Boyang "Albert" Li
Scholar

Boyang "Albert" Li

Google Scholar ID: QwL4z2UAAAAJ
Nanyang Associate Professor, Nanyang Technological University
Artificial IntelligenceMultimodal LearningNarrative IntelligenceData-centric AI
Citations & Impact
All-time
Citations
12,342
 
H-index
26
 
i10-index
54
 
Publications
20
 
Co-authors
28
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Notable works in multimodal learning include InstructBLIP, Plug-and-Play VQA, and VisualGPT. His work in Data-centric AI covers understanding datasets (factor analysis of datasets), data influence on model decisions (HyDRA), selection of training data (COINCIDE), and synthesis of training data from generative AI (SPARCL). Another research direction is building AI that understands commonsense causal relations, with benchmarks such as BlackSwanSuite and M-SyMoN.
Research Experience
  • Prior to NTU, he was a Senior Research Scientist at Baidu Research USA, and a Research Scientist and Group Leader at Disney Research.
Education
  • Received Ph.D. degree from Georgia Institute of Technology.
Background
  • Associate Professor at the College of Computing and Data Science, Nanyang Technological University, Singapore. Research interests broadly in Multi-modal Learning, Data-centric AI, Machine Learning, and Computational Narrative Intelligence.
Miscellany
  • Teaches a PhD-level Deep Learning course, CE7454, which consistently receives student scores of 90/100 or above.