Prof. Weixing Ji, Beijing Normal University, China

Weixing Ji, Professor, Ph.D. advisor, Deputy Director of the Ministry of Education’s Engineering Research Center for Intelligent Technology and Educational Applications, Deputy Secretary-General of the Industry-Academia-Research Alliance for New Engineering in Information Technology, and Executive Committee Member of ACM SIGOPS/ChinaSys. His primary research interests include computer architecture, parallel and high-performance computing, code analysis and optimization, and large-model inference optimization. He has led and participated in numerous projects, including those funded by the National Natural Science Foundation of China, Key Projects of the National Natural Science Foundation of China, and the National Key Research and Development Program. He has published numerous papers in renowned domestic and international journals and at international conferences (including TPDS, TACO, PLDI, TCAD, ICSE, RTSS, FSE, and DATE). He has received one national-level and one provincial/ministerial-level teaching achievement award, and has published one monograph, one popular science book, and three textbooks. In 2022, he was selected for the Ministry of Education–Huawei “Intelligent Foundation” Outstanding Teacher Award Program.

Prof. Fengying Xie, Beihang University, China

In 1997, he received a bachelor’s degree in Computer Software from Daqing Petroleum Institute. In 2002 and 2009, he earned a master’s degree and a Ph.D., respectively, in Pattern Recognition and Intelligent Systems from Beihang University. From May 2010 to May 2011, he served as a visiting scholar at the University of Texas at Austin. He was promoted to professor in 2015. His research interests include image quality evaluation and enhancement, object detection and recognition, remote sensing image processing and applications, and computer-aided diagnosis of medical images. He has long been engaged in research on algorithms related to image processing and pattern recognition, and has led various research projects, including grants from the National Natural Science Foundation of China (three General Projects and one sub-project under a Key Project), the Beijing Natural Science Foundation, the National Key Research and Development Program, the Aerospace Innovation Fund, and the Aerospace Research Institutes Fund. He has published over 70 papers in core journals and at international conferences both in China and abroad, of which more than 30 are indexed in SCI. He has authored five books, including one as sole author and two as first author and chief editor. He currently serves as a council member of the Chinese Society of Stereology and a committee member of the Medical Imaging Professional Committee of the Chinese Society of Image and Graphics.

Prof. Changxin Gao, Huazhong University of Science and Technology, China

Changxin Gao is a professor at Huazhong University of Science and Technology and Deputy Director of a National Key Laboratory. He is a National-Level Young Talent and serves as Deputy Secretary-General of the Pattern Recognition Technical Committee of the Chinese Association for Artificial Intelligence and the Imaging, Detection, and Perception Technical Committee of the Chinese Society of Image and Graphics. His research areas include computer vision, intelligent understanding of images and videos, semantic segmentation, behavior recognition, and image/video generation. In recent years, he has published more than 40 papers in high-impact journals and conferences, including IEEE TPAMI, IJCV, IEEE TIP, CVPR, ICCV, and ECCV. He has led projects such as the Hubei Provincial Outstanding Young Scientist Fund, the National Natural Science Foundation of China (NSFC) General Program, and the Equipment Pre-research Program. He has received one First Prize and one Second Prize for Scientific and Technological Progress from Hubei Province.

