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).

Curriculum Vitae

Contact Information

Hailong Jiang
Address: Youngstown, OH, USA
Phone: (937) 789-3969
Email: hjiang@ysu.edu
Alternative Email: jianghl106@gmail.com
Website: hjiang13.github.io
GitHub: hjiang13
LinkedIn: Hailong Jiang
Google Scholar: Hailong Jiang
ORCID: 0000-0003-3246-7177

Summary

Tenure Track Assistant Professor in Computer Science at Youngstown State University. My research focuses on HPC systems, compiler technologies, and the intersection of program analysis and large language models (LLMs) to build intelligent infrastructure for scientific computing. Meanwhile, I’m increasingly interested in applying LLMs to medical data analysis, especially in building interpretable and reliable AI for healthcare. I’m actively exploring opportunities to contribute to interdisciplinary research at the intersection of AI and medicine.

Education

Ph.D. in Computer Science
Kent State University, Kent, OH | August 2018 to August 2025
Dissertation: “Research on resilience in high-performance Computing (HPC) applications with Large Language Models”
Supervised by Prof. Qiang Guan
Featured at SC’24 Doctoral Showcase - Premier HPC conference
Published in SRDS’24 - International Symposium on Reliable Distributed Systems

M.S. in IC Engineering
University of Chinese Academy of Sciences, Beijing, China | August 2014 to May 2017
Thesis: “The Study of Cu2ZnSnS4 films generation by sulfur-free annealing process and device application”

B.S. in Electronic Science and Technology
Xidian University, Xi’an, China | August 2010 to June 2014
Thesis: “A novel infrared object tracking algorithm”

Professional Experience

Research Assistant
Kent State University | 2018-Present

  • Lead research projects in High-Performance Computing resilience analysis
  • Built a soft error simulation platform on LLVM
  • Developed HAPPA platform with transformer/LLM integration for resilience prediction
  • Published HAPPA research in SRDS’24 - International Symposium on Reliable Distributed Systems
  • Conducted pioneering research on LLM understanding of Intermediate Representations
  • Improved resilience prediction accuracy by 30%
  • Built visualization framework for error propagation study using control-flow graphs
  • Presented at SC’24 Doctoral Showcase - Premier HPC conference
  • Supervised by Prof. Qiang Guan

Research Aide Technical
Argonne National Laboratory | Feb 2023-Aug 2023

  • Research topic: translation between parallelization languages
  • Completed metadata process in “EXCELLENT” project which translates parallelization language to each other in compilation
  • Engineering in combination of Noelle and SPLENDID
  • Setup experiment environment for OpenMP/CUDA decompilation

Summer Internship
Los Alamos National Laboratory | Feb 2023-Aug 2023

  • Developed FI-VIS tool based on Pin and Pinfi
  • Trace and visualize error propagation in program execution at instruction level

Research Topics

  • IR representation for LLMs [1]
  • Resilience Analysis of High-performance Computing System [2-5]
  • Implementation and Interpretation of Large Language Model on Code/NLP Analysis [1, 2, 3, 4]

Publications

Conference Papers

  • Jiang, H., Zhu, J., Jin, R., & Guan, Q. (2025). Can Large Language Models Understand IRs? 2025 International Conference on Machine Learning (ICML’25).
  • Jiang, H., Zhu, J., Fang, B., & Guan, Q. (2024). Investigating Resilience of Loops in HPC Programs: A Semantic Approach with LLMs. 28th Annual IEEE High-Performance Extreme Computing Conference (HPEC’24).
  • Jiang, H. (2024). HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. In 2024 43rd International Symposium on Reliable Distributed Systems (SRDS). IEEE Xplore
  • Jiang, H., Ruan, S., Fang, B., & Guan, Q. (2023). VISILIENCE: An Interactive Visualization Framework for Resilience Analysis using Control-Flow Graph. 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC 2023).
  • Ruan, S., Wang, Y., Jiang, H., Xu, W., & Guan, Q. (2022). BatchLens: A Visualization Approach for Analyzing Batch Jobs in Cloud Computing. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 108-111.
  • Guan, Q., Hu, X., Grove, T., Fang, B., Jiang, H., Yin, H., & DeBardeleben, N. (2020). Chaser: An Enhanced Fault Injection tool for tracing Soft Errors in MPI Applications. *2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
  • Jiang, H., Guan, Q., Fang, B., Ruan, S., Krishnamoorthy, S., & DeBardeleben, N. (2021). ResilienceVis: A Control-Flow Graph-based Visualization Framework for Resilience Analysis. SELSE 2021.

Preprints

  • Jiang, H. (2025). Can Large Language Models Understand Intermediate Representations? arXiv preprint arXiv:2502.06854. Paper

Journal Articles

  • Zhu, J., Zhang, X., Jin, R., Jiang, H., & Kenne, D. R. (2024). Exploring the Digital Landscape of Antidepressant Use: Demographic Insights, Emotional Analysis, and Topic Modeling. JMIR Preprints, 62680. DOI: 10.2196/preprints.62680

Doctoral Showcase

  • Jiang, H. (2024). Doctoral Showcase: HPC Resilience Analysis using Large Language Models. SC’24 - The International Conference for High Performance Computing, Networking, Storage, and Analysis. Proceedings

Technical Skills

Programming Languages: C++/C, Python, Shell/Cmake
Tools & Technologies: LLVM/Clang, CUDA/OpenMP, PyTorch/TensorFlow, GNN, LLM/BERT, LSTM, KeyBERT
Research Tools: Git, LaTeX, VS Studio
Cloud Platforms: High-performance computing environments

Teaching & Mentoring Experience

Graduate Research Supervision
Kent State University | 2018-Present

  • Supervise graduate students in HPC and resilience research
  • Guide technical tool development and documentation
  • Lead collaborative research project teams

Current Role
Tenure Track Assistant Professor in Computer Science
Youngstown State University | Present

Awards & Honors

  • SC’24 Doctoral Showcase SelectionInternational Conference for High Performance Computing2024
  • SRDS’24 Paper PublicationInternational Symposium on Reliable Distributed Systems2024
  • Graduate Student Travel AwardsKent State University2024
  • Research Excellence RecognitionKent State University2023
  • Outstanding Graduate Student AwardKent State University2022

Professional Service

  • Conference Reviewer: IEEE conferences in HPC and systems
  • Journal Reviewer: Springer journals in computer science
  • Open Source Contributor: LLVM, CUDA, and HPC tools
  • Research Community: Active participation in HPC and systems research

Languages

  • English: Fluent (Professional working proficiency)
  • Chinese: Native

Interests

  • Marathon (H)
  • Basketball
  • Badminton
  • Outdoors

Last updated: February 2025