Survey on Joint Compression and Fine-Tuning of Large Language Models: Methods, Toolchains, and Open Challenges under Resource Constraints
Article 134332 | doi: 10.1016/j.neucom.2026.134332
Hanyong Lee
Ph.D. Student in Artificial Intelligence
Chung-Ang University · Seoul, Korea
glhy0718@gmail.com
Education & experience
Ph.D. Course, Department of Artificial Intelligence
Chung-Ang University
M.Sc. Course, Department of Artificial Intelligence
Chung-Ang University
Intern
S2W Inc.
B.Sc. Course, School of Computer Science and Engineering
Chung-Ang University
Hansung Science High School
Science-specialized high school education
Publications
BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks
New Mexico, USA | April 29 - May 4, 2025
OCR-Assisted Masked BERT for Homoglyph Restoration towards Multiple Phishing Text Downstream Tasks
Vol. 85, No. 3, pp. 4977-4993 | doi: 10.32604/cmc.2025.068156
GoodGPT: Counseling-Chat
Las Vegas, USA | January 11 - 14, 2025 | doi: 10.1109/ICCE63647.2025.10930112
An Efficient Fine-Tuning of Generative Language Model for Aspect-Based Sentiment Analysis
Las Vegas, USA | January 5 - 8, 2024 | doi: 10.1109/ICCE59016.2024.10444216
Scaling Up: Analyzing Classification Outcomes in Large Korean Legal Document Datasets
Vol. 15, No. 2, pp. 527-541 | doi: 10.21860/j.15.2.12
An Efficient Neural Network based on Early Compression of Sparse CT Slice Images
pp. 1-5 | doi: 10.1109/PlatCon53246.2021.9680749
Selected projects
AutoLabOS
Designed and built an autonomous research system that organizes literature review, hypothesis generation, experiment planning, review gating, and manuscript drafting inside a governed execution loop.
Automatic Generation of Children's Song Lyrics and Improvement of Lyric Quality Based on Large Language Model
Research and development project focused on creative language generation and quality improvement with large language models.
Integrated Framework for Automatic Neural Network Generation and Deployment Optimized for Runtime Environments
Developed an end-to-end framework for generating and deploying neural networks across runtime-constrained environments.
Awards
- 3rd Prize, 2022 AI Graduate School Challenge, LG
- 3rd Prize, 2021 Text Ethics Verification Data Hackathon Competition, National Information Society Agency (NIA)