Chia-Yuan's Homepage

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611 Cowper St

Palo Alto, CA 94301

About me

I’m Chia-Yuan (Scott) Chang, an Applied Scientist at Amazon Rufus team. Before entering the industry, I was a Ph.D. student in 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 Long-context extension, RAG, and Generative Model Applications.

Currently, I focus on large-scale post-training for reasoning, including multi-rollout SFT with diverse teacher models to RL at scale, based on Slime with SGLang and Megatron for efficient training.

I’m open to Research Scientist or Research Engineer opportunities. Please don’t hesitate to reach out if you are seeking a candidate for these roles.

Email: cychang at tamu dot edu

News

  • Jun. 2025: Start my full-time job as an applied scientist at Amazon Rufus team at Palo Alto, CA

  • May. 2025: One paper accepted by ACL 2025 Main: MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation

  • May. 2025: One paper accepted by KDD 2025: CODA: Temporal Domain Generalization via Concept Drift Simulator

  • Nov. 2024: Start my internship as an applied scientist intern at Amazon Rufus team 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

  • 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]