Kuan-Hao Huang

Postdoctoral Research Associate
Department of Computer Science
University of Illinois Urbana-Champaign

I am a postdoc at the University of Illinois Urbana-Champaign, collaborating with Heng Ji. I received my Ph.D. in computer science at the University of California Los Angeles, where I worked with Kai-Wei Chang and Nanyun Peng. My research interests focus on natural language processing and machine learning. I specialize in developing trustworthy and generalizable language AI systems that are robust to variations in text structure and adaptable to new domains and languages. Some of the key highlights of my research include:

  • Knowledge Extraction and Generalization: Extracting structured information and human concepts from texts (DEGREE, TagPrime, TexEE) and generalizing to new domains (GENEVA, PrefixEmb).
  • Knowledge Transfer across Languages: Enhancing the cross-lingual understanding by leveraging auxiliary information or self-distillation techniques (RobustXLT, X-Gear, SALT, CLAP)
  • Robust Language Understanding: developing NLP models capable of capturing accurate semantic meaning under variations in text structure (SynPG, ParaBART, AMRPG, ParaAMR).

I am on the faculty job market this year. Feel free to contact me!

Office: 4101 Siebel Center for Comp Science, UIUC
Email: khhuang [at] illinois [dot] edu


  • [03.2024] Two papers are accepted by NAACL 2024
  • [01.2024] Our paper about spurious correlations in text classification is accepted by EACL-Findings 2024
  • [11.2023] Please check out our TextEE project about benchmakring event extraction
  • [10.2023] Our paper about easily updated text representations is accepted by EMNLP-Findings 2023
  • [09.2023] Please check out our AACL 2023 paper about zero-shot cross-lingual transfer
  • [07.2023] Our ParaAMR paper receives ACL 2023 Area Chair Award




  • Area Chair/Action Editor
    • Natural Language Processing: ACL Rolling Review (2024), ACL (2024)
  • Program Committee/Reviewer
    • Natural Language Processing: ACL Rolling Review (2021-2023), ACL (2021-2023), EMNLP (2021-2023), NAACL (2022-2024), EACL (2023-2024), COLM (2024)
    • Machine Learning: ICML (2020-2024), NeurIPS (2021-2023), ICLR (2021-2024), TMLR (2024)
    • Artificial Intelligence: AAAI (2022-2024)
  • Handbook Assistant
    • EMNLP 2018