Jey Han Lau
Scholar

Jey Han Lau

Google Scholar ID: MFi65f4AAAAJ
Computing and Information Systems, The University of Melbourne
natural language processingartificial intelligencedeep learningnatural language generationmisinformation
Citations & Impact
All-time
Citations
5,672
 
H-index
34
 
i10-index
69
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Several papers have won Best Paper Awards, such as the study on the relation between empathy and toxicity at ALTA 2023, and the parallel sentiment dataset for Indonesian languages at EACL 2023; Collaboration with Justice Connect on an AI project to support connecting disadvantaged groups to pro-bono lawyers has won multiple awards.
Research Experience
  • Senior Lecturer at the School of Computing and Information Systems, The University of Melbourne, affiliated with the NLP Group and Information and Influence Hub. Has worked on various projects involving text generation, influence operations, etc.
Background
  • Field of research is in Natural Language Processing (NLP), aiming to develop computational models to understand human languages. Research interests include discovering topics from document collections, understanding the nature of grammar knowledge, analyzing the conversation dynamics of online misinformation, and generating poetry and stories.
Miscellany
  • Involved in an art+science chatbot project exhibited at NGV Australia; Interviewed by several media outlets discussing generative AI risks and its impact on the workforce.