Publication

2022

Xin Ma, Won Hwa Kim, “Locally Normalized Soft Contrastive Clustering for Compact Clusters”, International Joint Conference on Artificial Intelligence (IJCAI), 2022. [Acceptance rate: 15%]

Hyuna Cho*, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim, “Prediction of Response to Immunotherapy in Bladder Cancer Patients”, IEEE Open Journal of Engineering in Medicine and Biology, 2022 [*: Hyuna advised by WHKim]

Hyuna Cho, Gunwoong Park, Amal Isaiah, Won hwa Kim, “Covariate Correcting Network for Detecting Sole Effect of Socioeconomic Status on Brain in Children”, Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2022.

Fan Yang, Guorong Wu, Won Hwa Kim, “Disentangled Representation of Longitudinal β-Amyloid for AD via Sequential Graph Variational Autoencoder with Supervision”, IEEE International Symposium on Biomedical Imaging (ISBI), 2022.

2021

Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim, “Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

Fan Yang*, Rui Meng*, Hyuna Cho, Guorong Wu, Won Hwa Kim, “Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer’s Disease Characterizations from ADNI study”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. [*: Equal contribution]

Xin Ma, Guorong Wu, Seongjae Hwang, Won Hwa Kim, “Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders”, International Conference on Information Processing in Medical Imaging (IPMI), 2021.

Debapriya Banerjee, Maria Kyrarini, Won Hwa Kim, “Image-Label Recovery on Fashion Data Using Image Similarity from Triple Siamese Network ”, Technologies, 2021.

2020

ByungOk Han, Woo-han Yun, Jang-hee Yoo, Won Hwa Kim, “Toward Unbiased Facial Expression Recognition in the Wild via Cross-dataset Adaptation”, IEEE Access, 2020.

Gowtham Krishnan Murugesan, Chandan Ganesh, Sahil Nalawade, Elizabeth M. Davenport, Ben Wagner, Won Hwa Kim, Joseph A. Maldjian, “BrainNET: Inference of Brain Network Topology using Machine Learning”, Brain Connectivity, 2020.

Tuan Q. Dinh, Yunyang Xiongy, Zhichun Huangy, Tien Voy, Akshay Mishray, Won Hwa Kim, Sathya N. Ravi, Vikas Singh, “Performing Group Difference Testing on Graph Structured Data from GANs: Analysis and Applications in Neuroimaging”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

Fan Yang, Amal Isaiah, Won Hwa Kim, “COVLET: Covariance-based Wavelet-like Transform for Statistical Analysis of Brain Characteristics in Children”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Feng Tong*, Muhammad Shahid, Peng Jin, Sungyong Jung, Won Hwa Kim, Jayoung Kim “Classification of the Urinary Metabolome using Machine Learning and Potential Applications to Diagnosing Interstitial Cystitis”, Bladder, 2020. [*: Feng advised by WHKim]

Jayoung Kim, Peng Jin, Won Hwa Kim, Wun-Jae Kim “Utilizing Machine Learning to Discern Hidden Clinical Values from Big Data in Urology”, Investigative and Clinical Urology, 2020.

Xin Ma, Guorong Wu, Won Hwa Kim, “Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity”,  Annual Meeting of the Organization for Human Brain Mapping (OHBM) , 2020.

Xin Ma, Guorong Wu, Won Hwa Kim, “Multi-resolution Graph Neural Network for Detecting Variations in Brain Connectivity”,  Annual Meeting of the Organization for Human Brain Mapping (OHBM) , 2020.

Xin Ma, Guorong Wu, Won Hwa Kim, “Enriching Statistical Inferences on Brain Connectivity for Alzheimer’s Disease Analysis via Latent Space Graph Embedding”, IEEE International Symposium on Biomedical Imaging (ISBI), 2020. [Accepted for Oral Presentation]

Xin Ma, Guorong Wu, Won Hwa Kim, “Multi-resolution Graph Neural Network for Detecting Variations in Brain Connectivity”, Interaction of Geometry and Topology in Biomedical Imaging (ISBI Workshop) , 2020.

Anna Philips, Farah Naz, Kate Kyung Hyun, Vivek Patel, Gorden G. Zhang, Won Hwa Kim, “Social Media Text Analysis using Multi-kernel Convolution Neural Network for Ride Hailing Service Assessment”, Transportation Research Board (TRB) Annual Meeting, 2020.

2019

Seongjae Hwang, Zirui Tao, Won Hwa Kim*, Vikas Singh*, “Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging” International Conference on Computer Vision (ICCV), 2019. (*: Senior authorship shared)

Seongjae Hwang, Zirui Tao, Won Hwa Kim*, Vikas Singh*, “Statistical Analysis of Longitudinally and Conditionally Generated Neuroimaging Measures via Conditional Recurrent Flow”, Statistical Deep Learning in Computer Vision (ICCV Workshop), 2019. (*: Senior authorship shared)

Won Hwa Kim, Annie M. Racine, Nagesh Adluru, Seong Jae Hwang, Kaj Blennow, Henrik Zetterberg, Cynthia M.Carlsson, Sanjay Asthana, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh, “Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis” NeuroImage: Clinical, 2019.

