Chia-Yuan's Homepage

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 context window extension of Large Language Models and data-centric solutions with generative models, making machine learning models more accessible to real-world applications.

I’m looking for Fall 2024 internship opportunities. Please don’t hesitate to contact me if you are looking for a fall internship.

Email: cychang at tamu dot edu

News

• 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)

• Jul. 2022: One paper accepted by ICML 2022

• Feb. 2021: One paper accepted by AAAI 2021

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