3 citations · 3 across the 4 of their papers we have counts for
5 papers
Large Language Model Assisted Transportation Planning through a Differentiable User Equilibrium Layer
Eunseung Lee, Gyeongjun Kim, Keemin Sohn
Transportation planning has traditionally required substantial expertise in network modeling, traffic assignment, and optimization. As a result, strategic analyses such as network…
Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis
Haebom Lee, Gyeongjung Kim
Feature sharing via split inference offers a lightweight alternative to federated learning for resource-constrained hospitals, but transmitted features still leak patient identity…
Scalable Variational Inference for Multinomial Probit Models under Large Choice Sets and Sample Sizes
Gyeongjun Kim, Yeseul Kang, Lucas Kock +2
The multinomial probit (MNP) model is widely used to analyze categorical outcomes due to its ability to capture flexible substitution patterns among alternatives. Conventional like…
Non-anchor-based vehicle detection for traffic surveillance using bounding ellipses
Byeonghyeop Yu, Johyun Shin, Gyeongjun Kim +2
Cameras for traffic surveillance are usually pole-mounted and produce images that reflect a birds-eye view. Vehicles in such images, in general, assume an ellipse form. A bounding…
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
Gyeongjun Kim, Keemin Sohn
Reinforcement learning (RL) algorithms have been widely applied in traffic signal studies. There are, however, several problems in jointly controlling traffic lights for a large tr…