Do Xuan Long
Scholar

Do Xuan Long

Google Scholar ID: uZyF8wwAAAAJ
PhD student, National University of Singapore
Machine LearningNatural Language ProcessingMulti-Agent System
Citations & Impact
All-time
Citations
1,606
 
H-index
13
 
i10-index
14
 
Publications
19
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'VISTA: A Test-Time Self-Improving Video Generation Agent' and 'What Makes a Good Natural Language Prompt?' in top conferences such as ACL, NAACL, and EMNLP. Won SPMS Outstanding Undergraduate Award 2023 (Outstanding Achievement) and Research Achievement Award by School of Computing, NUS.
Research Experience
  • Former Student Researcher at Google Cloud AI Research team; currently an Applied Scientist intern at Amazon Core Search.
Education
  • Ph.D. student in Computer Science at National University of Singapore (NUS), advised by Professors Min-Yen Kan, Kenji Kawaguchi, Nancy Chen, and Shafiq Joty. Received B.Sc. in Mathematics (Statistics) and Computer Science from Nanyang Technological University (NTU), advised by Prof. Shafiq Joty.
Background
  • Research interests include efficient adaptation of language and vision-language models, focusing on prompt analysis, design, and optimization.
Miscellany
  • Open to collaboration and new research ideas. Feel free to contact via email.