| Prof. Mingzhi LiaoNorthwest A&F University, China Mingzhi Liao, a professor/doctoral supervisor at Northwest A&F University, has been selected for the National Youth Talent Program and approved for the Shaanxi Outstanding Youth Fund. He is an expert in the evaluation and conference of multiple scientific research projects, talent plans, and scientific and technological awards. The research field of Professor Liao is animal multi omics big data processing and analysis based on artificial intelligence. Currently,Professor Liao is a member of the Multi omics and Integrative Biology Professional Committee of the Chinese Society for Bioinformatics, the Bioinformatics Professional Committee of the Chinese Computer Society, the Bioinformatics and Artificial Life Professional Committee of the Chinese Society for Artificial Intelligence, a council member of the Shaanxi Bioinformatics Society, and a council member of the Shaanxi Zoological Society. Professor Liao have hosted four projects funded by the National Natural Science Foundation of China, published over 80 papers in such as journal PNAS、Nature Communications、Genome Biology、Advanced Science、Molecular Plant、Journal of Biological Chemistry、Briefings in Bioinformatics、Bioinformatics、The FASEB Journal、Zoological Research, served as the chief editor of textbook titled 'Bioinformatics'. Speech Title: CLAMP: A language model for chromatin loop identification |
| Prof. Ming YanXInjiang University, China Ming Yan is an Researcherand PhD supervisor at Xinjiang University. He is a national young talent awardee, the research lead of the Xinjiang Key Laboratory of Intelligent Computing and Smart Applications, and an expert for the Science and Technology Departments of the Xinjiang Uygur Region. He previously served as a Senior Scientist at A*STAR, where he also worked as a PI, and was shortlisted as a finalist for the MTC YIRG. His research focuses on Efficient AI and Natural Language Processing. He serves as a Young Associate Editor of Big Data Mining and Analytics (a Chinese Academy of Sciences Q1 journal), and has acted as an Area Chair for major international conferences such as ACL, AAAI, IJCNN, IEEE IoP, and EAI IoTaaS etc. Speech Title: Rethinking Efficient AI in the Era of Large Models |
| Prof. Xinguo YuCentral China Normal University, China Prof. Xinguo Yu is a Professor at the National Engineering Research Center for E-Learning at Central China Normal University (CCNU) and a Doctoral Supervisor, as well as an Honorary Professor at the University of Wollongong, Australia. He has long been engaged in research on artificial intelligence in education, artificial intelligence for research, educational robots, and machine learning. Due to his outstanding contributions, he was included in the 2025 list of the world’s top 2% scientists for "lifetime scientific impact," published by Stanford University and Elsevier. With over 30 years of research experience, he has led numerous national projects and published over 200 papers in prestigious international journals and conferences, including more than 30 SCI papers. As the founding chair of the Hubei Society of Artificial Intelligence for Research and Education, he has actively promoted the development of intelligent education and intelligent research. He has also served as chair, keynote speaker, and program chair for more than 30 international conferences. Since 2021, he has founded and led the "International Conference on Intelligent Education and Intelligent Scientific Research," establishing an important academic platform in the fields of intelligent education and scientific research. Speech Title: Innovative Practices of Embodied Education Driven by Intelligent IoT |
| Assoc. Prof. Qiang YangGuangzhou College of Commerce, China Dr. Qiang Yang, Associate Professor, received his Ph.D. from the College of Computer Science and Technology, National University of Defense Technology (NUDT). He currently serves as Dean of the School of Information Technology and Engineering, Guangzhou College of Commerce. His main research areas include big data, artificial intelligence, integrated information processing, and auxiliary decision-making. He is recognized as an Outstanding Young and Middle-Aged Expert of the Military. He has served as General Manager of an enterprise and as a postgraduate supervisor at multiple universities. He has presided over more than 20 national and military research projects and has been awarded one Second-Class Prize of the National Science and Technology Progress Award, one First-Class Prize and three Second-Class Prizes of the Military Science and Technology Progress Award. He has published more than 60 peer-reviewed papers and obtained three authorized national invention patents. Speech Title: IoT and Machine Learning: From Industry Demand to Engineering Practice |
