Scholar
Bineng Zhong 钟必能
Google Scholar ID: hvRBydsAAAAJ
Guangxi Normal University, Professor; NEU, HIT, Huaqiao University
Citations & Impact
Citations
17,768
H-index
36
i10-index
69
Publications
20
Co-authors
24
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Led multiple projects funded by the National Natural Science Foundation of China, including key projects, general projects (3), and youth projects; served as SPC, PC member, Program Committee, and young editor for several top international conferences and journals; applied related theories and technologies in AI+education, biomedicine, intelligent manufacturing, and other fields; received first prize for provincial and municipal natural science excellent academic papers; published high-level papers such as 'Motion-Aware Object Tracking via Motion and Geometry-Aware Cues'.
Research Experience
- 2007-2008: Visiting researcher at the Institute of Automation, Chinese Academy of Sciences; 2008-2009: Visiting researcher at the Institute of Computing Technology, Chinese Academy of Sciences; 2010-2020: Professor at Huaqiao University; 2017-2018: Visiting scholar at Northeastern University, USA; 2020-present: Professor and doctoral supervisor at Guangxi Normal University
Education
- 2000-2010: Bachelor's, Master's, and Ph.D. from Harbin Institute of Technology; 2011-2013: Postdoctoral research at Xiamen University
Background
- Professor, doctoral supervisor, vice dean, and executive deputy director of a key laboratory of the Ministry of Education. Research interests include artificial intelligence, machine learning, computer vision, and big data analysis. Published over 200 papers, including more than 100 in top-tier journals and conferences like IEEE TPAMI and CVPR. Cited over 20,000 times on Google Scholar.
Miscellany
- Research interests include adaptive and autonomous learning, new generation of trustworthy, explainable, versatile, and secure artificial intelligence and new neural network computing principles and key technologies, computer vision, cloud-edge-end collaborative computing, and key technologies for all-age AI smart education services.
