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Hailong Jiang
Hailong Jiang
Assistant Professor
Computer Science, Information, & Engineering Technology
Meshel Hall 320
phone: (330) 941-3134
Bio
Hailong Jiang, Ph.D., is an Assistant Professor in the Department of Computer Science and Information Systems at Youngstown State University. He received his Ph.D. in Computer Science from Kent State University. His research lies at the intersection of compilers, machine learning, and high-performance computing, with a focus on using large language models (LLMs) to enhance program analysis, compiler optimization, and intermediate representation (IR) reasoning.
Dr. Jiang’s work explores LLM-guided semantic lifting, MLIR/LLVM-based optimization, quantum intermediate representations (QIR), and edge-AI systems. He is actively developing large-scale datasets and verification-in-the-loop frameworks to support trustworthy AI-assisted compilation. His research has been published in peer-reviewed venues and supported by ongoing grant proposal efforts to the National Science Foundation and other agencies.
At YSU, Dr. Jiang teaches undergraduate and graduate courses in operating systems, computer architecture, data structures, and information systems. He is committed to research-informed teaching and actively involves students in course-embedded research, capstone projects, and honors contracts.
Research Interests
Research Interests
Large Language Models for Program Analysis and Compiler Optimization
MLIR and LLVM Intermediate Representations
LLM-Guided Semantic Lifting and Verification-in-the-Loop
Quantum Computing and Quantum Intermediate Representation (QIR)
High-Performance Computing and Edge-AI Systems
Binary Analysis and Decompilation
AI for Systems and Compilers
Trustworthy and Interpretable AI for Code
Teaching Interests
Teaching Interests
Operating Systems
Computer Architecture
Data Structures and Algorithms
Compiler Design
High-Performance Computing
Machine Learning Systems
Computer Organization
Information Systems Design
Edge Computing and Embedded Systems
Software Engineering
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2025
Ph D, Computer Science
Kent State University
Dissertation/Thesis Title — "A Resilience Study of Soft Errors in High-Performance Computing Applications: Visualization and LLM-Based Modeling"
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2017
MS, IC Engineering
University of Chinese Academy of Science
Dissertation/Thesis Title — "The Study of Cu2ZnSnS4 films generation by sulfur-free annealing process and device application"
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2014
BS, Applied Physics
Xidian University
Dissertation/Thesis Title — "A novel infrared object tracking algorithm"
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2026
Youngstown State University
Research Professorship Awards 2026-2027
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2025
"Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study"
J. Zhu, X. Zhang, R. Jin, H. Jiang, D. Kenne, . others
JMIR Formative Research, JMIR Publications Inc., Toronto, Canada, volume 9, issue 1, p. e62680
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2025
"Leveraging Large Language Models to Analyze Emotional and Contextual Drivers of Teen Substance Use in Online Discussions"
J. Zhu, R. Jin, H. Jiang, Y. Wang, X. Zhang, K. Coifman
arXiv, p. 28
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2025
"KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling"
G. Zhang, W. Guo, Z. Tan, Q. Guan, H. Jiang
arXiv preprint arXiv:2507.07932
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2025
"eHAPPA: Efficient and Scalable Resilience Prediction in HPC Applications with Low-Rank Adaptation"
H. Jiang, J. Zhu, B. Fang, K. Barker, C. Chen, R. Jin, Q. Guan
TechRxiv, p. 12
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2025
"Can Large Language Models Understand Intermediate Representations in Compilers?"
