Prof. Yanfeng Li
Beijing Jiaotong University, China

Bio: Yanfeng Li, professor in Beijing Jiaotong University, Beijing Municipal Teaching Master (Young Scholar). She has been awarded the Second Prize of the National Teaching Achievement Award, the First Prize of the Beijing Teaching Achievement Award, the First Prize of the National Outstanding Textbook Award, and other honors. She has been engaged in information processing and artificial intelligence research for a long time. In recent years, she has undertaken more than 30 projects, including the National Nature Science Foundation of China, and the enterprise deferred projects. She has published more than 70 papers in IEEE TIP, IEEE TMI, IEEE TCSVT, PR and other top journals in this field. The main research work includes medical image analysis, multimodal information processing, person re-identification, and model generalization.

Prof. Yechao Bai
Nanjing University, China

Bio: Yechao Bai received the B.S. degree and the Ph.D. degree in electronic science and engineering from Nanjing University, Nanjing, China in 2005 and 2010, respectively.
Since 2010, he has been with Nanjing University, Nanjing, China, where he is currently a Professor with the School of Electronic Science and Engineering. From August 2013 to August 2014, he was a Visiting Scholar with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. His current research interests include target detection and parameter estimation, cognitive radio, and information fusion.

Prof. Deyang Liu
Anqing Normal University, China

Bio: Deyang Liu is a full professor at Anqing Normal University, a distinguished research fellow at the Institute of Advanced Technology of University of Science and Technology of China， and a visiting scholar at the University of Technology Sydney . He has been recognized as an Outstanding Young Scholar of Anhui Province, and a Young Taishan Scholar of Shandong Province. His research interests span a range of topics in 3-D video processing, light field image processing and video coding. He has authored more than 60 papers in highly refereed conferences and journals, and holds 19 authorized invention patents. He is a recipient of the Second Prize for Science and Technology Progress from the China Society of Image and Graphics, the Second Prize for Technological Innovation from the China General Chamber of Commerce, and the Second Prize of Natural Science Award from the Anhui Computer Federation (ACF).

Assoc. Prof. Xiaochuan Wang
Beijing Technology and Business University, China

Bio: Xiaochuan Wang received the Ph.D. degree in computer application technology from Beihang University, Beijing, China, in 2019. He is currently an Associate Professor and Master's Supervisor with the School of Computer and Artificial Intelligence, Beijing Technology and Business University. His research interests include virtual reality, computer graphics, and visual media computing. He has published more than 30 papers in international journals and conferences, such as AAAI, IEEE ICASSP, and Multimedia Systems. He has led several national and provincial research projects, including the National Natural Science Foundation of China and the Beijing Natural Science Foundation. He is a member of the Cognitive Systems and Information Processing Committee of the Chinese Association for Artificial Intelligence, the Digital Media Committee of the Chinese Society for Graphics, and the Virtual Reality Committee of the Chinese Society of Image and Graphics.

Assoc. Prof. Kunqian Li
Ocean University of China, China

Bio: Dr. Li Kunqian is an associate professor and doctoral supervisor at the College of Engineering, Ocean University of China, and a recipient of the Distinguished Young Scholar Fund from the Natural Science Foundation of Shandong Province. He earned his Ph.D. in Control Science and Engineering from Huazhong University of Science and Technology in 2018. His current research focuses on visual perception applications in underwater environments, underwater operational robotics, and multimodal perception in maritime and port contexts. He has led three projects funded by the National Natural Science Foundation of China. Additionally, he has participated as the second-ranked contributor in a key national research and development program. Over the past five years, he has authored or co-authored more than ten SCI-indexed journal articles as first or corresponding author, published in leading journals such as IEEE TIP, TCSVT, TGRS, PR, and TIM. Since 2022, his published works have accumulated over 1,000 citations according to Google Scholar.

Asst. Prof. Liming Zhang
University of Macau, China

Bio: Liming Zhang received the B.S. degree in Computer Software at Nankai University, China and M.S. degree in Signal Processing at Nanjing University of Science and Technology, China. She received her PhD degree in image processing at University of New England, Australia. She is currently an assistant professor in Faculty of Science and Technology, University of Macau. Her research interests include Computer vision, Image processing, Artificial intelligence, Machine learning, and Deep learning. She has published over 100 papers, including IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, CVPR, ect. The main contribution lies on new image and signal processing methodology – adaptive Fourier decomposition (AFD)-based signal and image processing methods and new deep network development. The image and video compression results based on stochastic AFD (SAFD) exceed the current international image and video compression standards JPEG, JPEG2000, MPEG, and also exceed the compression results of the popular deep networks. SAFD-based deep networks also perform well in alleviating the scarcity of training data.

Assoc. Prof. Usman Ullah Sheikh
Universiti Teknologi Malaysia, Malaysia

Bio: Usman Ullah Sheikh received his bachelor's degree in mechatronics (2003), master's degree in telecommunications engineering (2005) and PhD degree (2009) in image processing and computer vision from Universiti Teknologi Malaysia. He is currently an associate professor at Universiti Teknologi Malaysia for over 15 years. He is also the Postgraduate Academic Manager at the Faculty of Electrical Engineering where he oversees the management of postgraduate studies. He is a member of IEEE Signal Processing Society Malaysia Chapter and held several positions as an executive member. His research work is mainly on computer vision, machine learning and embedded systems design. Under his supervision, he has graduated many postgraduate students, published in various journals and conferences and obtained many national and international awards. He has served as program committee in IEEE ICIP, IEEE ICSIPA, ICEST, ECE, SIE and many other international conferences.