SPML 2023

Keynote Speakers

Prof. De-Shuang Huang (IEEE Fellow / IAPR Fellow / AAIA Fellow)

Tongji University, China
De-Shuang Huang is a Professor in Institute of Machine Learning and Systems Biology, EIT Institute for Advanced Study, China. He is currently the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) in 2005. ICIC has since been successfully held annually with him serving as General or Steering Committee Chair. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 470 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 240 SCI indexed papers. His Google Scholar citation number is over 20300 times and H index 76. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics.

 

Prof. Jie Lu AO (IEEE Fellow, IFSA Fellow, Australian Laureate Fellow)
Director of Australian Artificial Intelligence Institute, University of Technology Sydney, Australia

Distinguished Professor Jie Lu is a world-renowned scientist in the field of computational intelligence, primarily known for her work in concept drift, fuzzy transfer learning, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, and Australian Laureate Fellow. Currently, Prof Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects as first chief investigator, and over 20 industry projects; and supervised 50 doctoral students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of two IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019 and 2022), NeurIPS2022 Outstanding Paper Award, Australia's Most Innovative Engineer Award (2019), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), and Officer of the Order of Australia (AO) in the Australia Day 2023.

 

Prof. Yiyu Yao

University of Regina, Canada (IRSS Fellow)
Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, web intelligence, rough sets, formal concept analysis, information retrieval, and data mining. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 500 papers. He was selected as a highly cited researcher by Clarivate from 2015 to 2019. His Google Scholar citation number is over 36,000, with an h-index 97 and i10-index 331.

Prof. Chin-Chen Chang (IEEE Fellow/ IEE Fellow)

Feng Chia University

Professor C.C. Chang obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005.
Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.
Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 1,100 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

 

Prof. Xiaofei Wang

Tianjin University, China

Prof. Xiaofei Wang, IEEE Senior Member, Professor, Doctoral supervisor in the College of Intelligence and Computing at Tianjin University, the Vice Dean of the School of Computer Science and Technology. He received M.S. and Ph.D degrees from the School of Computer Science and Engineering, Seoul National University in 2008 and 2013 respectively. He received the B.S. degree in the Department of Computer Science and Technology, Huazhong University of Science and Technology in 2005. Prof. Wang is recognized under National Talent Plan (Youth), and is a Distinguished Young Scholar of CCF Technical Committee on Distributed Computing and Systems. His contributions in the field of communication have been widely recognized, exemplified by the prestigious awards he has received, such as the 2017 IEEE Communications Society Fred W. Ellersick Prize for the Best Magazine Paper of the Year, and the 2022 IEEE Communications Society Outstanding Paper Award for the Asia-Pacific region. He is a laureate of the ACM Rising Star Award (Tianjin), the Peiyang Young Scholar in Tianjin University, and recipient of the First Prize of Tianjin Science and Technology, the second prize of Tianjin Teaching Achievement, and Tianjin Youth Science and Technology Award.

Prof. Wang’s research areas include edge computing theory, the integrated architecture of blockchain and edge intelligence, and edge-cloud collaborative computing power networks. He has published over 180 high-level scientific research papers (including over 90 SCI papers), among which include 36 papers in the SCI-JCR1/CCF-A, and 33 in SCI-JCR2/CCF-B. He has been cited in ESI high-impact papers 8 times, hot papers 3 times, with a total of 7600 citations on Google Scholar. Prof. Wang has applied for over 40 patents. He has been awarded the Best Paper Awards at academic conferences and journals over 10 times. He has served as the Associate Editor or Special Issue Editor for numerous top-level journals including IEEE COMST, IEEE JSAC, IEEE TNSE, IEEE IoTJ and so on.

Prof. Wang is responsible for projects, such as the Youth and the General Programs of the National Natural Science Foundation of China, the National Key R&D Program of the Ministry of Science and Technology, and so on. He has also been responsible for more than ten cooperative projects with well-known companies.