H. Jiang, J. Zhu, Y. Wan, B. Fang, H. Zhang, R. Jin, Q. Guan
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2025
"AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments"
G. Zhang, W. Guo, Z. Tan, H. Jiang
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2025
"AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes"
G. Zhang, S. Vippagunta, R. Nandagopal, S. Raman, J. Xu, M. Pfeiffer, S. Chatterjee, Z. Tan, W. Guo, H. Jiang
arXiv preprint arXiv:2507.05653
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2025
"A Resilience Study of Soft Errors in High-Performance Computing Applications: Visualization and LLM-Based Modeling"
H. Jiang
Kent State University -
2024
"Investigating resilience of loops in hpc programs: A semantic approach with llms"
H. Jiang, J. Zhu, B. Fang, C. Chen, Q. Guan
, p. 1--10 -
2024
"HAPPA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded"
H. Jiang, J. Zhu, B. Fang, K. Barker, C. Chen, R. Jin, Q. Guan
, volume 2024, p. 40--51 -
2023
"Visilience: An interactive visualization framework for resilience analysis using control-flow graph"
H. Jiang, S. Ruan, B. Fang, Y. Wang, Q. Guan
, p. 250--256 -
2023
"Multiple Kernel Low-Redundant Representation Learning Based Incomplete Multiview Subspace Clustering"
A. Li, Z. Wang, L. Xi, Y. Zhang, H. Jiang
Available at SSRN 4453169
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2022
"Cross-Stage Fusion Network Based Multi-Modal Hyperspectral Image Classification"
Y. Sun, Z. Wang, A. Li, H. Jiang
, p. 77--88 -
2022
"Batchlens: a visualization approach for analyzing batch jobs in cloud systems"
S. Ruan, Y. Wang, H. Jiang, W. Xu, Q. Guan
, p. 108--111 -
2020
"Semi-supervised subspace learning for pattern classification via robust low rank constraint"
A. Li, R. An, D. Chen, G. Sun, X. Liu, Q. Wu, H. Jiang
Mobile Networks and Applications, Springer US New York, volume 25, issue 6, p. 2258--2269
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2020
"Discriminative Subspace Learning for Cross-view Classification with Simultaneous Local and Global Alignment"
A. Li, Y. Ding, D. Chen, G. Sun, H. Jiang
Springer Singapore, p. 168-179 -
2020
"Discriminative subspace learning for cross-view classification with simultaneous local and global alignment"
A. Li, Y. Ding, D. Chen, G. Sun, H. Jiang
, p. 168--179 -
2020
"Cross-view feature learning via structures unlocking based on robust low-rank constraint"
A. Li, Y. Ding, D. Chen, G. Sun, H. Jiang, Q. Wu
IEEE Access, IEEE, volume 8, p. 46851--46860
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2020
"Chaser: An enhanced fault injection tool for tracing soft errors in mpi applications"
Q. Guan, X. Hu, T. Grove, B. Fang, H. Jiang, H. Yin, N. DeBadeleben
, p. 355--363 -
2019
"Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation"
A. Li, X. Liu, Y. Wang, D. Chen, K. Lin, G. Sun, H. Jiang
PloS one, Public Library of Science San Francisco, CA USA, volume 14, issue 5, p. e0215450
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2019
"Robust feature modeling for face authentication in smart device"
A. Li, X. Liu, H. Jiang
, p. 1--7 -
2019
"Elastic Network-based Subspace Clustering for Security authentication"
A. Li, X. Liu, H. Jiang
, p. 226--230 -
2017
"Numerical simulation and experimental validation of inverted planar perovskite solar cells based on NiOx hole transport layer"
X. Wei, X. Wang, H. Jiang, Y. Huang, A. Han, Q. Gao, J. Bian, Z. Liu
Superlattices and Microstructures, Elsevier, volume 112, p. 383--393
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2017
"Achieving composition-controlled Cu2ZnSnS4 films by sulfur-free annealing process"
H. Jiang, X. Wei, Y. Huang, X. Wang, A. Han, X. Liu, Z. Liu, F. Meng
Japanese Journal of Applied Physics, IOP Publishing, volume 56, issue 6, p. 065502
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2016
"Liquid-based growth of polymeric carbon nitride films and their extraordinary photoelectrocatalytic activity"
X. Wei, H. Jiang, Z. Liu
RSC Advances, Royal Society of Chemistry, volume 6, issue 84, p. 81372--81377
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2026 - 2026
Member
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2026) – Program Committee -
2026 - 2026
Member
QUASAR 2026 - 3rd Workshop on Quantum Algorithms, Software and Applied Research--Program Committe -
2026 - present
Reviewer, Journal Article
IEEE Transactions on Parallel and Distributed Systems -
2025 - present
Reviewer, Journal Article
Information Fusion (Elsevier)