Keynote Speaker I

Prof. Irwin King, The Chinese University of Hong Kong, Hong Kong (IEEE Fellow)

Professor Irwin King is a globally recognized scholar in the field of machine intelligence, currently serving as the Pro-Vice-Chancellor (Education) and Professor at the Department of Computer Science & Engineering at The Chinese University of Hong Kong. His extensive research interests encompass a wide range of areas, including trustworthy AI, machine learning, social computing, AI, and data mining. Professor King is a Fellow of esteemed societies and associations, such as the ACM, IEEE, AAAI, and INNS. Throughout his career, he has assumed various leadership roles in numerous prominent conferences and societies. Notably, he held the position of President of the International Neural Network Society, General Co-chair for conferences such as WebConf 2020, ICONIP 2020, ACML 2015, RecSys 2013, and WSDM 2011. Additionally, he has held leadership capacities in conferences such as WWW, NIPS, ICML, IJCAI, AAAI, and ICONIP. Presently, Professor King continues to serve as the Vice-President of the ACM SIGWEB, the Vice-President of the WebConf Steering Committee, and a board member of the International Neural Network Society (INNS) and Asia Pacific Neural Network Society (APNNS). Professor King has received numerous prestigious awards for his contributions to the field of machine intelligence. Notable accolades include the 2021 INNS Dennis Gabor Award for engineering applications of neural networks, the 2020 APNNS Outstanding Achievement Award, and several Test of Time Awards from ACM conferences such as CIKM2019, SIGIR 2020, and WSDM 2022. During his sabbatical leave at AT&T Labs Research in San Francisco, he was a Visiting Professor and taught classes at UC Berkeley.

 

 

Keynote Speaker II

Prof. Zheng Yan, Xidian University, China (IEEE Fellow)

Dr. Zheng Yan is currently a Huashan distinguished professor at the Xidian University, China. She is an External Member of Finnish Academy of Science and Letters, a Fellow of IEEE, IET, AAIA, and AIIA.She received the B. Eng in electrical engineering and M. Eng in computer science and engineering from Xi’an Jiaotong University in 1994 and 1997. She received a second M. Eng in information security from National University of Singapore in 2000. She earned the Licentiate of Science and the Doctor of Science in Technology in electrical engineering from Helsinki University of Technology (i.e., Aalto University) in 2005 and 2007. She joined the Nokia Research Center, Helsinki in 2000, working as a senior researcher until 2011. She also worked as a visiting professor and a Finnish Academy Fellow at the Aalto University, Finland for over seven years. Her research interests are in cyber trust, security, privacy, and data analytics. She has led 30+ projects, sponsored by EU, Academy of Finland, NSFC, MOST, telecom industry, etc. At the helm of a research team with 70+ members, she has supervised 180+ post-doctoral researchers and graduates. She has authored 460+ publications, with 300+ first and corresponding authorships, featured prominently in top-tier venues. 18 of them are top 0.1% or 1% highly-cited ESI papers. She is the sole author of two books on trust management, utilized in teaching for a decade. She invented 220+ patents, among which 150+ patents (including 83 independent  international inventions) have been adopted by industry, a few of them have been incorporated into international standards and widely used in practice with billions of users. She has delivered 50+ invited keynote speeches and talks at international conferences and world-leading companies. Her Google Scholar citation is over 21,000 with an H-index of 72.

 

 

Keynote Speaker III

Prof. Philippe Fournier-Viger, Shenzhen University, China

Prof. Philippe Fournier-Viger is a full professor at the Big Data Institute of Shenzhen University, China. He earned his Ph.D. five years prior to joining Shenzhen University in 2015 as a national talent program awardee. He has published over 400 papers on data mining algorithms for complex data (sequences, graphs), intelligent systems, and applications, amassing more than 16,000 citations (Google Scholar H-index 63). Prof. Fournier-Viger is the creator of the SPMF data-mining library, offering over 260 pattern-detection algorithms, cited in more than 1,000 scientific articles. He served as Associate Editor of Applied Intelligence, has delivered keynote lectures at over 50 international conferences, and co-edited four Springer books. Recognized among the top 0.3% of influential scientists by Stanford University, he received the “Most Influential Paper” award at PAKDD 2024 and seven international Best Paper awards.

 

 

Keynote Speaker IV

Prof. Yoshifumi Manabe, Kogakuin University, Japan

Yoshifumi Manabe was born in 1960. He received his B.E., M.E., and Dr.E. degrees from Osaka University, Osaka, Japan, in 1983, 1985, and 1993, respectively. From 1985 to 2013, he worked for Nippon Telegraph and Telephone Corporation. From 2001 to 2013, he was a guest associate professor of Graduate School of Informatics, Kyoto University. Since 2013, he has been a professor of the Faculty of Informatics, Kogakuin University, Tokyo, Japan. His research interests include distributed algorithms, cryptography, game theory, and graph theory. Dr. Manabe is a member of ACM, IEEE, IEICE, IPSJ, and JSIAM.