Prof. Yuncheng Jiang, South China Normal University, China

Yuncheng Jiang is a Grade 2 Professor and holds a Ph.D. degree. He serves as a Doctoral Supervisor, a Distinguished Professor under the Pearl River Scholars Program, and currently as the Dean of the School of Computer Science at South China Normal University (Guangzhou). He also holds concurrent positions as the Deputy Head of the Division of Engineering and the Dean of the School of Artificial Intelligence (Foshan). Professor Jiang is the Director of the Guangdong Provincial Engineering Research Center for Intelligent Science, the Deputy Director of the Guangdong Provincial Engineering Research Center for Data Science, and the Vice Chair of the Guangdong Provincial Undergraduate Computer Science Teaching Guidance Committee. He is a member of the Steering Committee of the KSEM conference series, Chair of the IEEE Education Data Mining Working Group, and Vice Chair of ACM Guangzhou. He is a Distinguished Member of the China Computer Federation (CCF) and serves on the Executive Committees of the CCF Technical Committee on Artificial Intelligence & Pattern Recognition, the CCF Technical Committee on Theoretical Computer Science, and the CCF Science Education Innovation Forum. Within the Chinese Association for Artificial Intelligence (CAAI), he is the Secretary General and a Standing Committee Member of the Technical Committee on Discrete Intelligent Computing, and a member of the Technical Committees on Knowledge Engineering and Distributed Intelligence, as well as Mind Computation. He is also the Vice Chair of the Normal Education Branch of the National Association of Computer Education Research in Higher Education Institutions, Vice Chair of the Guangdong Provincial Association for Digital Intelligence Science and Technology, an Executive Council Member of the Guangdong Computer Society, and serves as Deputy Director of its Artificial Intelligence and Big Data Technical Committees. Furthermore, he is an Executive Council Member of the Guangdong Institute of Communications, a Supervisor of the Guangdong Artificial Intelligence Industry Association, a Council Member of the Guangdong Association for Artificial Intelligence and Robotics, Vice President of the Guangzhou Artificial Intelligence Society, and a member of IEEE, ACM, and the Chinese Information Processing Society of China. Professor Jiang served as the General Co-Chair of CCF NCTCS 2023, and as Program Committee Co-Chair for KSEM 2023, CAAI DMAI (2023, 2024, 2025), NCIIP 2025, and PRICAI 2026. He was the Forum Co-Chair for PRICAI 2024, Chair of IWEAI 2024 and 2025, and Topic Chair on Data Intelligence and Knowledge Discovery for ADMA (2024, 2025) and MLCCIM 2025. He graduated from the Institute of Computing Technology at the Chinese Academy of Sciences in 2004 with a Ph.D. in Computer Software and Theory. He completed his postdoctoral research at the School of Mathematics and Computational Science and the School of Information Science and Technology at Sun Yat-sen University in 2007. In 2007, he was promoted to Professor of Computer Science. He joined the School of Computer Science at South China Normal University in 2009. In 2010, he was selected as a provincial-level candidate for the Guangdong Province "Thousand-Hundred-Ten" Project. In 2012, he was supported by the Ministry of Education's Program for New Century Excellent Talents. In 2018, he was appointed as a Distinguished Professor under the Pearl River Scholars Program. His main research interests include graph computing, multimodal knowledge graphs, graph neural networks, educational artificial intelligence, and data science.

Prof. YuanyuanLiu, China University of Geosciences, Wuhan, China

Yuanyuan Liu is the Chair of the Department of Intelligent Systems, a professor, and a doctoral advisor. He is a recipient of the “China University of Geosciences Scholar” award for outstanding young talent, serves as Deputy Director of the University Office (on secondment), is a visiting scholar at Nanyang Technological University in Singapore (in the research group led by Academician Wen Yonggang), and holds the position of Visiting Associate Researcher at the Institute of Robotics and Artificial Intelligence at The Chinese University of Hong Kong, Shenzhen. His primary research interests include pattern recognition, computer vision, and multi-agent systems, as well as their applications in embodied intelligent interaction, affective computing, and intelligent transportation. He currently serves as an Executive Committee Member of the CCF-CV Computer Vision Technical Committee; a Committee Member of the Emotional Computing and Understanding Technical Committee, the Multimedia Technology Technical Committee, and the Biometric Recognition Technical Committee (in preparation) of the China Society of Image and Graphics (CSIG); a member of CCF YOCSEF Wuhan AC; a Senior Member of CCF; a Member of IEEE; and a Lifetime Member of CAAI. He has led more than 10 research projects, including the National Natural Science Foundation of China (NSFC) Young Scientist Program, General Program, Wuhan Frontier Science and Technology Program, and National Defense Pre-research Program. As first author or corresponding author, he has published over 60 papers in top-tier artificial intelligence journals and conferences such as IJCV, TMM, ICML, CVPR, TAFFC, ACM MM, PR, ICMR, EAAI, TKDE, TGRS, TVCG, TOMM, EMNLP, AAAI, *Journal of Computers*, *Information Science: Chinese Science*, and *Acta Automatica Sinica*, among others, as first or corresponding author; two of these are ESI Highly Cited Papers; holds over 11 authorized invention patents and 3 software copyrights; has published 5 academic monographs and textbooks, one of which was selected for the China Postdoctoral Excellent Library; He has repeatedly guided students in participating in the China Robot Competition, winning national first and second prizes; he guided a doctoral student to win the Best Student Paper Award at the 2025 China Multimedia Conference; he received the First Prize in the 2025 CCF Computer Applications Technical Committee Science and Technology Award (first author); and he received the Second Prize in the 2025 Hubei Province Teaching Research Achievement Award (fifth author).

Prof. Leyuan Liu, Central China Normal University, China

Liu Leyuan is a professor and doctoral supervisor at Central China Normal University. His main research areas include computer vision and computer graphics, artificial intelligence-assisted special education, educational metaverse, and educational robotics. He has led more than ten research projects, including those funded by the National Natural Science Foundation of China, sub-projects of the National Key Research and Development Program, and the Hubei Provincial Natural Science Foundation, and has played a key role in several major national projects. He has published over 80 papers in internationally renowned journals such as IEEE Transactions on Multimedia and top-tier artificial intelligence conferences including CVPR, ECCV, and ACM MM. He holds more than 20 authorized invention patents. He has received multiple academic honors, including the First Prize of Hubei Province Science and Technology Progress Award (2020), the Second Prize of Hubei Province Social Science Outstanding Achievement Award (2018, 2020), and the First Prize of Hubei Province Natural Science Excellent Paper Award (2012).