Chengbin Peng
Scholar

Chengbin Peng

Google Scholar ID: sQ2byRcAAAAJ
Ningbo University
Artificial IntelligenceMachine VisionGraph LearningSemi-supervised Learning
Citations & Impact
All-time
Citations
729
 
H-index
15
 
i10-index
21
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Research papers are available in Google Scholar.
Research Experience
  • Associate Professor in Computer Science at Ningbo University. Research involves various areas including graph analysis and computer vision.
Education
  • I completed my Ph.D. degree in computer science from KAUST in 2015, supervised by Dr. David Keyes. I received my master’s and bachelor’s degrees from Zhejiang University.
Background
  • My research generally focuses on graph analysis (node clustering, link prediction, etc.) and computer vision (semi-supervised learning, segmentation, detection, etc.). My group also tries to design machine learning algorithms to tackle problems in multiple application fields, such as motion analysis for marine animals and taxi trips, machine vision for vehicle and surveillance systems, decision-making for medical surgeries, graph analysis for brain networks, etc. Besides these collaborative researches, I am also interested in graph mining, semi-supervised learning, and computer vision.
Miscellany
  • Blog mentions 'Nurture the Bright 🙂 Explore the Light'.