Speakers

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, Nanyang Technological University, Singapore

IEEE Fellow, AAIA Fellow

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.