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Oscar Chew

Oscar Chew

Hi there! I’m a Ph.D. student in Computer Science at Texas A&M University, advised by Prof. Kuan-Hao Huang. My research focuses on Trustworthy Natural Language Processing and Multimodal Learning, with an emphasis on the robustness and safety of large language models and vision-language models. I have also worked on industry AI research at Adobe Research and ASUS. I received my M.S. and B.S. in Computer Science and Information Engineering from National Taiwan University, where I was advised by Prof. Hsuan-Tien Lin. Outside of research, I enjoy badminton, cooking and exploring new places.

Reach me at: oscarchew@tamu.edu


šŸ—žļø News
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2026.08 Our paper on backdoor defense has been accepted to EMNLP 2026 Findings.
2026.07 I will present our work on VLM center bias at COLM 2026. See you in San Francisco.
2026.04 Passed my PhD qualifying exam. Gig 'em! šŸ‘
2026.03 Excited to join Adobe as a Research Scientist Intern this summer. Catch me in San Jose!
2025.05 Our paper on defect generation has been accepted to ICCV 2025.
2025.05 Our paper on knowledge graph question answering has been accepted to ACL 2025 SRW.
2025.03 I will be starting my Ph.D. at the FLAIR Lab, Texas A&M University this August!

šŸŽ“ Education
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Ph.D., Computer Science, Texas A&M University, Aug 2025 - Present
M.S., Computer Science and Information Engineering, National Taiwan University, Sep 2021 - Jun 2023
B.S., Computer Science and Information Engineering, National Taiwan University, Sep 2017 - Jun 2021


šŸ‘ØšŸ»ā€šŸ’» Work Experience
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Research Scientist Intern, Adobe Research, May 2026 - Present
Research Engineer, ASUS Singapore, Nov 2023 - Jul 2025
Research Intern, The Chinese University of Hong Kong, Jun 2023 - Aug 2023
Machine Learning Engineer Intern, Jubo Health, Jul 2022 - Sep 2022


šŸ«±šŸ»ā€šŸ«²šŸ¼ Professional Services
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Journal reviewer:
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Dependable and Secure Computing (TDSC)
Conference reviewer: ACL Rolling Review