Seong Jae Hwang

According to our database, Seong Jae Hwang authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WoLF: Wide-scope Large Language Model Framework for CXR Understanding.

Seil Kang, Donghyun Kim, Junhyeok Kim, Hyo Kyung Lee, Seong Jae Hwang

CoRR, 2024

CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation.

Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang

CoRR, 2024

Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning.

Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang

CoRR, 2024

EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation.

Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang

CoRR, 2024

Kore Initial Clustering for Unsupervised Domain Adaptation.

Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.

Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Charles M. Laymon, Pauline Maillard, James D. Wilson, Chang-Le Chen, Ciprian M. Crainiceanu, Charles DeCarli, Seong Jae Hwang, Dana L. Tudorascu

Medical Image Anal., October, 2023

Domain adversarial neural networks for domain generalization: when it works and how to improve.

Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang

Mach. Learn., July, 2023

Evidence-Empowered Transfer Learning for Alzheimer's Disease.

Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

PAC-Bayesian domain adaptation bounds for multiclass learners.

Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Test-time Fourier Style Calibration for Domain Generalization.

Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error.

Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat.

Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin O'Connor, John Muschelli, Charles M. Laymon, Zixi Yang, Ann D. Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Seong Jae Hwang, Ciprian M. Crainiceanu, Dana L. Tudorascu

NeuroImage, 2021

PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.

Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Robust White Matter Hyperintensity Segmentation On Unseen Domain.

Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning.

Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim

Proceedings of the Information Processing in Medical Imaging, 2021

Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning.

Mahbaneh Eshaghzadeh Torbati, Dana L. Tudorascu, Davneet S. Minhas, Pauline Maillard, Charles DeCarli, Seong Jae Hwang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Point Cloud Augmentation with Weighted Local Transformations.

Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease.

Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons.

Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.

Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

Brain Connect., 2019

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.

Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Large-Scale Training Framework for Video Annotation.

Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging.

Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families.

Seong Jae Hwang, Ronak Mehta, Vikas Singh

CoRR, 2018

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.

Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Online Graph Completion: Multivariate Signal Recovery in Computer Vision.

Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

Proceedings of the Computer Vision - ECCV 2016, 2016

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.

Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.

Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015