The Appeal and Reality of Recycling LoRAs with Adaptive Merging (2026) Link
Haokun Liu*, Gyung Hyun Je*, Marco Ciccone, Zhenlin Xu, Prasanth YSS, Colin Raffel
Efficiently Estimating Data Efficiency for Language Model Fine-tuning (2025) Link
Gyung Hyun Je*, Colin Raffel
Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection (2024) Link
Mehmet Kerem Turkcan, Sanjeev Narasimhan, Chengbo Zang, Gyung Hyun Je, Bo Yu, Mahshid Ghasemi, Javad Ghaderi, Gil Zussman, Zoran Kostic
Before Ph.D., I did my undergrad at Williams College, where I studied math and English.
Afterwards, I enjoyed working as a data scientist at a renewable energy startup, but went back to school to learn the fundamentals of the machine learning tools I was using.
I completed my Master’s degree in computer science at Columbia University, where I first pivoted to deep learning research and became passionate about bagels.