activity
20182026
most citedLearning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders

6 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2026

Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation

Junhyoung Chung, Euijong Song, Won Hwa Kim +1

We introduce Convex Distance Operator Transport (CDOT), the first convex optimal transport framework that aligns distributions across heterogeneous domains by jointly preserving fe…

cs.CV2021

Separating Boundary Points via Structural Regularization for Very Compact Clusters

Xin Ma, Won Hwa Kim

Clustering algorithms have significantly improved along with Deep Neural Networks which provide effective representation of data. Existing methods are built upon deep autoencoder a…

cs.CV2020★ 3 cited

Online Graph Completion: Multivariate Signal Recovery in Computer Vision

Won Hwa Kim, Mona Jalal, Seongjae Hwang +2

The adoption of "human-in-the-loop" paradigms in computer vision and machine learning is leading to various applications where the actual data acquisition (e.g., human supervision)…

cs.CV2019★ 6 cited

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders

Xin Ma, Guorong Wu, Seong Jae Hwang +1

Tremendous recent literature show that associations between different brain regions, i.e., brain connectivity, provide early symptoms of neurological disorders. Despite significant…

cs.CV2018

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging

Seong Jae Hwang, Zirui Tao, Won Hwa Kim +1

Generative models using neural network have opened a door to large-scale studies for various application domains, especially for studies that suffer from lack of real samples to ob…