Chia-Yuan's Homepage

profile.jpg

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

  • Nov. 2024: Start my internship as an applied scientist intern at Amazon.com at Palo Alto, CA

  • Jul. 2024: One paper accepted by TKDD

  • Jun. 2024: One paper is selected as a Spotlight Paper by ICML 2024: LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning [GitHub]

  • May 2024: Start my internship as a research intern at Visa Research at Foster City, CA

  • May 2024: Two papers accepted by ICML 2024

  • Mar. 2024: One paper accepted by NAACL 2024

  • Jan. 2024: One prepreint about LLMs’ context window extention is now avaivale at arXiv: LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

  • Oct. 2023: One paper accepted by NeurIPS 2023 AI for Science Workshop

  • Oct. 2023: One paper selected as CIKM 2023 Best Demo Paper Honorable Mention

  • Oct. 2023: One paper selected as AMIA 2023 Best Student Paper Finalist

  • Aug. 2023: One paper accepted by CIKM 2023

  • 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

  • Jun. 2023: Give an invited tutorial on Fairness in Machine Learning for Healthcare at QPRC 2023

  • Jun. 2023: Receive NSF Travel Award for Quality and Productivity Research Conference (QPRC 2023)

  • Feb. 2021: One paper accepted by AAAI 2021

  • Oct. 2020: One paper accepted by TREC 2020 (2nd Place Award) [Website]