Current Professional Societies:

IEEE Member, CCF Member

Research Areas:

(1) Artificial Intelligence, deep learning and computer vision;

(2) high-quality reconstruction and fusion of image/video;

(3) target detection and tracking;

(4) real-time embedded processing system;

Honors:

Ri Xin Individual, and Young Outstanding Individual in BJUT

Publications:

[1] Jiafeng Li , Li Zhuo , Hong Zhang , Guoqiang Li ,, and Naixue Xiong ,  Effective Data-Driven Technology for Efficient Vision-Based Outdoor Industrial Systems[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 16, NO. 7, 2020,7:4344-4354

[2] Li Jiafeng, Zhang Hong, Yuan Ding, et al. Single image dehazing using the change of detail prior[J]. Neurocomputing, 2015: 1-11.

[3] Li Jiafeng, Li Chenhao, Liu Jihong, Zhang Jing, Zhuo Li, Wang Meng. Personalized mobile video recommendation based on user preference modeling by deep features and social tags. Applied Sciences-Basel,2019,9(18):1-20

[4]Zhang Hong，Li Jiafeng, Yuan Ding, et al. Haze removal from single images based on a luminance reference model[J]. Optik, 2014, 125(17): 446-450.

[5]Zhang Qiang, Zhuo Li , Li Jiafeng , Zhang Jing, Li Xiaoguang, and Zhang Hui. Vehicle color recognition using Multiple-Layer Feature Representations of lightweight convolutional neural network[J]. Signal Processing, 2018, 147: 146-153.

Personal Statement

Jiafeng Li received his Ph.D. degree in Pattern Recognition and Intelligence System from the Beihang University in 2016. He is currently Lecturer in Beijing University of Technology. He is also working with the Beijing Key Laboratory of Computational Intelligence and Intelligent System in Beijing University of Technology. His research interest is image/video processing, high-quality reconstruction and fusion of image/video, real-time embedded processing system.