Keynote Speakers of ISCTIS 2026

Prof. Yuan Yan TANG, University of Macau, China 

(IEEE Life Fellow、IAPR Fellow、AAIA Fellow)

Bio: Professor Yuanyan Tang is the Chair Professor of the Faculty of Science and Technology at the University of Macau, and holds positions as professor, associate professor, or honorary professor at multiple research institutions in China, the United States, Canada, France, and Hong Kong. His current research interests include wavelets, pattern recognition, image processing, and artificial intelligence. He has published over 400 academic papers and authored or co-authored more than 25 monographs, books, or book chapters. He is the Founder and Editor-in-Chief of the International Journal of Wavelets, Multiresolution, and Information Processing (IJWMIP) and serves as an associate editor for several international journals. Additionally, he is the Founder and Chair of the Pattern Recognition Committee of the IEEE Systems, Man, and Cybernetics Society. Professor Tang has acted as General Chair, Program Chair, or committee member for numerous international conferences and is the Founder and General Chair of the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) series. He is also the Founder and Chair of the Macau Branch of the International Organization for Standardization.

Prof. YANG Chenguang, The Hong Kong Polytechnic University, China 

(IEEE Fellow, IET Fellow)

Bio: Professor Chenguang Yang (Charlie) received the B.Eng. in Measurement and Control Technology from Northwestern Polytechnical University, China, and the Ph.D. in Adaptive and Neural Network Control from the National University of Singapore. He completed postdoctoral research in human robotics at Imperial College London, UK. Previously, he held professorships at University of Liverpool, University of the West of England (UWE Bristol) as well as South China University of Technology. He was leading the Robotics and Autonomous Systems Group at University of Liverpool and was leading the Robot Teleoperation Group at Bristol Robotics Laboratory. He holds fellowships with Institute of Electrical and Electronics Engineers (IEEE), Institute of Engineering and Technology (IET), Institution of Mechanical Engineers (IMechE), Aisa-Pacific AI Association (AAIA), and British Computer Society (BCS). He is a member of European Academy of Sciences and Arts (EASA) and a member of National Academy of Artificial Intelligence (NAAI).

Prof. Pingyi Fan, Tsinghua University, China

(Member of NAAI, Winner of NAAI 2025 AI Exploration Award, IET Fellow)

Bio: He is a tenured professor in the Department of Electronic Engineering at Tsinghua University, Director of the Open Source Data Cognitive Innovation Center, a Member (Academician) of the United States National Academy of Artificial Intelligence (US-NAAI) and the recipient of the NAAI 2025 AI Exploration Award & Outstanding Scientist Award, the Co-Chair of the Academic Committee of the NAAI Institute for Asia, the IET Fellow, and a member of the International Review Committee of IET Fellows. He received his Ph.D. from the Department of Electronic Engineering of Tsinghua University in 1994 and stayed on to teach. He has published more than 600 academic papers, including 181 IEEE journals and 16 ESI highly cited papers. He has applied for more than 40 national patents, 7 international patents, and published 5 academic works. He has won the Best Paper Award at 16 IEEE and other international conferences, including IEEE ICCCS 2024, ICC2020, and Globecom2014, the IEEE TAOS 2020 Best Paper Award, the 2024 High Impact Paper Award from the Chinese Journal of Electronics (CJE) of the Chinese Institute of Electronics, and the IEEE DCASE2024 Challenge Judge’s Award (DCASE2024 Challenge), AEIC (2023) Most Popular Scholar Award, IEEE TWC (2009) Excellent Editor Award, etc. He is currently on the editorial board of IEEE Transactions on Cognitive Communications and Networking (TCCN) (2024-2026), the editorial board of IAES international Journal of Artificial Intelligence (IJAI) (2023-2026), MDPI Section Editor-in-Chief of Electronics (2025-2027), The Chair of China 6G-ANA TG4 , etc. He has served as the General Chair, TPC Chairman or the Keynote Speaker more than 40 times at international conferences. His main research interests include 6G wireless communication networks and machine learning, semantic information theory and big data processing theory, and intelligent network and system detection.

Prof. Song Wang, Shenzhen University of Advanced Technology, China 

(recipient of the National-Level Overseas Talent Program Award)

Bio: Song Wang, recipient of the National-Level Overseas Talent Program Award. He earned his Bachelor of Engineering in from Tsinghua University and his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. His research interests include computer vision, machine learning, and image processing, with a focus on image segmentation, image enhancement, video understanding, video generation, 3D modeling, as well as the application of computer vision in fields such as biomedicine, materials science, cultural heritage preservation, and autonomous driving. As of December 2024, he has published over 230 papers in prestigious journals and conferences, including IEEE-TPAMI, IJCV, ICCV, and CVPR, with more than 100 of them being CCF-A ranked. His work has been cited over 12,000 times on Google Scholar.

