Chia-Yuan's Homepage
Peterson, 430
400 Bizzell St
College Station, TX 77843
About me
I’m Chia-Yuan (Scott) Chang, third-year Ph.D. student from the Department of Computer Science and Engineering at Texas A&M University, advised by Dr. Na Zou and Dr. Xia “Ben” Hu.
My research interests include Large Language Models, Generative Model Applications, Domain Generalization, and Fair Machine Learning in Healthcare.
Currently, I focus on linearizing and hybrid Large Language Models and context window extension of Large Language Models, making LLMs more accessible to real-world applications.
I’ll graduate in 2025 Spring, and I’m looking for Full-time Applied Scientist or MLE opportunities. Please don’t hesitate to reach out if you are looking for a full-time candidate.
Email: cychang at tamu dot edu
News
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Nov. 2024: Start my internship as an applied scientist intern at Amazon.com at Palo Alto, CA
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Jul. 2024: One paper accepted by TKDD
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Jun. 2024: One paper is selected as a Spotlight Paper by ICML 2024: LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning [GitHub]
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May 2024: Start my internship as a research intern at Visa Research at Foster City, CA
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May 2024: Two papers accepted by ICML 2024
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Mar. 2024: One paper accepted by NAACL 2024
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Jan. 2024: One prepreint about LLMs’ context window extention is now avaivale at arXiv: LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
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Oct. 2023: One paper accepted by NeurIPS 2023 AI for Science Workshop
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Oct. 2023: One paper selected as CIKM 2023 Best Demo Paper Honorable Mention
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Oct. 2023: One paper selected as AMIA 2023 Best Student Paper Finalist
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Aug. 2023: One paper accepted by CIKM 2023
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Aug. 2023: Give an invited tutorial on Machine Learning in Finance Workshop at KDD 2023
[Website][Slides][Code] -
Jul. 2023: Two papers accepted by AMIA 2023
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Jun. 2023: Give an invited tutorial on Fairness in Machine Learning for Healthcare at QPRC 2023
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Jun. 2023: Receive NSF Travel Award for Quality and Productivity Research Conference (QPRC 2023)
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Feb. 2021: One paper accepted by AAAI 2021
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Oct. 2020: One paper accepted by TREC 2020 (2nd Place Award) [Website]