Fei Chao (SMIEEE)
Scholar

Fei Chao (SMIEEE)

Google Scholar ID: srS6rNMAAAAJ
Associate Professor, Department of Artificial Intelligence, Xiamen University
Machine LearningNetwork Architecture Searchand Neural Network Pruning
Citations & Impact
All-time
Citations
3,677
 
H-index
34
 
i10-index
94
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Publications: Several CCF-A class conference and journal papers
  • - Awards: Guided students to win multiple national and international competitions, such as the first prize in the China Undergraduate Computer Design Contest, second prize in the Fujian Province Challenge Cup, etc.
  • - Projects: Led several research projects, including the National Natural Science Foundation of China project on 'Development of Fuzzy Self-Organizing Brain Emotional Learning Neural Networks and Their Applications'
  • - Academic Affiliations: Served as associate editor for multiple international journals, such as the Knowledge-Based Systems journal
  • - Conference Organization: Involved in organizing several international academic conferences, such as the ICIRA-2019 International Conference on Intelligent Robotics and Applications as a special session chair
  • - Translations: Author of 'Developmental Robotics: From Human Infants to Robots' and other works
Research Experience
  • - Associate Professor at Xiamen University (since 2015)
  • - Assistant Professor at Xiamen University (2010-2015)
  • - Postdoctoral Research Fellow at Aberystwyth University (2009-2010)
Education
  • - PhD in Computer Science from University of Wales, Aberystwyth (2005-2009, ORSAS, EPSRC dual scholarship recipient)
  • - MSc in Computer Science from University of Wales, Aberystwyth (2004-2005, with distinction)
  • - BEng in Mechanical Engineering from Fuzhou University (2000-2004)
Background
  • Research interests include neural network compression, structure search and efficient training, imitation learning and deep reinforcement learning, as well as machine learning algorithms. Specializes in artificial intelligence, machine learning, and robotics.
Miscellany
  • Personal interests and hobbies not detailed