Track Chair of Track 1:

 

 

Prof. Qi Liu
South China University of Technology, China

Qi Liu is currently a Professor with the School of Future Technology at South China University of Technology. Dr. Liu received a Ph.D degree in Electrical Engineering from City University of Hong Kong, Hong Kong, China, in 2019. During 2018 - 2019, he was a Visiting Scholar at the University of California Davis, CA, USA. From 2019 to 2022, he worked as a Research Fellow in the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. His research interests mainly focus on multimodal perception, reconstruction, and generation, including target estimation, sparse perception, 3D scene reconstruction/rendering/generation/editing, music generation and editing, human-object interaction, etc. Dr. Liu has published over 50 papers in peer-reviewed journals and conferences, including IEEE TFS、TCYB、TCSVT、IoT-J、ICCV、ACL、CVPR、AAAI, etc., and has been an Associate Editor of the IEEE Systems Journal (2022-), and Digital Signal Processing (2022-). He was also Guest Editor for the IEEE Transactions on Consumer Electronics, IEEE Internet of Things Journal, IET Signal Processing, etc. He received the Best Paper Award from IEEE ICSIDP in 2019 and ICCBD+AI in 2024.

 

 

Assoc. Prof. Haoxi Zhang
Chengdu University of Information Technology, China

Prof. Haoxi Zhang is an Associate Professor at Chengdu University of Information Technology, China. He holds a Ph.D. in Knowledge Engineering from the University of Newcastle, Australia (2013), and a Master’s in Software Engineering from the University of Electronic Science and Technology of China. Prof. Zhang's research intricately melds artificial intelligence with healthcare, focusing on the development of advanced computational models and machine learning algorithms for biomedical data analysis, particularly medical imaging and AIoT for healthcare, to enhance medical decision-making. His work emphasizes developing multimodal learning algorithms to integrate multi-scale biomedical data for comprehensive disease management, constructing real-world learning systems for creating robust, trustworthy representations from imperfect medical data, and innovating causality-driven learning algorithms to boost interpretability and safety in healthcare applications. Prof. Zhang has published over 40 refereed papers in leading journals and conferences.

 

 

 

 

Track Chair of Track 2:

 

Prof. Chen Cen
South China University of Technology, China

Chen Cen is a Professor and Ph.D. advisor at the School of Future Technology, South China University of Technology. He is a Senior Member of IEEE, a recipient of the National Youth Talent Program (Overseas), listed among the Global Top 2% Scientists, selected as a Young Top Talent in Guangzhou’s “Talent Convergence Program,” and recognized as an AI3 Artificial Intelligence Talent in Singapore.
His main research interests include high-performance intelligent computing, parallel and distributed computing, with a focus on AI software-hardware co-design and architectural design. He has published 45 papers as first author or corresponding author, including 24 in IEEE/ACM Transactions and CCF-A journals, and 10 in CCF-A conferences, and holds 16 authorized patents.
He has led 11 projects, including both national research grants and industry–academia collaborations. Currently, he serves as an editorial board member for the international journals IEEE Transactions on Computers (a CCF-A journal) and Alexandria Engineering Journal.

 

 

 

 

 

Track Chair of Track 3:

 

Dr. Huihui Fang (Research Scientist)
Nanyang Technological University, Singapore

Dr. Huihui Fang received her B.S. and Ph.D. degrees from Beijing Institute of Technology, China, in 2015 and 2020, respectively. She is currently a research scientist at the Alibaba-NTU Global e-Sustainability CorpLab, Nanyang Technological University, Singapore. Dr. Fang has authored 29 papers in leading international journals and conferences, including Science Bulletin, IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Circuits and Systems for Video Technology, and MICCAI. She holds 13 Chinese patents, and has served as a co-editor for 2 proceedings books. She is a Guest Editor for 3 international journals. Dr. Fang led the drafting and publication of 2 AI technology application guidelines and contributed to the formulation of 3 group and international standards for AI technology applications. She has served as the Chair for the MICCAI OMIA workshop (2023-2025) and MICCAI Challenges (2021 GAMMA, 2022 GOALS, 2023 STAGE, 2024 STAGE2, 2025 GAVE). As an active reviewer, Dr. Fang has provided expertise for numerous international journals, including IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Networks and Learning Systems, Expert Systems with Applications, Artificial Intelligence in Medicine, Frontiers Series, etc. She has also reviewed for top-tier conferences such as ICML, MICCAI, ISBI, ICASSP, ICONIP, and PRCV.

