Kuan-Hao Huang

Assistant Professor
Department of Computer Science and Engineering
Texas A&M University
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I am an assistant professor in the Department of Computer Science and Engineering at Texas A&M University, where I lead the FLAIR Lab. Previously, I was a postdoctoral researcher at the University of Illinois Urbana-Champaign, collaborating with Heng Ji. I received my Ph.D. in computer science from 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, particularly in developing trustworthy and generalizable language AI systems. These systems are designed to be robust to variations in text structure and adaptable to new domains and languages. Currently, my research includes several key directions:

  • 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.

For prospective students: I am actively looking for self-motivated students to join my group in Spring/Fall 2025. If you are interested in knowledge extraction, large language models, multilingual NLP, or multimodal learning, please find more information here.

Office: 329 Peterson Building, TAMU
Email: 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, 2024-present
  • Postdoc, Department of Computer Science, University of Illinois Urbana-Champaign, 2023-2024
  • 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), EMNLP (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 (2022-2025)
  • Handbook Assistant
    • EMNLP 2018