Jonghoon Jin

Jonghoon Jin's work relates to neural networks and computer vision, including making convolutional neural networks smaller and more efficient for use on embedded devices (small, low-power computing hardware), as well as techniques for compressing neural networks using low-precision (ternary) representations. One publication also addresses system safety analysis for weapon systems, suggesting some work outside the core machine learning focus. The publication record is very sparse, based on only a few available records spanning about a decade.

Based on the limited data available, publication activity over the last decade appears sparse and irregular, with output in only two of the last ten years and no clear growth trend.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026