Prof. Weifa Liang, (IEEE Fellow), City University of Hong Kong, China
梁维发教授是中国并行算法领域的奠基人之一，其学术贡献、教育传播与行业影响深远，直接推动了中国在并行图论算法与分布式计算方向的理论发展与工程实践‌。

Speech Title: AoI-Aware Intelligent Service Provisioning in Digital Twin-Assisted Mobile Edge Computing

Weifa Liang received the PhD degree from the Australian National University in 1998, the ME degree from the University of Science and Technology of China in 1989, and the BSc degree from Wuhan University, China in 1984, all in Computer Science. He is a Fellow of IEEE, and full professor in the Department of Computer Science at City University of Hong Kong (CityUHK). Prior to joining CityUHK in 2021, he was a Full Professor in the Australian National University (ANU) and worked for ANU over 20 years. His research interests include design and analysis of energy efficient routing protocols for wireless ad hoc and sensor networks, Internet of Things and Digital Twins, machine learning and LLM, Edge Computing (MEC) and Network Function Virtualization (NFV), design and analysis of parallel and distributed algorithms, approximation and online algorithms, combinatorial optimization and graph theory.  He has been actively publishing high quality papers in the prestigious venues including top journals (e.g., TON, TMC, TPDS, TC, TKDE, JVLDB, JSAC, TCOM, TWC, JPDC, Theoretical Computer Science) and conferences (e.g., INFOCOM, ICDCS, IPDPS, WWW, ICPP, PerCom). He has co-authored nearly 300 papers so far, and his work has been cited nearly 1,2300 by Google Scholar with Google index 61. His research are funded by Research Grants Council of the Hong Kong Special Administrative Region, China and Australian Research Council (ARC). He serves as an Associate Editor for IEEE Transactions on Communications and for Pervasive and Mobile Computing Journal, Elsevier, respectively. He is a Distinguished Contributor to the IEEE Computer Society.  He is one of founders of Parallel Graph Theory Algorithms in China in 1990s.

Prof. Zhen Lei, (IEEE Fellow, IAPR Fellow and AAIA Fellow), University of Science and Technology of China, China

Zhen Lei received the B.S. degree in automation from the University of Science and Technology of China, in 2005, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, in 2010, where he is currently a professor. He is IEEE Fellow, IAPR Fellow and AAIA Fellow. He has published over 200 papers in international journals and conferences with 40000+ citations in Google Scholar and h-index 92. He is associate editor-in-chief of Pattern Recognition, senior area editor of IEEE Trans. on Information Forensics and Security and associate editor of IEEE Transactions on Biometrics, Behavior, and Identity Science. His research interests are in computer vision, pattern recognition, and image processing. He is the winner of 2019 IAPR Young Biometrics Investigator Award.

Speech Title: Recent Advance on Deepfake Detection

Abstract: In this talk, I will introduce several recent works from our group for deepfake detection. Two aspects of deepfake detection techniques will be introduced. One is the generalized feature representation, including the clue exploitation from spatial and frequency domains and the joint learning of forgery and discomfort images. The other is the continue learning for endless forgery types. A shared and orthogonal LoRA subspaces and data-free replay based learning method are proposed to improve the catastrophic forgetting performance of model update.