Track Chair of Track 1:

Prof. Xing-Peng Mao
Harbin Institute of Technology, China

Bio: Xingpeng Mao received the B.S. degree in radio electronics from Northeast Normal University, China, in 1993, and the M.S. and Ph.D. degrees in communication and information system from the Harbin Institute of Technology (HIT), China, in 1999 and 2004, respectively. He is currently a Professor with HIT. His research interests include array signal processing, communication and radar system design, and the theory on advanced radar systems.

Track Chairs of Track 2:

Prof. Tao Lei
Shaanxi University of Science and Technology, China

Bio: Lei Tao is a professor and doctoral supervisor at Shaanxi University of Science and Technology. He is also the vice dean of the School of Electronic Information and Artificial Intelligence, the distinguished member of CCF, and the Senior Member of IEEE/CSIG. He is selected from the Shaanxi Provincial High level Talent Program, Shaanxi Provincial Outstanding Youth, Stanford Top 2% Global Scientists List, etc. He is a deputy editor, editorial board member, guest editor, etc. for 7 journals, and serves as conference chairman, technical committee chairman, publicity chairman, reward committee chairman, branch chairman, etc. in more than 20 international conferences. His main research areas are computer vision, machine learning, etc. At present, He has published 4 collections of specialized/authored and conference papers, and have published over 100 papers in international journals and conferences such as IEEE TIP, IEEE TMI, IEEE T-CSVT, ICCV and IJCAI. Among them, 12 papers are ESI highly cited papers. His Google Academic Citation has exceeded 6800 times, with a single paper cited more than 700 times. He hosted many projects such as the National Natural Science Foundation of China, Shaanxi Provincial Outstanding Youth Fund, and Shaanxi Provincial Key Research and Development Program. He won the second prize of Shaanxi Province Science and Technology Award and the first prize of Gansu Province Higher Education Research Excellent Achievement Award as the first complete person.

Prof. Kaibing Zhang
Xi’an Polytechnic University, China

Bio: Kaibing Zhang is a professor and doctoral/master’s supervisor at Xi’an Polytechnic University, currently serving as the acting vice dean of the School of Computer Science. He is also a visiting scholar at the University of Technology Sydney. Dr. Zhang is a member of the Chinese Association for Artificial Intelligence, a council member of the Xi’an Artificial Intelligence and Robotics Society and the Xi’an Artificial Intelligence Industry Association, and a committee member of the Image and Graphics Technical Committee of the Shaanxi Electronics Society. He also serves as an associate editor for The Visual Computer and as an editorial board member for the Journal of Xi’an Polytechnic University. Additionally, he reviews for numerous prestigious journals, including IEEE TPAMI, IEEE TIP, IEEE TCSVT, IEEE TCyb, and Pattern Recognition.
His primary research interests include computer vision and machine learning. To date, he has published more than 50 papers in top-tier international journals and conferences such as IEEE TIP, IEEE TNNLS, IEEE TCSVT, Neural Networks, CVPR, and PRCV. His work has been cited over 3,700 times on Google Scholar, with a single paper cited more than 700 times, and he has five ESI Highly Cited Papers. Dr. Zhang has led several major research projects, including two funded by the National Natural Science Foundation of China, a key industry innovation chain project under the Shaanxi Provincial Key R&D Program, and grants from the China Postdoctoral Science Foundation. His contributions have earned him multiple honors, including the First Prize of the Shaanxi Provincial Science and Technology Award, the Second Prize of the Ministry of Education’s Scientific Research Outstanding Achievement Award, the First Prize of the Natural Science Award from the China Society of Image and Graphics, and the First Prize of the Shaanxi Higher Education Science and Technology Award.

Assoc. Prof. Hailong Ning
Xi'an University of Posts and Telecommunications, China

Bio: Hailong Ning is an associate professor and master's supervisor. He is he Director of the Software Engineering Department and a member of the Academic Degree Evaluation Sub-Committee of the School of Computer Science. He leads the Intelligent Computing and Security Innovation Team at Xi'an University of Posts and Telecommunications, and He is a member of CCF, IEEE, and CAAI, and a council member of the China Software Industry Association. He has been selected for the Shaanxi Provincial Outstanding Youth Talent Support Program in Higher Education and the Xi'an Association for Science and Technology Young Talent Support Program. He serves as an expert in the Science and Technology Expert Database of the China Institute of Communications, a review expert for the Shaanxi Provincial Science and Technology Awards, and a science and technology expert for the Xi'an Science and Technology Policy Service Comprehensive Management System, among other roles. His main research areas include computer vision, audio-visual multi-modal learning, and intelligent interpretation of large-scale scene imagery. Over the past five years, he has published over 20 SCI papers as the first author or corresponding author in internationally authoritative journals such as IEEE TGRS, IEEE TMM, and IEEE TCYB, including 11 papers in top-tier SCI Zone 1 journals, 1 ESI highly cited paper, with over 500 SCI citations by others. He has authorized 5 national invention patents and presided over projects such as the National Natural Science Foundation of China, the Shaanxi Provincial Natural Science Foundation, and military collaboration projects. He has received the President's Award of the Chinese Academy of Sciences and the Zhu Liyuehua Award.

