Kuan-Hao Huang

I am a final-year Ph.D. student in Computer Science at University of California Los Angeles, advised by Kai-Wei Chang. I am also working closely with Nanyun Peng. Before joining UCLA, I received my M.S. and B.S. from National Taiwan University, where I worked with Hsuan-Tien Lin. My research focuses on natural language processing and machine learning, with a particular interest in improving the reliability and robustness of NLP models for various tasks. These include learning text representations, controlled paraphrase generation, cross-lingual transfer, and low-resource information extraction. Please see my CV for more information.


  • [2023/04] Please check out our five papers accepted by ACL 2023!
  • [2022/10] Our paper about syntactically controlled paraphrase generation is accepted by EMNLP-Findings 2022
  • [2022/06] I start my research internhip at Meta AI
  • [2022/04] Our paper about generation-based event extraction for the low-resource setting is accepted by NAACL 2022




  • Program Committee/Reviewer
    • Natural Language Processing: ACL Rolling Review (2021-2023), ACL (2021-2023), EMNLP (2021-2022), NAACL (2022), EACL (2023)
    • Machine Learning: ICML (2020-2023), NeurIPS (2021-2023), ICLR (2021-2023)
    • Artificial Intelligence: AAAI (2022-2023)
  • Student Volunteer
    • ACL 2020
    • EMNLP 2021
  • Handbook Assistant
    • EMNLP 2018