Tutorial Speakers
Dr. Kaizhou Gao
Macau University of Science and Technology
Gao Kaizhou received the Ph.D. degree from Nanyang Technological University (NTU), Singapore, in 2016. He is currently an assistant professor with the Macau Institute of Systems Engineering, Macau University of Science and Technology. His research interests include intelligent computation, evolutionary algorithms, intelligent optimization, scheduling, and intelligent transportation. He has published over 150 refereed papers. He has been ranked in the top 2% of the world's scientists for four years. Now, he serves as an associate editor of IEEE Transactions on Intelligent Transportation Systems, Swarm and Evolutionary Computation, and Expert Systems with Applications.
Tutorial Title
Learning Assisted Evolutionary Algorithms for Solving Complex Scheduling Problems
Tutorial Abstract
This talk mainly introduces the theory, methods and algorithms of intelligent optimization, and their applications in production scheduling, traffic signal control and optimization, unmanned vessels task assignment and path planning, and intelligent medical treatment. It includes the introduction of evolutionary swarm intelligence algorithms, flexible job shop scheduling problems, distributed flow shop scheduling problems, intelligent traffic signal control and optimization, unmanned ship scheduling optimization and medical surgery scheduling problem. The method level mainly includes evolutionary algorithm, swarm intelligence algorithm, reinforcement learning algorithm and clustering algorithm. In particular, learning related algorithms are integrated with swarm intelligence and evolutionary algorithms. Finally, a brief introduction is made to the current research topics and some achievements of the research group.
Dr. Yuzhu Ji
Guangdong University of Technology
Yuzhu Ji received a Ph.D. degree from Harbin Institute of Technology (HIT), China, in 2019. He is an associate professor at School of Computer Science and Technology in Guangdong University of Technology. Before that, he spent one year at SCSE in Nanyang Technological University. His research interests are mainly in computer vision, with a current focus on video analysis and synthesis, human motion transfer, salient object segmentation and medical image analysis. He has published over 30 refereed papers. Now, he serves as a reviewer of TNNLS, TMM, Information Sciences, Pattern Recognition, Neurocomputing, Neural Computing & Applications.
Tutorial Title
Human Motion Transfer: Techniques, Models and Applications Tutorial
Tutorial Abstract
This tutorial mainly introduces the theory, methods and algorithms of human motion transfer with different task settings, and their applications in virtual reality, teleconferencing and digital human. It includes the introduction of one-shot, few-shot, and video-specific motion transfer tasks. The method level mainly includes feature warping, appearance style injection using generative adversarial models and stable diffusion models, person-specific models using neural scene representation and neural radiance field and Gaussian splatting. Finally, a brief introduction is made to the current research topics and some achievements of the research group.