Annie M. Racine, Andrew P. Merluzzi, Nagesh Adluru, Derek Norton, Rebecca L. Koscik, Lindsay R. Clark, Sara E. Berman, Christopher R. Nicholas, Sanjay Asthana, Andrew L. Alexander, Kaj Blennow, Henrik Zetterberg, Won Hwa Kim, Vikas Singh, Cynthia M. Carlsson, Barbara B. Bendlin, Sterling C. Johnson, “Association of longitudinal whitematter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer’s disease in late-middle-aged adults”, Brain Imaging and Behavior, 2019.

Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh, “Associations between PET Amyloid Pathology and DTI Brain Connectivity in Preclinical Alzheimer’s Disease”, Brain Connectivity, 2019.

2017

Won Hwa Kim, “A Multi-resolution Framework for Statistical Analysis of Neuroimaging Data” Doctoral Thesis, 2017.

Won Hwa Kim, Seongjae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh, ” Graph Completion: A Generalization of Netflix Prize Problem to Designing Cost Effective Neuroimaging Trials in Preclinical AD”, Alzheimer’s Association International Conference (AAIC), 2017.

Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh, “Online Graph Completion: Multivariate Signal Recovery in Computer Vision”, Computer Vision and Pattern Recognition (CVPR), 2017.

2016

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh, “Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging”, European Conference on Computer Vision (ECCV), 2016.

Seong Jae Hwang, Won Hwa Kim, Barbara B. Bendlin, Nagesh Adluru, Vikas Singh, “Multi-Resolution Analysis of DTI-Derived Brain Connectivity and the Influence of PET-Derived Alzheimer’s Disease Pathology in a Preclinical Cohort”, Alzheimer’s Association International Conference (AAIC), 2016.

Won Hwa Kim*, Hyunwoo J. Kim*, Nagesh Adluru, Vikas Singh, “Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP)”, Computer Vision and Pattern Recognition (CVPR), 2016. [Spotlight / Acceptance rate: 9.7%]
*: First authorship shared.

2015

Won Hwa Kim, Sathya Ravi, Sterling C. Johnson, Ozioma Okonkwo, Vikas Singh, “On Statistical Analysis of Neuroimages with Imperfect Registration”, International Conference on Computer Vision (ICCV), 2015.

Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bedlin, Vikas Singh, “Multi-resolution Statistical Analysis of Brain Connectivity Graphs in Preclinical Alzheimer’s Disease”, NeuroImage, 2015.

Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bedlin, Vikas Singh, “Multi-resolution Statistical Analysis of Brain Connectivity Graphs in Preclinical Alzheimer’s Disease”, Alzheimer’s Association International Conference (AAIC), 2015.

Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh, “Statistical Inference Models for Image Datasets with Systematic Variations”, Computer Vision and Pattern Recognition (CVPR), 2015.

Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, “Multi-resolution statistical analysis on graph structured data in Neuroimaging”, International Symposium on Biomedical Imaging (ISBI), 2015 (Invited paper / Oral presentation)

2014

Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson, “Multi-resolutional Shape Features via non-Euclidean Wavelets: Applications to Statistical Analysis of Cortical Thickness”, NeuroImage, 2014.

A. Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo. K. Chung, “The 4D Hyperspherical Diffusion Wavelet: a New Method for the Detection of Localized Anatomical Variation”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.

2013

Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori Altshuler, Teena Moody, Anand Kumar, Vikas Singh, and Alex D. Leow, “Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013.

Won Hwa Kim, Moo K. Chung, Vikas Singh, “Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems”, Computer Vision and Pattern Recognition (CVPR), 2013.

2012

Won Hwa Kim, Deepti Pachauri, Charles Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh, “Wavelet Based Multi-scale Shape Features on Arbitrary Surfaces for Cortical Thickness Discrimination”, Advances in Neural Information Processing Systems (NIPS), 2012.

2010

Won Hwa Kim, Jeong Woo Park, Woo Hyun Kim, Wong Hyong Lee, Myung Jin Chung, “Proposal of 2D Mood Model for Human-like Behaviors of Robot”, The Journal of Korea Robotics Society, 2010.

2009

Won Hwa Kim, Jeong Woo Park, Won Hyong Lee, Woo Hyun Kim, Myung Jin Chung, ” Stochastic Approach on a Simplified OCC Model for Uncertainty and Believability”, International Conference on Computational Intelligence in Robotics and Automation (CIRA), 2009. 

Jeongwoo Park, Won Hwa Kim, Wong Hyong Lee, Myung Jin Chung, “A Robot Simulator’FRESi’for Dynamic Facial Expression”, International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2009.

Jeongwoo Park, Woo Hyun Kim, Wong Hyong Lee, Won Hwa Kim, Myung Jin Chung, “Lifelike Facial Expression of Mascot-type Robot based on Emotional Boundaries”, Robotics and Biomimetics (ROBIO), 2009.

Woo Hyun Kim, Jeongwoo Park, Wong Hyong Lee, Won Hwa Kim, Myung Jin Chung, “Synchronized Multimodal Expression Generation using Editing Toolkit for a Human-friendly robot”, Robotics and Biomimetics (ROBIO), 2009.