Prof. Fengying Xie, Beihang University, China
Fengying Xie, professor, School of Astronautics, Beihang University. Council Member of Chinese Society of Stereology (CSS), Member of the Medical Imaging Committee of China Society of Image and Graphics (CSIG). Prof. Fengying Xie’s main research areas are image quality assessment and quality improvement, image segmentation, object detection, tracking and recognition. She has extensive expertise in intelligent interpretation of remote sensing imagery. Prof. Fengying Xie has been awarded the Second Prize for Scientific and Technological Invention by the Chinese Society of Stereology, recognized for publishing an ESI Highly Cited Paper, and named in the Stanford University "World's Top 2% Most-Cited Scientists" list.
Prof. Changxin Gao, Huazhong University of Science and Technology, China
Changxin Gao is a Professor at Huazhong University of Science and Technology. He received the Ph.D. degree in pattern recognition and intelligent systems from Huazhong University of Science and Technology, Wuhan, China, in 2010, under the supervision of Prof. Nong Sang. From 2012 to 2013, I was a researcher assistant in ICTEAM at Université Catholique de Louvain with Prof. Benoit Macq. His research interests focus on computer vision, deep learning, and multimodal understanding, with a special focus on semantic segmentation, multi-agent collaborative perception. He has published a series of high-quality papers in major journals and conferences such as IEEE T-PAMI, IEEE T-IP, CVPR, ICCV, ECCV, NeurIPS, AAAI. His/Her work has been recognized for its contributions to improving the accuracy, efficiency, and generalization ability of visual understanding models. He has served as a technical program committee member and reviewer for numerous leading conferences and journals.
Prof. Yuncheng Jiang, South China Normal University, China
Yuncheng Jiang is a Professor at the School of Computer Science and the School of Artificial Intelligence, South China Normal University, Guangdong, China, and named among the World’s Top 2% Scientists. He received his Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences in 2004. His research has been published in journals and conferences including TKDE, TNNLS, TEC, IPM, TLT, TCSS, TBD, TCE, AAAI, IJCAI, ACM MM, CIKM, ECML PKDD, DASFAA, and AIED. He was a recipient of the Best Paper Awards at KSEM 2022 and CSIS-IAC 2024, and the Special Session Best Paper Awards at ADMA 2024 and 2025. He is a member of the KSEM steering committee, and the chair of IEEE Task Force on Educational Data Mining, the vice chairs of IEEE Guangzhou Section Computer Society Chapter, ACM Guangzhou Chapter and CCF Guangzhou Chapter, a distinguished membership of China Computer Federation (CCF), and a council member of the Chinese Association for Artificial Intelligence (CAAI). He also is the General Co-Chair of NCTCS 2023 and AIEC 2026, the PC Co-Chairs of PRICAI 2026, KSEM 2023, and CAAI DMAI 2023, 2024 and 2025, the Workshop chair of PRICAI 2024, the chairs of IWEAI 2024 and 2025, and the Track chairs of Special Track on Data Intelligence & Knowledge Mining at ADMA 2024 and 2025. His current research interests include graph computing, multimodal learning, multimodal knowledge graphs, educational artificial intelligence and data science.
Prof. YuanyuanLiu, China University of Geosciences, Wuhan, China
Yuanyuan Liu is a Professor, Doctoral Supervisor, and Head of the Department of Intelligent Science and Technology. Recognized as a "CUG Scholar" Young Top-Notch Talent, Prof. Liu also serves as the Deputy Director of the University Office (On Secondment). Additionally, Prof. Liu is a Visiting Scholar at Nanyang Technological University (NTU), Singapore, and a Guest Associate Researcher at the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). Prof. Liu's primary research interests encompass computer vision, affective computing, and embodied intelligent interaction. As a Principal Investigator (PI), Prof. Liu has led over 10 research projects, including the General and Youth Programs of the National Natural Science Foundation of China (NSFC). Prof. Liu has published more than 60 papers in top-tier artificial intelligence journals and conferences, such as IJCV, ICML, CVPR, IEEE TMM, ACM MM and PR, and holds 11 authorized invention patents. Prof. Liu has been honored with the ChinaMM Best Student Paper Award and the Second Prize of the Hubei Provincial Teaching Research Achievement Award. Currently, Prof. Liu serves as an Associate Editor for the prestigious international journal IEEE TMM, an Area Chair for ICME, and a Guest Editor for several SCI journals.
Prof. Leyuan Liu, Central China Normal University, China
Leyuan Liu is a Doctoral Supervisor and Professor at Central China Normal University. His primary research interests encompass computer vision and computer graphics, AI-assisted special education, and educational robotics. Professor Liu has led more than ten projects funded by organizations such as the National Natural Science Foundation of China, the National Key Research and Development Program of China, and the Hubei Provincial Natural Science Foundation, and has also been a key participant in several major national initiatives. He has published over eighty research papers in leading journals, including IEEE Transactions on Multimedia, and at top-tier AI conferences such as CVPR, ECCV, and ACM MM. He holds more than twenty authorized Chinese patents and has received multiple academic honors, including the First Prize of the Hubei Provincial Science and Technology Progress Award, the Second Prize of the Hubei Provincial Award for Outstanding Achievements in Social Science , and the First Prize of the Hubei Provincial Award for Excellent Papers in Natural Science.