KEYNOTE SPEAKERS  

Prof. Zuqing Zhu
University of Science and Technology of China, China

Speech Title: TBA
Abstract: TBA

Biography: Zuqing Zhu received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Davis, in 2007. From 2007 to 2011, he worked in the Service Provider Technology Group of Cisco Systems, San Jose, California, as a Senior Engineer. In January 2011, he joined the University of Science and Technology of China, where he currently is a Full Professor in the School of Information Science and Technology. He has published 360+ papers in peer-reviewed journals and conferences. He is the Steering Committee Chair of the IEEE International Conference on High Performance Switching and Routing (HPSR), and was the Chair of the Technical Committee on Optical Networking (ONTC) in IEEE Communications Society. He has received the Best Paper Awards from ICC 2013, GLOBECOM 2013, ICNC 2014, ICC 2015, ONDM 2018, and GLOBECOM 2023. He is a Fellow of IEEE.

Prof. Hung-Hsu Tsai
National Chung Hsing University, Taiwan

Speech Title: Challenges in Building Models with Less Data or Without Labels: Domain Generalization and Anomaly Detection
Abstract: Developing deep learning models with limited, unlabeled, or no data presents substantial challenges, especially in domains such as medicine, mechanical systems, and environmental monitoring. In medicine, obtaining labeled data requires expert annotation, which is costly, time-consuming, and often restricted by ethical and privacy regulations. Mechanical systems pose a different challenge, as critical failure events are rare, leading to sparse and imbalanced datasets. Environmental applications, such as UAV-based anomaly detection on water and soil conservation facilities, face logistical difficulties in label collection due to complex terrain and limited expert access. These constraints hinder effective training, increase the risk of overfitting, and weaken generalization to unseen data. This talk introduces three approaches to address these challenges: Unsupervised Domain Adaptation, Domain-Generalized Semantic Segmentation, and One-Class Anomaly Detection.

Biography: Hung-Hsu Tsai received the BS and the MS degrees in applied mathematics from National Chung Hsing University, Taichung, Taiwan, in 1986 and 1988, respectively, and the PhD degree in computer science and information engineering from National Chung Cheng University, Chiayi, Taiwan, in 1999. Currently, he is the Dean of School of Informatics and Data Science, since Feb., 2025, the Vice Dean of College of Science since Feb., 2024, and a professor at Graduate Institute of Data Science and Information Computing / Department of Applied Mathematics, National Chung Hsing University, Taichung, Taiwan. His research interests include artifical intelligence, machine learning, deep learning, multimedia watermarking, intelligent filter design, content-based multimedia retrieval.

Prof. Xianhua Niu
Xihua University, China

Speech Title: Research on Secure Communication for Intelligent Cluster Data Link
Abstract: Hierarchical access control in data link networks aims to allocate time slots strategically to enhance transmission efficiency and resist eavesdropping, especially under the growing number of nodes and diverse communication needs. It is anticipated to be a key enabler for future secure and efficient data link systems, supporting differentiated access requirements in complex environments. Obviously, control sequence design with strong randomness and conflict-freeness plays an essential role in such schemes. This talk will present recent advances in hierarchical access control sequence design, including the derivation of a theoretical bound characterizing the constraints of sequence set parameters, and the construction of two classes of optimal sequence sets that achieve maximum time-slot utilization. In particular, simulation results demonstrating up to a 9% reduction in symbol error rate, along with significant improvements in anti-interference and anti-eavesdropping performance, will be discussed.

Biography: She was the candidates for Academic and Technical Leaders in Sichuan Province, Young Scholar of Qingcheng Program in Sichuan Province and high leveloverseas talents in Sichuan Province. Postdoctoral fellow at the University of Electronic Science and Technology of China, visiting scholar at Nanyang Technological University, Singapore, and young scholar at XihuaUniversity. Senior member of the Chinese Computer Society, senior member of the Chinese Command and Control Society, and chairman of the 23-24 Chengdu Branch of the Youth Computer Science and Technology Forum of the Chinese Computer Society. Executive director of the Sichuan Provincial Federation of Science and Technology Youth, member of the Teaching Steering Committee of Public Security Technology and Safety Science and Engineering of Sichuan Ordinary Undergraduate Colleges and Universities. Her main research directions are confidentiality sequence analysis and design, information security, big data and itsintelligent processing, etc. He has published more than 40 research papers in international first-class academic journals such as IEEE Transactions on Information Theory, SCIENCE CHINA, IET, AIMS, IEICE, etc., of which more than 30 are included in SCI. He has long served as a reviewer for top journals such as IEEE Transactions on Information Theory and IET communications, and deputy editor-in chief of the international journal Journal of Data Science and Intelligent Systems. He won the first prize (first place) of Sichuan Computer Science and Technology Progress Award, and presided over many national and provincial projects, including the National Natural Science Foundation of China General Fund, the National Natural Science Foundation of China Youth Fund, the National Postdoctoral General Fund, and the Sichuan Science and Technology Support Project Youth Science and Technology Fund.

Speakers in 2026 to be announced soon......