Keynote Speakers of AINLP
Prof. Xiangjian He
University of Nottingham Ningbo China
Professor
Xiangjian (Sean) He is a National Talent, and in list of the
'World Top 2%
Scientists' reported by Stanford Universiy and Elsevier in 2022, 2023,
2024etc. He is currently the Deputy Head of Computer Science School, the
Lead of Research Groups of the Faculty of Science and Engineering and the
Director of Computer Vision and Intelligent Perception Laboratory at the
University of Nottingham, Ningbo, China (UNNC). He has been responsible for
and hosted a number of Australian national ARC projects, including a major
national youth science and technology project (ARC-Discovery for early
career researchers), a major national science and technology project
(ARC-Discovery), and two major national joint innovation science and
technology projects (ARC-Linkage). He also participated in five China
Natural Science Foundation projects and two Hong Kong Research Foundation
projects as a core member.
He was an International Advisor for the Journal of the Hong Kong Institution
of Engineers, an associate editor of journals such as HCCIS and SNCS, an
editorial board member of several SCI journals, and a guest editor of
journals such as IEEE Transactions and Elsevier journals. He is an
International Expert of the Australian Research Council. He was the
Professor of Computer Science and the Leader of Computer Vision and Pattern
Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at
the University of Technology Sydney (UTS) from 2011-2022. He led the UTS and
Hong Kong Polytechnic University (PolyU) joint research project teams
winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for
the 2019 VIP Cup, awarded by IEEE Signal Processing Society. He has been
carrying out research mainly in the areas of computer vision, data analytics
and machine learning in the previous years. He has recently been leading his
research teams for deep-learning-based research for various applications. He
has published many papers including ESI highly cited papers in high-end
journals of Journal of the Association for Information Science and
Technology, ACM Computing Surveys, IEEE Transactions (such as TPAMI, TII,
TDSC, TNSE, TMC, TPDS, TMM, TC, TCSVT, TITS, TCC, TR, TCE, etc.) and
Elsevier (such as PR, SP, AC, IS, FGCS, Neurocomputing, CN, CSS, NCP, etc.),
as well as in top conferences such as AAAI, ACL, IJCAI, CVPR, ECCV, ACM MM,
WACV, etc. He has played various chair roles in many international
conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE BigDataService,
IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE ICPR and IEEE ICARCV.
Prof. Xiaoli Li (IEEE Fellow, AAIA Fellow)
Nanyang Technological University, Singapore
Xiaoli is
currently the Department Head and Senior Principal Scientist at the
Institute for Infocomm Research, A*STAR, Singapore. He also serves as an
adjunct full professor at the School of Computer Science and Engineering,
Nanyang Technological University, Singapore. With a diverse range of
research interests, Xiaoli focuses on cutting-edge areas such as AI, data
mining, machine learning, and bioinformatics. His contributions to these
fields are evident through his extensive publication record, boasting over
370 peer-reviewed papers, and the recognition he has received, including
over ten best paper awards. He has been serving as Editor-in-chief of the
Annual Review of Artificial Intelligence and an Associate Editor for
prestigious journals like IEEE Transactions on Artificial Intelligence and
Knowledge and Information Systems, as well as conference chairs and area
chairs of leading AI, machine learning, and data science conferences, such
as AAAI, IJCAI, ICLR, NeurIPS, KDD, ICDM etc. Beyond academia, Xiaoli
possesses extensive industry experience, where he has successfully
spearheaded over 10 R&D projects in collaboration with major industry
players across diverse sectors, such as aerospace, telecom, insurance, and
professional service companies. Xiaoli is an IEEE Fellow and Fellow of
Asia-Pacific Artificial Intelligence Association (AAIA). He has been
recognized as one of the world's top 2% scientists in the AI domain by
Stanford University, Clarivate's Highly Cited Researcher, and one of the top
ranked computer scientists by Research.com.