Assoc. Prof. Caili Gong
Inner Mongolia University, China

Bio: Caili Gong is an Associate Professor and Master’s Supervisor at the School of Electronic and Information Engineering, Inner Mongolia University, China. She received her Ph.D. from Inner Mongolia Agricultural University. She has long been engaged in applied research in fields such as signal and information processing, image processing and machine vision, medical and health informatics, and microwave photonic signal processing. Her work is dedicated to integrating cutting-edge electronic information technologies into medical diagnosis and treatment, health monitoring, and medical information systems. She has led one project funded by the Central Government for Guiding Local Science and Technology Development, one General Project of the Inner Mongolia Natural Science Foundation, one Key R&D and Achievement Transformation Project of Inner Mongolia along with three sub-projects, one sub-project of the Ordos Key R&D Plan, and one Scientific Research Project of Higher Education Institutions in Inner Mongolia. She has also participated as a key contributor in one Regional Project of the National Natural Science Foundation of China, three projects of the Inner Mongolia Natural Science Foundation, and two Key Technology Research and Development Projects of Inner Mongolia. She has published over 20 academic papers, including more than 10 indexed in SCI.

Track Chairs of Track 3:

Assoc. Prof. Lin Bai
Chang’an University, China

Bio: Lin Bai (Member, IEEE) received the B.S. degree in electronic information science and technology from Northwest University, Xi’an, China, in 2003, the M.S. degree in electronic science and technology from Xidian University, Xi’an, in 2006, and the Ph.D. degree in signal and information processing from Northwestern Polytechnical University, Xi’an, in 2011
He is currently an Associate Professor with the School of Electronic and Control Engineering, Chang’an University, Xi’an. His research interests include machine learning and remote sensing image processing.

Track Chairs of Track 5:

Assoc. Prof. Shasha Mao
Xidian University, China

Bio: Mao Shasha is currently an Associate Professor with the School of Artificial Intelligence, Xidian University. Before, she was a Research Fellow with Nanyang Technological University, Singapore, and the Singapore University of Technology and Design, Singapore. Her current research interests include machine learning, affective computing, biometric features recognition, and integrated circuits based artificial intelligence. Her research has yielded in top-tier AI journals and conferences such as CVPR, ICLR, NeurIPS, ACM MM, IEEE TCYB, IEEE TCSVT, IEEE TGRS, PR, etc. One research was honored with the Best Paper Nomination Award at the 11th International Conference on Computational Vision and Media (CVM) in 2025, one of the three major academic conferences of the Asia Graphics Society. She has guided students to win the National Second Prize in the China University Students Service Outsourcing Innovation and Entrepreneurship Competition and the Special Prize in the International Mathematical Modeling Competition for University Students.

Assoc. Prof. Yang Shi
Shandong University, China

Bio: Yang Shi is an Associate Professor at the School of Artificial Intelligence, Shandong University, and a Master’s supervisor. He earned his Ph.D. from the School of Software, Shandong University, and completed postdoctoral research at the School of Control Science and Engineering. His research focuses on machine learning, computer vision, and intelligent robotics. He has published multiple first-author papers in top journals and conferences, including TIP, TKDE, and TMM, and has led several national and provincial projects, such as the NSFC Young Scientists Fund and China Postdoctoral Science Foundation grants. His honors include the Second Prize of the Science and Technology Progress Award from the Chinese Association of Automation, the First Prize of the Shandong Province Artificial Intelligence Natural Science Award, and the ACM Jinan Excellent Doctoral Dissertation Award. He also serves as a reviewer for leading journals and conferences, including TIP, TASE, TKDE, CVPR, AAAI, and ACM MM, and is the Secretary-General of the Shandong Provincial Alliance for General AI Education and a council member of the Shandong Artificial Intelligence Society.