Kuan-Hao Huang

Postdoctoral Research Associate
Department of Computer Science
University of Illinois Urbana-Champaign
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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 research directions I am currently working on include:

  • Knowledge Extraction and Generalization: Extracting structured information and human concepts from texts and generalizing to new domains.
  • Knowledge Transfer across Languages: Enhancing the cross-lingual understanding ability by leveraging auxiliary information or self-distillation techniques.
  • Robust Language Understanding: Developing models capable of capturing accurate semantic meaning under variations in text structure.
  • Multimodal Understanding and Alignment: Aligning human concepts across textual and visual space and improving cross-modal understanding.

I will be joining the Department of Computer Science and Engineering at Texas A&M University as a tenure-track assistant professor in Fall 2024. I am actively looking for motivated students to join my group for Spring/Fall 2025. If you are interested in knowledge extraction, large language models, multilingual NLP, or multimodal learning, please apply here and fill out this form.

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

News

  • [05.2024] Please check out our ACL 2024 Findings paper about event extraction benchmark
  • [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

Experience

  • Assistant Professor, Department of Computer Science and Engineering, Texas A&M University, starting in 2024
  • Postdoc, Department of Computer Science, University of Illinois Urbana-Champaign, 2023-present
  • Ph.D., Department of Computer Science, University of California Los Angeles, 2018-2023
  • M.S., Department of Computer Science and Information Engineering, National Taiwan University, 2014-2016
  • B.S., Department of Computer Science and Information Engineering, National Taiwan University, 2010-2014

Awards


Services

  • 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 (2021-2024), ICLR (2021-2024), TMLR (2024)
    • Artificial Intelligence: AAAI (2022-2024)
  • Handbook Assistant
    • EMNLP 2018