 | Prof. Luonan ChenShanghai Jiao Tong University Luonan Chen, a renowned expert in bioinformatics in China, is currently a Research Professor, Principal Investigator and PhD Supervisor at the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS). He also serves as the Executive Director of the CAS Key Laboratory of Systems Biology, a Chief Professor at the Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, and a Distinguished Professor at the School of Life Science and Technology, ShanghaiTech University. His research focuses on the interdisciplinary studies of applied mathematics, information science, artificial intelligence and life sciences. In particular, he has established and advanced the data science theories and methods empowered by dynamic characterization and artificial intelligence. Based on the systematic research of dynamic biological processes, he has constructed an analytical theoretical and methodological system of "computational systems biology and intelligent medicine characterized by dynamics and networks" and developed the research direction of critical early warning and prediction of diseases, from the perspectives of network, causality, early warning, prediction and artificial intelligence. As a corresponding or co-corresponding author, he has published more than 400 academic papers with an H-index of 88 and over 28,000 citations, and he is a Clarivate Highly Cited Researcher. His publications appear in top-tier international journals including Nature, Nature Genetics, Nature Cancer, Nature Ecology & Evolution, Nature Communications, PNAS, Physical Review Letters (PRL), National Science Review, Advanced Science, Science Advances, Cell Research, Cancer Cell, Signal Transduction and Targeted Therapy (STTT), Journal of the American Chemical Society (JACS), Cell Systems and Control (CSC), Research and Innovation. |
 | Prof. Huiling ChenWenzhou University Huiling Chen, PhD, Professor and PhD Supervisor, serves as Dean of the Institute of Big Data and Information Technology and Dean of the School of Computer Science and Artificial Intelligence at Wenzhou University. She has presided over more than 10 research projects including national, provincial and ministerial level projects as well as major science and technology special projects of Wenzhou City, and has developed and delivered multiple sets of intelligent auxiliary diagnosis systems for practical application. She has been selected for a number of prestigious talent programs, including the National Young Talents Program, the Young Top-notch Talents of the "Ten Thousand Talents Program" of Zhejiang Province, the second batch of training objects (high-level top-notch talents) of the "Zhejiang Provincial University Leading Talents Training Program", the "551 Talent Project" of Wenzhou City, and the Oujiang Distinguished Professor of Wenzhou University. She has been listed in the Global Academic Influence Ranking of Scholars 2022/2023, the Highly Cited Chinese Researchers 2020/2021, the Top 200 Scientists in China's Computer Field recognized by Guide2Research, and has been consecutively included in the World's Top 2% Scientists ranking from 2021 to 2023. In recent years, she has published more than 100 academic papers as the first or corresponding author in important international journals in the field of artificial intelligence such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Informatics and Artificial Intelligence in Medicine, among which more than 10 papers are listed as ESI Highly Cited Papers and 5 as ESI Hot Papers. She currently has an H-index of 96 with over 30,000 total citations of her papers, and 2 of her papers have been selected into the list of "China's 100 Most Influential International Academic Papers". |
 | Prof. Xiangtao LiJilin University Xiangtao Li is a Professor at the School of Artificial Intelligence, Jilin University, a recipient of the National Young Talents Program honor, and has been named to MIT Technology Review's Innovators in China’s Intelligent Computing list, as well as recognized in the World's Top 2% Scientists ranking for five consecutive years; he has presided over the General Program and Young Scientists Fund of the National Natural Science Foundation of China, with cumulative extramural research funding reaching 6 million RMB. In recent years, he has published more than 150 papers as the first or corresponding author in renowned journals and conferences including Nature Communications (4 papers), Advanced Science (8 papers), Nucleic Acids Research (3 papers), Genome Medicine, Bioinformatics, PLoS Computational Biology, IEEE Transactions on Cybernetics and AAAI, with his research interests focusing on AI for Science (AI4Science), single-cell and spatial transcriptome data analysis, and dynamic prediction of proteins and RNA. He has led his team to win one Provincial Natural Science Academic Achievement Award each as the first and second completed person respectively, and also serves as an Associate Editor or Editorial Board Member for several internationally authoritative journals such as Genome Biology, Communications Biology and BMC Biology. |
 | Prof. Yiping LiuHunan University He is a Professor in the College of Computer Science and Electronic Engineering at Hunan University. He received his Ph.D. in 2017 from the China University of Mining and Technology and Oklahoma State University. From 2018 to 2020. He served as an Research Assistant Professor at Osaka Prefecture University (now Osaka Metropolitan University) in Japan. He joined Hunan University as an Associate Professor in 2020 and was promoted to Professor in 2025. His research interests include AI4Science, multi-objective intelligent optimization, and drug discovery. He has published over 60 papers in leading journals and conferences. He has led four national-level projects—including the NSFC Young Scientists Fund (Category B) [formerly the Excellent Young Scientists Fund]—as well as two provincial-level projects. |