Scholar
Kangda Wei
Google Scholar ID: hQ1bio8AAAAJ
Texas A&M University
Citations & Impact
Citations
93
H-index
4
i10-index
3
Publications
11
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - EMNLP 2025: "Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs"
- - ACL 2025: "LegalCore: A Dataset for Event Coreference Resolution in Legal Documents"
- - ACL 2025 (NLP4PosImpact): "CliME: Evaluating Multimodal Climate Discourse on Social Media"
- - WACV 2025: "UALBench: The First Comprehensive Unusual Activity Localization Benchmark"
- - Awards & Recognition:
- - Texas A&M University CSE Department Travel Grant (2023, 2024)
- - Ph.D Qualification Exam - 98th percentile (2024)
Research Experience
- - Aug 2023 - Present: Research Assistant, Texas A&M University, Natural Language Processing Lab, Advisor: Prof. Ruihong Huang
- - May 2022 - May 2023: Visiting Research Assistant, Johns Hopkins University, Machine Reading & Question Decomposition, Mentor: Prof. Benjamin van Durme
- - May 2021 - Aug 2021: Visiting Research Assistant, University of California, Santa Barbara, Multilingual COVID-19 Question Answering System, Mentor: Prof. William Wang
- - Jan 2021 - Jun 2023: Research Assistant, University of North Carolina, Chapel Hill, Learning from Language Lab, Advisor: Prof. Shashank Srivastava
- - May 2024 - Aug 2024: Applied Scientist Intern, Bosch Research, Sunnyvale CA, Video Understanding with Multi-Modal Multi-Agent System, Mentors: Zhengyu Zhou, Bingqing Wang, Jun Araki, Lukas Lange, Zhe Feng
Education
- - 2023 - Present: Ph.D. in Computer Science, Texas A&M University, Natural Language Processing, Advisor: Prof. Ruihong Huang (Passed Qualification Exam at 98th percentile)
- - 2022 - 2023: M.S. in Computer Science, University of North Carolina at Chapel Hill, Machine Learning & NLP, Advisor: Prof. Shashank Srivastava
- - 2019 - 2022: B.S. in Computer Science & Statistics, University of North Carolina at Chapel Hill, Double Major
Background
- - Research Interests: Large Language Models, Natural Language Processing, Multi-Modal Learning, Multi-Agent Systems, Video Understanding
- - Professional Field: Natural Language Processing
- - Background: Second-year PhD student in the Natural Language Processing Group at Texas A&M University, advised by Prof. Ruihong Huang. Before becoming an Aggie, graduated with a BS/MS degree in Computer Science from the University of North Carolina at Chapel Hill, where he was advised by Prof. Shashank Srivastava.
Miscellany
- - Personal Interests: Not specified
