Special Session 2: Active Vision and Interaction 主动视觉和交互
Introduction: TBA
Organizer
Lihui Wang 王立辉
Soochow University, China 苏州大学
Biodata: Lihui Wang received Ph.D. degree from the University of Tokyo, Japan, in 2014, and then he was a Project Assistant Professor and Project Researcher in the same university till 2019. He was then a professor of Engineering at the Guangdong Academy of Sciences, China to 2024. Currently, he is a professor in Soochow University, China. His research interests include adaptive optics system, high-speed visual feedback, dynamic image perception, and dynamic interaction.
Special Session Speakers
Tao Peng 彭涛
Soochow University, China 苏州大学
Biodata: Dr. Tao Peng is an Associate Professor in Soochow University, China, since 2022. Before that, Dr. Peng received his Ph.D. degree in the Department of Computer Science and Technology at Soochow University in 2019. From 2020 to 2022, he was a postdoctoral researcher in the Department of Health Technology and Informatics at Hong Kong Polytechnic University, and Department of Radiation Oncology at University of Texas Southwestern Medical Center, Dallas, USA, successively. During this period, he obtained the “Research Talent” award from Hong Kong government. He has published more than 50 peer-reviewed journal/conference papers, including 21 SCI source journal papers (19 papers in the SCI Zone 2 or above, including 6 papers in the Top SCI Zone 1) and 8 CCF conference papers. In addition, the total impact factor (IF) of all the journal publications as the first author is IF > 135. He now serves as Guest Associate Editor of Medical Physics journal, Academic Editor of PLoS ONE journal, a Co-Editor of Special Topic at Frontiers in Signal Processing journal, Program Committee of 20th PRICAI-2023 and iWOAR 2023 conference, and a reviewer of more than 20 high-quality journals/conferences, including IEEE Trans. Intell. Transp. Syst., Med. Phys., Quant. Imaging. Med. Surg., Secur. Commun. Netw., Imaging Sci. J., J. Health Inform., IEEE Consum. Electron. Mag., Biocybern. Biomed. Eng., Heliyon, IEEE Access, IEEE ISBI, IEEE SMC, MMM, MICCAI. His main research interests include medical image processing, pattern recognition, machine learning, and their applications. His homepage is https://taopeng401.github.io/ or http://web.suda.edu.cn/pt/.
Yang Liu 刘杨
Chiba University, Japan 千叶大学
Biodata: Yang Liu received a B.S. degree in Mechanical Engineering from the Hebei University of Science and Technology, China, in 2013 and an M.S. degree, a Ph.D. degree in Science and Engineering from Chiba University, Japan, in 2017 and 2021, respectively. In 2021, he was chosen as one of the Beijing Overseas Talent Aggregation Project. From 2021 to now, he has led the visual technology R&D department in Agile-Robots. SE. His research interests include developing high-speed vision systems, 1kHz visual-based target tracking, and high-performance visual computing.
Yan Hu 胡衍
Southern University of Science and Technology, China 南方科技大学
Biodata: Yan Hu is associate professor at the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech). She is the academic leader of the surgical assistance research direction for the iMed intelligent medical imaging team, and a high-level talent in Shenzhen. She holds a Ph.D. from the University of Tokyo, Japan, and completed her postdoctoral studies at Shanghai Jiao Tong University. Currently working at SUSTech, her main research areas include medical imaging and video processing, and intelligent surgical assistance. She has published over 80 papers, including about 50 as the first or corresponding author, with 16 papers in top international journals such as IEEE TPAMI, TMI, and MIA. She has been granted 10 invention patents and has presided over 7 research projects, including the National Natural Science Foundation for Young Scientists and provincial general projects. She has also participated in 5 research projects, including major scientific and technological instrument projects of the Ministry of Science and Technology. She has been a long-term reviewer for journals and conferences such as IEEE TPAMI/TMI and AAAI, and contributed to the writing of the textbook "Introduction to Artificial Intelligence".
Qin Zhang 张琴
South China University of Technology, China 华南理工大学
Biodata: Qin Zhang is a professor at the School of Mechanical and Automotive Engineering, South China University of Technology. She obtained her Ph.D. from Kanazawa University in Japan in 2000. Her research primarily focuses on the development and application of robots and micro-operation systems. She has successfully completed numerous national projects, including initiatives under the National "863" Plan, the "12th Five-Year Plan" and "13th Five-Year Plan" special programs, the National Natural Science Foundation, and Guangdong Province's science and technology support programs. Some of the developed products have been applied to practical micro-operation production processes.