Jialiang Gu

George Mason University

Fairfax, VA, USA

Hi, I’m Jialiang Gu (谷嘉良), a first-year Ph.D. student in Computer Science at George Mason University, advised by Prof. Keren Zhou. I also collaborate closely with Prof. Jialu Zhang at the University of Waterloo.

My research interests focus on machine learning systems (MLSys) and LLM applications, as well as questions around teaching and learning in the LLM era. Currently, my work mainly spans three directions: (1) building ecosystem tools for next-generation GPU programming languages such as Triton; (2) developing LLM-based tools for code understanding, analysis, and explanation; and (3) enhancing LLM reasoning and reliability with techniques like static analysis and agent-based methods.

I spent quite a few years solving algorithmic puzzles competitively. Along the way, I won a Gold Medal at the ACM-ICPC Asia Regional Contest and became the 2024 Hubei Provincial ICPC Champion.

I’m always open to conversations and collaborations around these topics. Feel free to reach out.

news

Jul 05, 2026	I will attend FSE 2026 to present our FSE-IVR paper. See you in Montréal!
May 18, 2026	I will join Microsoft Research AIFX Group as research intern! See you in Redmond.
Apr 01, 2026	One first author paper, “Context-Aware Feedback Compression in Online Judge Programming with LLMs,” was accepted to FSE-IVR 2026!
Aug 27, 2025	I have joined GMU as a CS PhD student, advised by Keren Zhou!

selected publications

FSE-IVR

Context-Aware Feedback Compression in Online Judge Programming with LLMs

Jialiang Gu, Keren Zhou, Daming Li, and 2 more authors

In Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track, Apr 2026

Accepted to FSE-IVR 2026

Bib

@inproceedings{gu2026context,
  title = {Context-Aware Feedback Compression in Online Judge Programming with LLMs},
  author = {Gu, Jialiang and Zhou, Keren and Li, Daming and Shi, Hanyuan and Zhang, Jialu},
  booktitle = {Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track},
  year = {2026},
  month = apr,
  category = {publication},
  note = {Accepted to FSE-IVR 2026}
}