Shuaichen Chang
Scholar

Shuaichen Chang

Google Scholar ID: enrSEP4AAAAJ
Amazon Web Services
Natural Language ProcessingVision and LanguageLarge Language Models
Citations & Impact
All-time
Citations
488
 
H-index
9
 
i10-index
9
 
Publications
15
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published multiple papers such as PRACTIQ: A Practical Conversational text-to-SQL dataset with Ambiguous and Unanswerable Queries (NAACL, 2025), You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL (NAACL, 2025). Participated in projects like Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness (ICLR, 2023), which was a Top 5% Paper (Oral).
Research Experience
  • Instructor for Introduction to Artificial Intelligence (OSU CSE3521) in Fall 2022. Currently working at AWS AI Lab, focusing on building advanced RAG systems.
Education
  • Ph.D. in Computer Science from The Ohio State University, advised by Prof. Eric Fosler-Lussier; B.S. from Fudan University, advised by Prof. Xipeng Qiu.
Background
  • Currently an applied scientist at AWS AI Lab. Research focuses on building robust and generalizable natural language interfaces, including unstructured documents, tables, databases, and map images. The team at AWS is working on advanced retrieval-augmented generation (RAG) systems for customers.
Miscellany
  • Co-organizing the Table Representation Learning workshop at ACL 2025.