Keynote Speakers

Chao Shen - IEEE Fellow，IAPR Fellow
Xi'an Jiaotong University, China

Chao Shen, IEEE Fellow, IAPR Fellow, Chair Professor of Xi’an Jiaotong University, Cheung Kong Scholar Professor, Head of the National Natural Science Foundation of China Innovation Group, Head of the Ministry of Education Innovation Team, Director of the Ministry of Education Key Laboratory, Recipient of the Science Exploration Award, DAMO Academy Young Orange Award, MIT TR35 China, and IEEE SMC Early Career Award, Chief Scientist of the National Key Research and Development Program of China, and Chair of the IEEE Trustworthy and Controllable Intelligent Systems Technical Committee.

Title: Data-Intelligence Chain Security: From Small Models to Large Models to Embodied Intelligence

Abstract:  Data-driven intelligent systems, through the integration of advanced sensing methods, control algorithms, decision-making technologies, and artificial intelligence, have evolved from small models to large models to embodied intelligence. As these systems have become increasingly sophisticated, their security challenges have expanded beyond traditional network and system levels to encompass the entire chain of data, models, algorithms, and applications. Ensuring the security of artificial intelligence has become a core challenge in the design, development, and deployment of intelligent systems. This report systematically reviews research progress in the field of artificial intelligence security. Focusing on security dimensions such as confidentiality, integrity, and privacy, and starting from the component structure of the intelligent supply chain, it introduces the team's research and practices in the areas of intrinsic and extrinsic security within the intelligent supply chain.

Daoqiang Zhang - IAPR Fellow
Nanjing University of Aeronautics and Astronautics, China

Prof. Daoqiang Zhang, Dean, School of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics (NUAA) .Professor and Doctoral Supervisor. Director of the Key Laboratory of Brain‑Computer Intelligence Technology, Ministry of Education; Fellow of the International Association for Pattern Recognition (IAPR Fellow); Winner of the National Ten‑Thousand Talents Program for Leading Talents in Scientific and Technological Innovation and Young Top‑notch Talents; Recipient of the National Science Fund for Excellent Young Scholars; Supervisor of the China Society of Image and Graphics; Vice‑Chair of the Big Data Graphics Committee of China Graphics Society; Standing Committee Member of the Machine Learning Committee of Chinese Association for Artificial Intelligence; Vice‑Chair, IEEE Computer Society Nanjing Chapter; Associate Editor of IEEE Transactions on Medical Imaging, Pattern Recognition, and Machine Intelligence Research; Associate Editor‑in‑Chief of Journal of Data Acquisition and Processing.

Title: TBA

Abstract: TBA

Aiwen Jiang
Jiangxi Normal University, China

Aiwen Jiang, Ph.D., Professor, is currently the Executive Dean of the College of Digital Industry and the Chair of the Degree Committee of the College of Computer and Information Engineering at Jiangxi Normal University. He is a member of the Technical Committee on Pattern Recognition and Machine Intelligence of the Chinese Association of Automation, a member of the Technical Committee on Pattern Recognition of the Chinese Association for Artificial Intelligence, and a Senior Member of the China Computer Federation..

Title: From Restoration to Understanding: Building Multimodal Visual Intelligence Systems for Real-World Scenarios
Abstract: Aiwen Jiang is a full professor and Ph.D., currently serving as the Dean of the School of Artificial Intelligence at Jiangxi Normal University. He is a leading academic in the middle-aged and young faculty of Jiangxi higher education institutions, as well as the Deputy Director of the Jiangxi Internet Information Society and the Standing Director of the Jiangxi Computer Society. His research focuses on image enhancement and multimodal intelligent information processing. He has published over 90 academic papers in SCI journals and conferences such as IJCAI, MICCAI, ACCV, WACV, and Science China, and holds more than 20 authorized invention patents. He has led 3 National Natural Science Foundation projects, 3 Provincial Natural Science Foundation projects, 1 Jiangxi Key R&D Program, and numerous industry-university-research collaboration projects. His student research team won the Honour Mentioned Award in the NTIRE Image Dehazing Challenge at the 2018 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A); secured third place in the image dehazing competition at the 2018 China Multimedia Conference; and received the Best Student Paper Award at the 2022 ACM International Conference on Multimedia Retrieval (ICMR, CCF-B) and the Best Paper Award at the 2022 IEEE International Conference on Autonomous Agents and Multiagent Systems (AAMAS, CCF-B) OptLearnMAS Workshop. In 2025, he won the Winner Award in the Bokeh Effect Rendering Challenge at the Mobile AI Workshop and Challenges of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A). Individually, he was awarded the "Outstanding Young Scientist Award" by the National Academy of Artificial Intelligence (NAAI) on 2025, as well as the first prize in the Jiangxi Teaching Achievement Award (undergraduate level), third prize in the Jiangxi Science and Technology Progress Award, second prize in the Jiangxi Natural Science Award, second prize in the China Federation of Industry and Commerce Science and Technology Invention Award, and second prize in the China Fire Association Science and Technology Invention Award.

Lu Leng
Nanchang Hangkong University, China

Prof. Lu Leng is a professor, doctoral supervisor at School of Software, Nanchang Hangkong University, and serves as the Director of the Institute of Computer Vision. He has published over 150 academic papers, including more than 90 indexed in SCI. He has led six national-level research projects and serves as a reviewer for over 100 international SCI journals. His research interests include computer vision, biometric template protection, biometric recognition, medical image processing, and information hiding. He has been selected for the World's Top 2% Scientists list four times, and received the Jiangxi Youth May Fourth Medal. He has been honored as an Outstanding Representative of "Innovation Pioneers" among enterprises in Jiangxi Province under the "Innovation China" Program, and honored to be included in "Jiangxi Hundred-Thousand-Ten Thousand Talent Project" and "Jiangxi Yuanhang Project".

Title: Robust and Compact Feature Construction Methods
Abstract: This speech focuses on feature representation and matching in pattern recognition. To address cross-domain variation, insufficient inter-class discrimination, and inadequate information fusion, it studies robust and compact feature construction to improve stability, discriminability, and compactness, thereby enhancing recognition generalization and adaptability.