Kuan-Hao Huang
Department of Computer Science and Engineering
Texas A&M University
I am an Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University, where I lead the FLAIR Lab. Before that, 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 focuses on natural language processing, particularly in developing trustworthy and generalizable language AI systems. These systems aim to understand human concepts, speak human languages, and perform logical reasoning. They are also designed to be robust to semantic-invariant changes and adaptable to new domains and languages. Currently, my research includes several key directions:
- Robustness of Large Langauge Models (LLMs): Investigating various robustness challenges that cause unpredictable behavior in LLMs, such as vulnerability to adversarial inputs, inconsistency across domains, and sensitivity to semantically irrelevant changes.
- Multimodal Learning and Alignment: Exploring how models can effectively integrate and align information from multiple modalities—such as text, images, and videos—and enhance their capability to understand and reason across different modalities.
- Text Understanding across Languages: Studying how models extract and learn common knowledge across different languages, enhance cross-lingual understanding, and improve the knowledge transfer between languages.
For prospective students: I am looking for self-motivated students to join my group in Fall 2025. If you are interested in large language models, multimodal learning, or multilingual NLP, please find more information here.
Phone: (979) 458-2205
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
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., Computer Science, University of California Los Angeles, 2018-2023
- M.S., Computer Science and Information Engineering, National Taiwan University, 2014-2016
- B.S., Computer Science and Information Engineering, National Taiwan University, 2010-2014
Awards
- Area Chair Award, ACL 2023, 2023
- Thesis Honorable Mention Award, Taiwanese Association for Artificial Intelligence, 2016
- Fourth Place, KDD Cup 2015, 2015
- Second Place, ICASSP Signal Processing Cup, 2014
- First Place, Track 1 of KDD Cup 2013, 2013
- First Place, Track 2 of KDD Cup 2013, 2013
Services
-
Area Chair/Action Editor
- Natural Language Processing: ACL Rolling Review (2024), ACL (2024), EMNLP (2024)
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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 (2021-2025), TMLR (2024)
- Artificial Intelligence: AAAI (2022-2025)
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Handbook Assistant
- EMNLP 2018