Quan Fang
Scholar

Quan Fang

Google Scholar ID: 6zJlUNEAAAAJ
Ph.D. of Institute of Automation of the Chinese Academy Sciences (CASIA)
Knowledge Graph Data MiningMultimediaSocial Media
Citations & Impact
All-time
Citations
2,573
 
H-index
26
 
i10-index
39
 
Publications
20
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Paper 'Contrastive Multi-Modal Knowledge Graph Representation Learning' accepted by IEEE TKDE (2023)
  • Best Paper Award, China Conference on Multimedia (2019)
  • Best Paper Nominee, ACM Multimedia (2019)
  • Outstanding Frontier Technology Demonstration Award, China Conference on Multimedia (2018)
  • Excellent Ph.D. Dissertation, Chinese Academy of Sciences (2016)
  • Distinguished Dissertation Award, Chinese Association for Artificial Intelligence (CAAI, 2016)
  • Distinguished Dissertation Award Nominee, China Computer Federation (CCF, 2016)
  • Pandeng Prize, CASIA (2014)
  • Microsoft Research Asia Fellowship (2013)
  • National Ph.D. Scholarship (2013)
  • Student Travel Grant, ACM Multimedia (2013)
  • Baidu Scholarship Finalist (2013)
  • Third Place (Team Leader), MSR-Bing Image Retrieval Challenge (2013)
  • Best Student Paper Award, International Conference on Multimedia Modeling (MMM 2013)
  • Excellent Student, University of Chinese Academy of Sciences (2012–2013)
Background
  • Currently a Research Professor at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT)
  • Leader of the Multimedia Knowledge Computing (MKC) Group
  • Research interests include multimodal data mining, knowledge graph construction and reasoning, and large language models
  • Previously an Associate Professor at the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
  • Also leads the Zhuanzhi Group, developing the Zhuanzhi.AI system to enable effective and efficient knowledge discovery