Bing Su
Scholar

Bing Su

Google Scholar ID: d3g2VJQAAAAJ
Renmin University of China
Computer VisionMachine LearningPattern Recognition
Citations & Impact
All-time
Citations
1,365
 
H-index
20
 
i10-index
40
 
Publications
20
 
Co-authors
7
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published over thirty papers as first or corresponding author in top-tier journals and conferences such as TPAMI, IJCV, TKDE, TIP, ICML, NeurIPS, CVPR, and ICCV.
  • Selected as a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences, Microsoft Research Asia Star Program, Distinguished Young Scholar of Renmin University of China, and Outstanding Young Scientific Talent of the Institute of Software.
  • Led multiple National Natural Science Foundation of China (NSFC) projects, including both youth and general programs.
  • Served as an associate editor for the SCI journal 'Journal of Machine Vision and Applications'.
  • Served as area chair for CCF A-class conferences CVPR and NeurIPS.
Research Experience
  • August 2023 - Present: Long-term Associate Professor, Gaoling School of Artificial Intelligence, Renmin University of China
  • July 2020 - July 2023: Tenure-track Associate Professor, Gaoling School of Artificial Intelligence, Renmin University of China
  • October 2019 - January 2020: Star Program Visiting Researcher, Microsoft Research Asia
  • October 2018 - June 2020: Associate Researcher, Institute of Software, Chinese Academy of Sciences
  • April 2016 - September 2018: Assistant Researcher, Institute of Software, Chinese Academy of Sciences
Background
  • Research interests include computer vision, machine learning, and pattern recognition, with a focus on feature expression learning, metric learning, and temporal structure analysis for sequence data, and their applications in video analysis and action classification.
Miscellany
  • Interested in research; proficient in programming; diligent and hardworking. Welcomes students interested in his research areas to contact him. Teaches courses including Artificial Intelligence and Python Programming (undergraduate), Comprehensive Design of Artificial Intelligence (undergraduate research and practice), and Artificial Intelligence Practice (graduate).