Prof. Leida Li, Xidian University,China 

(National Young Talent)

Bio: Leida Li is a Full Professor at Xidian University, recognized as a National Young Talent. His research interests include computer vision, visual quality assessment, and computational aesthetics. He has published over 100 papers in top-tier journals and conferences like IEEE TPAMI, IEEE TIP, CVPR, ICCV, and AAAI, with about 10,000 citations. He has led five projects supported by the National Natural Science Foundation of China and has actively engaged in industry-academia collaborations with top companies such as Huawei, OPPO, and Tencent. He was awarded the "Outstanding Industry-Academia Collaboration Partner" by OPPO, and his research outcomes have been applied in smart phone and live-streaming cameras. He is an Associate Editor of IEEE Transactions on Image Processing (TIP) and Journal of Visual Communication and Image Representation (Best Associate Editor Award 2021/2023), and serves as Area Chair/Senior Program Committee member for top international conferences such as AAAI, IJCAI, and ACM MM. He is a Senior Member of IEEE/CCF/CSIG.

Speech Title: Fine-grained Visual Quality Assessment

Abstract: Visual quality assessment evaluates the perceptual quality of images by simulating the characteristics of the Human Visual System (HVS). As a common technology, it has important applications in many fields such as low-level vision, imaging optimization, smart photography, and AIGC. After more than 20 years of rapid development, a large number of algorithms have proposed. However, the existing methods typically suffer from insufficient discrimination ability when used in real-world environments. This keynote talk focuses on the key differences between coarse-grained and fine-grained visual quality assessment, the main research progress in fine-grained visual quality assessment in recent years, and future research directions.

Prof. Qiguang Miao, Xidian University, China

 (IEEE Senior Member)

Bio: Doctoral Supervisor, Deputy Director of NVIDIA-Xidian University Joint Laboratory for High-Performance Computing; Awarded Ph.D. in Computer Application Technology from Xidian University in December 2005; Conducted high-level research in the United States from December 2013 to July 2014 under the China Scholarship Council (CSC) program. Council Member of the Shaanxi Computer Society; Member of the CCF Artificial Intelligence and Pattern Recognition Technical Committee; Member of the CCF Technical Committee on Computer Vision (CCF TFCV), Member of the CCF Youth Committee, Vice Chair of CCF YOCSEF (2015-2016), Chair of CCF YOCSEF Xi'an (2010-2012), IEEE Member, ACM Member, CCF Senior Member, Member of the Information Fusion Committee of the Chinese Society of Aeronautics and Astronautics, Senior Member of the Chinese Society of Aeronautics and Astronautics. Awarded the title of “Top Ten Model Teachers for Professional Ethics” by Xidian University in 2008 and 2011, respectively; honored as “Outstanding Teacher” by Xidian University in 2014; selected for the “Ministry of Education New Century Excellent Talents Support Program” in 2012. Primary research focuses on intelligent image processing and machine learning, as well as behavioral analysis and understanding of malicious programs.

Prof. Minghua Zhao, Xi’an University of Technology, China

Bio: Minghua Zhao, Ph.D., Professor (Level 3), Doctoral Supervisor. Distinguished Member of the Chinese Computer Federation (CCF), Senior Member of the China Society for Image and Graphics (CSIG), Executive Committee Member of CCF Education Committee, Executive Committee Member of CCF Virtual Reality and Visualization Technology Committee, Committee Member of CSIG Multimedia Committee, Committee Member of CSIG 3D Vision Committee. Vice Chair of CCF YOCSEF Xi'an (2022-2023), Council Member of Shaanxi Association of Women Scientists and Technologists, Council Member of Shaanxi Computer Society, Council Member of Shaanxi Computer Education Society, Secretary-General of Shaanxi Computer Society Education Digital Intelligence Special Committee, and Advanced Individual in Shaanxi Education Cybersecurity and Informatization. Currently serves as Director of the Information Management Office at Xi'an University of Technology and leads the National First-Class Major in Software Engineering. In recent years, she has led over 20 research projects including National Natural Science Foundation of China grants and key projects from the Shaanxi Provincial Natural Science Foundation. She has published more than 100 high-impact papers and holds over 50 authorized national invention patents. Her accolades include the Second Prize of Shaanxi Provincial Technological Invention Award, Second Prize of the Innovation Award from the China Invention Association, and Second Prize of Shaanxi Provincial Teaching Achievement Award, among over 10 teaching and research honors. Her research focuses on computer vision, intelligent information processing, pattern recognition, artificial intelligence, and education.