Kai-Wei Chang
Scholar

Kai-Wei Chang

Google Scholar ID: fqDBtzYAAAAJ
Associate Professor, UCLA
Natural Language ProcessingMachine LearningVision-LanguageTrustworthy NLP
Citations & Impact
All-time
Citations
38,376
 
H-index
72
 
i10-index
246
 
Publications
20
 
Co-authors
61
list available
Resume (English only)
Academic Achievements
  • - Received several awards including Sloan Research Fellowship (2021), Okawa Research Grant Award (2018), EMNLP Best Long Paper Award (2017), and KDD Best Paper Award (2010)
  • - Several papers are top-10 cited at AI conferences
  • - Published numerous important papers in the fields of NLP and machine learning
Research Experience
  • - Serves as an Associate Professor at UCLA
  • - Works as an Amazon Scholar at Alexa AI
  • - Organizes Trustworthy NLP workshops
  • - Leads multiple research projects involving video-language alignment, plug-and-play compositional reasoning, object recognition, etc.
Background
  • - Research interests include: trustworthy natural language processing, multimodal foundation models, and reasoning in NLP
  • - Associate Professor at UCLA and an Amazon Scholar at Alexa AI
  • - Published pioneering works on aligning NLP models with human values, focusing on fairness in NLU and generative AI
  • - Developed VisualBERT, one of the first vision-language models
  • - Studied methods for LLMs to adhere to specified constraints and their commonsense, mathematical, and logical reasoning capabilities
Miscellany
  • - Looking for prospective students and postdocs to join the team
  • - Research supported by NSF, IARPA, ONR, NIH, DARPA, and industrial partners such as Taboola, Amazon, Facebook, CISCO, OptumLabs, and Google