Scholar
Rui Huang
Google Scholar ID: t8UduWwAAAAJ
The Chinese University of Hong Kong, Shenzhen
Citations & Impact
Citations
3,741
H-index
32
i10-index
64
Publications
20
Co-authors
19
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Published over 100 academic papers.
- - Led or participated in numerous projects funded by the National Natural Science Foundation of China, the Ministry of Science and Technology of China, and the Shenzhen Municipal Government.
- - Best Paper Award at the International Conference on Image and Graphics (ICIG) in 2023.
- - Second Prize in Natural Science at the Science and Technology Awards of the China Computer Federation (CCF) in 2018.
- - Best Student Paper Award at the IEEE International Conference on Multimedia and Expo (ICME) in 2014.
- - First Prize for Excellent Academic Papers in Natural Science from Hubei Province in 2014.
- - Supervised students who achieved top rankings in international competitions, such as the Winner of the Raw to RGB Mapping Challenge at the International Conference on Computer Vision (ICCV) in 2019 and the Winner of the Global AI Challenge on Meteorology at the IEEE International Conference on Data Mining (ICDM) in 2018.
Research Experience
- - Conducted postdoctoral research at the Computational Biomedicine Imaging and Modeling Center of Rutgers University from 2008 to 2010.
- - Became a faculty member at Huazhong University of Science and Technology after returning to China.
- - Worked as a research scientist at NEC Laboratories China from 2012 to 2016.
- - Currently an Associate Professor and a Presidential Young Fellow at The Chinese University of Hong Kong, Shenzhen.
Education
- - Ph.D., Rutgers, The State University of New Jersey, 2008, with Prof. Dimitris N. Metaxas and Prof. Vladimir Pavlovic.
- - M. Eng., Chinese Academy of Sciences, 2002, with Prof. Songde Ma.
- - B. Sc., Peking University, 1999.
Background
- Research Interests: Computer Vision, Pattern Recognition, Image Processing, Machine Learning. Biography: Professor Huang has conducted in-depth research in the fields of computer vision, pattern recognition, image processing, and machine learning, particularly in intelligent video analysis, robotic vision navigation, and autonomous driving.
Miscellany
- Teaching Area: CIE6004 Image Processing & Computer Vision; CSC3002 Programming Paradigms in C++; CSC1001 Programming Methodology in Python.