 

 

 

 

 

Track Chair of Track 4:

 

Prof. Yanwu Xu
South China University of Technology, China

Dr. Yanwu Xu is a Tenured Professor at South China University of Technology, former Chief Scientist of Baidu's Intelligent Healthcare division, and a researcher at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Pazhou Laboratory). He serves as an expert on the World Health Organization’s Digital Health Advisory Board, an Adjunct Professor at the Singapore Eye Research Institute, and a Senior Member of IEEE. Additionally, he holds the position of Vice Chair of the Digital Imaging and Intelligent Healthcare Committee of the China Medical Education Association, and is a Standing Committee member of both the Digital Medicine Branch of the China Computer Federation (CCF) and the Intelligent Ophthalmology Branch of the China Medical Education Association.
With over 160 publications in international journals and conferences (including more than 30 papers in top-tier journals with impact factors exceeding 10 and 4 highly cited papers), his work has been cited more than 12,000 times on Google Scholar, and he has an H-index of 50. Dr. Xu was instrumental in securing China’s first multi-disease AI Class III medical device certificate (also the country’s first AI-based glaucoma diagnosis Class III certificate). This achievement was recognized as one of the “Top Ten Advances in Chinese Ophthalmology in 2021” and was shortlisted in the first “AI Medical Device Innovation Task List” jointly organized by the Ministry of Industry and Information Technology and the National Medical Products Administration in 2022.
He has been appointed as a Distinguished Expert under the Ministry of Public Security’s Talent Introduction Initiative, as well as a Distinguished Expert of Zhejiang Province and Beijing Municipality. For three consecutive years, he has been named to the “World’s Top 2% Scientists” list published by Stanford University.

 

 

 

 

 

Track Chair of Track 5:

 

Prof. Fan Yang
Shandong University, China

Fan Yang, Professor and Doctoral Supervisor at Shandong University. He is a Taishan Scholar Young Expert of Shandong Province, Vice President of the National Institute of Health and Medical Big Data, and Executive Deputy Director of the Shandong Provincial Engineering Research Center for Digital Intelligence and Active Health. He serves as a review expert for the Ministry of Science and Technology’s HJ Talent Program, an evaluation expert for talent positions in the biopharmaceutical industry under the Ministry of Industry and Information Technology, and a Distinguished Professor at Chongqing University of Posts and Telecommunications and Shandong Normal University. He is also a Senior Member of the China Computer Federation (CCF).
Yang holds editorial positions including Associate Editor of Biomedical Informatics and Progress in Computer and Autonomous Intelligent Research, Editorial Board Member of Health Information Science and Systems and Gene Expression, Standing Committee Member of the CCF Digital Medicine Subcommittee, Standing Committee Member of the CCF Data Governance Development Committee, and Chair-elect of the Health Big Data and Digital Intelligence Public Health Subcommittee of the Shandong Preventive Medicine Association.
He has received a written commendation from the Ministry of Science and Technology for his contributions to the “COVID-19 Science and Technology Response Efforts” and the Second Prize of the Ministry of Education’s Engineering Technology Award.
His primary research areas include trustworthy deep learning driven by causal inference and cancer informatics. He has presided over 10 national and provincial/ministerial-level projects, including key projects/sub-projects under the National Key R&D Program, a future industry innovation task unveiled by the Ministry of Industry and Information Technology, the National Natural Science Foundation of China General Program, open funds of key laboratories of the Ministry of Education and Shandong Province, and research programs of Shandong provincial universities. Additionally, he has participated as a key contributor in 5 projects, including those funded by the U.S. NSF and NIH, Shandong Major Innovation Projects, and Shandong Key R&D Programs.
He has published more than 30 SCI/EI papers, obtained 25 authorized/accepted national invention patents with 2 technology transfers, 12 software copyrights, and contributed to 2 industry or group standards.

 

 

 

 

 

Track Chair of Track 6:

 

Assoc. Prof. Jinpeng Li
South China University of Technology, China

Jinpeng Li is an Associate Professor and PhD advisor at the School of Automation, South China University of Technology, an IEEE Senior Member, and a MICS Committee Member. His main research interests focus on artificial intelligence and its applications in medicine, particularly developing methods in multi-modal learning, self-supervised learning, weakly-supervised learning, and transfer learning for generalizable, interpretable, and trustworthy medical image analysis and electronic health record analysis systems. He obtained his PhD from the National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. Over the past five years, he has led 6 national and provincial-level government-funded projects. He has published over 60 papers in international journals and conferences, including TPAMI, TNNLS, TCYB, ACL, EMNLP, and MICCAI. Among them, two of his first-author papers are ESI Highly Cited Papers, and three of his first-author papers have received over 300 citations each. He serves as a reviewer for the National Natural Science Foundation of China and for journals such as TPAMI. His research projects, which include a large-scale multimodal medical data analysis system and motion function rehabilitation equipment based on brain-computer interfaces, have won several awards in provincial and municipal innovation competitions.