Namwoo Kim

TopoCL: Topological Contrastive Learning for Time Series

Namwoo Kim, Hyungryul Baik, Yoonjin Yoon

IEEE Transactions on Neural Networks and Learning Systems, 2026

How Well Do Vision-Language Models Understand Cities? A Comparative Study on Spatial Reasoning from Street-View Images

Juneyoung Ro, Namwoo Kim, Yoonjin Yoon

Proceedings of the IEEE/CVF International Conference on Computer Vision (Workshop), 2025

Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)

Namwoo Kim, Yoonjin Yoon

IEEE Access, 2025

Deep Learning Framework for Vessel Trajectory Prediction Using Auxiliary Tasks and Convolutional Networks

Yuyol Shin, Namwoo Kim, Hyeyeong Lee, Soh Young In, Mark Hansen, Yoonjin Yoon

Engineering Applications of Artificial Intelligence, 2024

A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL

Namwoo Kim, Hyeyeong Lee, Yoonjin Yoon

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Regionalization for Urban Air Mobility Application with Analyses of 3D Urban Space and Geodemography in San Francisco and New York

Namwoo Kim, Yoonjin Yoon

Procedia Computer Science, 2021

Cooperative sUAV Collision Avoidance Based on Satisficing Theory

Namwoo Kim, Yoonjin Yoon

International Journal of Aeronautical and Space Sciences, 2019

MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations

HyperLTSF: Learning Multi-Scale Hierarchies in Hyperbolic Space for Long-Term Time Series Forecasting