Conferences / Journals / Preprints
2019
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh,
"Statistical Analysis of Longitudinally and Conditionally Generated Neuroimaging Measures via Conditional Recurrent Flow",
The First Workshop on Statistical Deep Learning in Computer Vision, International Conference on Computer Vision (ICCV), 2019. [Oral]
[pdf]
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh,
"Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuromaging",
International Conference on Computer Vision (ICCV), 2019. [Acceptance rate: 25%]
[pdf]
[poster]
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh,
"Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging", Conference on Uncertainty in Artificial Intelligence (UAI), 2019. [Acceptance rate: 26%]
[pdf]
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Paul Natsev,
"Large-Scale Training Framework for Video Annotation", Conference on Knowledge Discovery and Data Mining (KDD), 2019. [Oral acceptance rate: 9.2%] [Oral]
[pdf]
Courtney A. Miller, Seong Jae Hwang, Meghan M. Cotter, Houri K. Vorperian,
"Cervical vertebral growth and emergence of sexual dimorphism: A developmental study using computed tomography",
Journal of Anatomy, 2019.
2018
Won Hwa Kim, Annie M. Racine, Nagesh Adluru, Seong Jae Hwang, Kaj Blennow, Henrik Zetterberg, Cyhthia 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, 2018.
[NeuroImage: Clinical]
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, 2018.
[Brain Connectivity]
[Full article to be available soon]
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh,
"Tensorize, Factorize and Regularize: Robust Visual Relationship Learning",
Computer Vision and Pattern Recognition (CVPR), 2018. [Acceptance rate: 29.7%]
[pdf]
2017
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh,
"Online Graph Completion: Multivariate Signal Recovery in Computer Vision",
Computer Vision and Pattern Recognition (CVPR), 2017.
[pdf]
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. [Acceptance rate: 26.6%]
[pdf]
[supplementary]
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh,
"Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks",
Computer Vision and Pattern Recognition (CVPR), 2016. [Acceptance rate: 29.9%]
[pdf]
[supplementary]
[poster]
[code will be available here]
[project page]
2015
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh,
"A Projection free method for Generalized Eigenvalue Problem with a nonsmooth Regularizer",
International Conference on Computer Vision (ICCV), 2015. [Acceptance rate: 30.9%]
[pdf]
[fixed eq (18),(20)]
[supplementary]
[poster]
[code]
[project page]
[PubMed]
Conference Abstracts
2019
Seong Jae Hwang, Rebecca L. Koscik, Tobey J. Betthauser, Zirui Tao, Won Hwa Kim, Sterling C. Johnson, Vikas Singh,
"Predicting amyloid accumulation trajectories in a risk-enriched Alzheimer's disease cohort with Deep Conditional Neural Networks",
Alzheimer's Association International Conference (AAIC), 2019.
Zirui Tao, Ronak R. Mehta, Seong Jae Hwang, Rebecca L. Koscik, Erin Jonaitis, Sterling C. Johnson, Vikas Singh,
"A Normative Modeling Based Analysis of Amyloid, Cognition, and Tau in Preclinical Alzheimer's Disease",
Alzheimer's Association International Conference (AAIC), 2019.
Xingjian Zhen, Rudrasis Chakraborty, Nocholas Vogt, Seong Jae Hwang, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh,
"Sequential Deep Learning Algorithms show structural connectivity differences by amyloid status",
Alzheimer's Association International Conference (AAIC), 2019.
2018
Seong Jae Hwang, Sathya N. Ravi, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh,
"Data-Driven Propagation Modeling of PET-Derived Alzheimer's Pathology in a Preclinical Cohort",
Alzheimer's Association International Conference (AAIC), 2018.
2017
Won Hwa Kim, Seong Jae 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.
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. [Oral]
Patents
Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling Johnson, Vikas Singh,
"Computerized System for Efficient Augmentation of Data Sets", 2018, US20180113990A1
[Google Patents]
Zheng Han, Xiaowei Dai, Seong Jae Hwang, Jason Fass,
"Fast object tracking framework for sports video recognition", 2016, US9449230B2
[Google Patents]