Hailong Jiang

Hailong Jiang

he/him

Tenure Track Assistant Professor in Computer Science at Youngstown State University. Research focuses on HPC systems, compiler technologies, and the intersection of program analysis and large language models (LLMs).

News & Updates

# 📰 News & Updates Stay updated with my latest research progress, publications, achievements, and career developments.
January 01, 2025
Publication
🎉 MAJOR ACHIEVEMENT: Our paper 'Can Large Language Models Understand IRs?' has been ACCEPTED to ICML 2025! This represents a significant breakthrough in my research career at the intersection of LLMs and compiler technologies.
December 15, 2024
Achievement
Successfully defended my PhD dissertation on HPC resilience analysis with LLMs.
November 20, 2024
Publication
HAPPA platform paper published in SRDS'24 - International Symposium on Reliable Distributed Systems.
November 15, 2024
Presentation
Presented PhD research at SC'24 Doctoral Showcase in Atlanta, GA.
October 01, 2024
Career
Accepted Tenure Track Assistant Professor position at Youngstown State University starting August 2025.
September 15, 2024
Research
LLM IR understanding research paper submitted to ICML 2025.
August 01, 2024
Achievement
Presented PhD research at SC'24 Doctoral Showcase - The International Conference for High Performance Computing, Networking, Storage, and Analysis in Atlanta, GA.
July 15, 2024
Experience
Finished research collaboration at Argonne National Laboratory.
July 01, 2024
Publication
HPC Loop Resilience Analysis paper accepted to HPEC'24 - IEEE High Performance Extreme Computing Conference.
June 01, 2024
Experience
Completed research internship at Los Alamos National Laboratory, developing FI-VIS tool for error propagation visualization.
May 01, 2024
Research
Research collaboration with Argonne National Laboratory on translation between parallelization languages.
April 01, 2024
Publication
VISILIENCE visualization framework paper published in PRDC'23 - IEEE Pacific Rim International Symposium on Dependable Computing.
March 01, 2024
Research
Developed comprehensive LLM IR understanding research framework, evaluating GPT-4, GPT-3, Gemma 2, LLaMA 3.1, and Code Llama capabilities.
February 01, 2024
Research
Enhanced HAPPA platform with transformer/LLM integration, achieving 30% improvement in resilience prediction accuracy.
January 01, 2024
Research
Started exploring applications of Large Language Models in healthcare AI and medical data analysis.