Recently, the China Computer Federation (CCF) Awarding Committee announced the results of the 2023 "CCF Doctoral Dissertation Incentive Program", with a total of 9 doctoral dissertations selected and 5 doctoral dissertations nominated. Yajing Zheng, a 2022 graduate of the School of Computer Science and the National Engineering Research Center for Video and Vision Technology of Peking University, was selected for her dissertation "Retinal Coding Model and Ultra-high-speed Application Research of Pulsed Vision", and the supervisor was Prof. Tiejun Huang.
The CCF Doctoral Dissertation Incentive Program was established by the China Computer Federation to promote scientific and technological progress in the field of computer science in China, encourage innovative research, encourage doctoral students in the field of computer science to devote themselves to research, pragmatic innovation, solve theoretical and practical problems that need to be solved in the field of computer science, and commend young scholars who have made outstanding achievements.
Introduction to the doctoral dissertation
Yajing Zheng's doctoral dissertation explores the connection between biological vision and brain-like intelligence, highlighting the importance of pulsed signals in the representation and processing of information. This is the current cutting-edge research direction in the field of artificial intelligence and computational neuroscience, which is of great significance for future applications of visual computing and artificial intelligence. The doctoral dissertation focuses on the retinal coding model and ultra-high-speed application of pulsed vision, explores the biological principles behind the retinal encoding of external visual stimuli, and proposes an ultra-high-speed pulsed vision reconstruction and detection and tracking algorithm for retinal pulse cameras, and carries out engineering implementation verification. The paper belongs to the interdisciplinary field of brain-like intelligence and biological vision, and has published many original and outstanding achievements in top journals and academic conferences in life sciences and computer science, and has also applied for a number of national technical invention patents. The ultra-high-speed applications of neural coding and pulsed cameras have great application potential: neural coding models can be applied to the development of retinal prostheses and neuromorphic vision chips; The ultra-high-speed vision algorithm can be applied to autonomous driving, drones, scientific research observation, etc.; It has both scientific value and economic benefits.
Introduction of the author of the paper, Yajing Zheng
Dr. Yajing Zheng is a Boya postdoctoral fellow at the School of Computer Science, Peking University, and the deputy secretary-general of the Brain-like Vision Committee of the Chinese Society of Image and Graphics. She has been engaged in brain-like vision-related research, and has published more than 10 top international journals and conference papers as the first author/corresponding author, including TPAMI, Cell sub-journal Patterns, TIP, CVPR and NeurIPS, etc., and has applied for more than 10 national technical invention patents around pulsed vision. She presided over the development of SpikeCV, an open-source framework for pulse vision, and was rated as an excellent developer, and the project was awarded the OpenI 2022 Outstanding Incubation Project Award. At present, she has presided over projects such as the 9th China Association for Science and Technology Young Talent Lifting Project, the National Natural Science Foundation of China (Youth Project), and the Postdoctoral Science Foundation (station) special funding. She has won many honors such as the Outstanding Postdoctoral Award of Peking University, the Outstanding Doctoral Dissertation, President Scholarship for Ph.D. Student, the May 4th Scholarship, Merit Student Pacesetter, and the First Prize of the International Collegiate Competition for Brain-inspired Computing.
Introduction of supervisor Tiejun Huang
Tiejun Huang is a professor at the School of Computer Science at Peking University, dean of the Beijing Academy of Artificial Intelligence, director of the National Key Laboratory of Multimedia Information Processing, winner of the National Science Foundation for Distinguished Young Scholars, Changjiang Distinguished Professor and a leading talent in scientific and technological innovation of the Ten Thousand Talents Program. His research interests are visual information processing and brain-like intelligence, and he has made important contributions to efficient video coding standards and visual big data analysis and processing technology systems, proposed pulsed vision models and developed ultra-high-speed pulsed vision chips and systems, and won the second prize of the National Technological Invention Award once and the second prize of the National Science and Technology Progress Award twice. He has published more than 300 academic papers, formulated more than 20 national standards, international standards and IEEE standards as the main drafter, authorized more than 100 Chinese and international invention patents, and is a fellow of China Computer Federation, Chinese Society of Artificial Intelligence and China Society of Image and Graphics. He has won many honors such as the 2023 Wu Wenjun Artificial Intelligence Outstanding Contribution Award and the 2023 Beijing Scholar.
Prof. Tiejun Huang (left) and Dr. Yajing Zheng (right)
