-Hong Kong Baptist University (HKBU) United International College (UIC) and a Professor at Beijing Normal University (BNU), Zhuhai, Guangdong, China. He also serves as the Director of Joint BNU-UIC Institute of Artificial Intelligence and Future Networking. Prior joining BNU/UIC, he served as the Chair Professor and Deputy Director of the State Kay Laboratory of Internet of Things for Smart City at the University of Macau and Zhiyuan Chair Professor at the Shanghai Jiaotong University, PR China. He received BSc/MSc from Center South University, China in 1982-1984 and PhD from Polytechnic Faculty of Mons (now with the University of Mons), Belgium in 1991-1993, respectively; all in computer science. For 1993-1995, he joined German National Research Center for Information Science (GMD) in Bonn (St. Augustine), Germany as a research fellow. From 1995-2013, he worked in City University of Hong Kong as an Assit./Assoc./full professor. His contributions have been recognized as the theory and algorithms of AI (NLP in particular) optimal network routing and deployment, intelligent edge computing, vertex cover, anycast and multicast protocols, sensors networking, and knowledge relation extractions. He has over 500 publications in the prestige international journals/conferences (e.g. IEEE/ACM Transactions/journals, Infocom, AAAI etc.) and research books and book chapters. His current H-index is 67 (Google scholar, citations 15000+). He received the 1st Prize of Scientific Research Awards from the Ministry of Education of China in 2017 and many provincial science and technology awards. He has guided the students to attain 30+ top prizes in various top international conferences and AI competitions. Based on his research outcome and input into the system implementations, he received the best product awards from the International Science & Tech. Expo (Shenzhen, China) in the consecutive years of 2011 and 2012. He has served as area editor for various prestige international journals (e.g. IEEE Transactions on Parallel and Distributed Computing and Computer Communications), chair and PC member/keynote speaker for top international conferences. He has been recognized as Chinese National Expert and listed in 2020-2022 as Top 2% of life Scientists on Stanford List. He is the Fellow of IEEE and the Distinguished Member of China Computer Federation (CCF).

Prof. Jie Zhang
Beijing University of Posts and Telecommunications, China

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
Hanyang University, Republic of Korea

Speech Title:  Recommendation Systems: Concepts, Issues, and Techniques
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.

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.