Sungeun Kim

53 papers A* 1A 2B 4C 1Journal 26Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Electromagnetic Interference-Robust Fingerprint Spoof Detection Based on Finger Channel Response.
IEEE Trans. Ind. Informatics
Taewook Kang, Kwang-Il Oh, Seong-Eun Kim, Jae-Jin Lee, Sungeun Kim, Kyungjin Byun, Woojoo Lee, Wangrok Oh
2024 J jnl
Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse Response.
IEEE Internet Things J.
Taewook Kang, Kwang-Il Oh, Jae-Jin Lee, Sungeun Kim, Woojoo Lee, Wangrok Oh, Seong-Eun Kim
2024 — conf
Generative Self-supervised Learning for Medical Image Classification.
ACCV (2)
Inhyuk Park, Sungeun Kim, Jongbin Ryu
2024 A conf
Unsupervised Hashing Network with Hyper Quantization Tree.
BMVC
Sungeun Kim, Jongbin Ryu
2023 J jnl
A Low-Loss Defected-Ground-Structure Based Phase Shifter and Antenna on a 4-μm Thin Liquid Crystal Layer.
IEEE Access
Sungeun Kim, Chan-Byoung Chae, Byung-Wook Min
2023 — conf
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning.
ICCV (Workshops)
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
2023 J jnl
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning.
CoRR
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
2022 J jnl
Spiking Neural Networks-Inspired Signal Detection Based on Measured Body Channel Response.
IEEE Trans. Instrum. Meas.
Taewook Kang, Kwang-Il Oh, Jae-Jin Lee, Sungeun Kim, Seoung-Eun Kim, Woojoo Lee, Wangrok Oh
2021 B conf
Contextual Label Transformation For Scene Graph Generation.
ICIP
Wonhee Lee, Sungeun Kim, Gunhee Kim
2021 J jnl
Measurement and Evaluation of Electric Signal Transmission Through Human Body by Channel Modeling, System Design, and Implementation.
IEEE Trans. Instrum. Meas.
Taewook Kang, Jung-Hwan Hwang, Hyuk Kim, Sungeun Kim, Kwang-Il Oh, Jae-Jin Lee, Hyung-Il Park, Seong-Eun Kim, Wangrok Oh, Woojoo Lee
2020 J jnl
An odd [1, b]-factor in regular graphs from eigenvalues.
Discret. Math.
Sungeun Kim, Suil O, Jihwan Park, Hyo Ree
2020 J jnl
Evaluation of Human Body Characteristics for Electric Signal Transmission Based on Measured Body Impulse Response.
IEEE Trans. Instrum. Meas.
Taewook Kang, Sungeun Kim, Kwang-Il Oh, Jung-Hwan Hwang, Jae-Jin Lee, Hyungil Park, Kyungjin Byun, Woojoo Lee
2018 J jnl
A Hybrid Swapping Scheme Based On Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018).
IEEE Access
Junyeong Han, Sungeun Kim, Sungyoung Lee, Jaehwan Lee, Sung Jo Kim
2018 J jnl
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol.
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018 J jnl
Measurement and Analysis of Electric Signal Transmission Using Human Body as Medium for WBAN Applications.
IEEE Trans. Instrum. Meas.
Taewook Kang, Kwang-Il Oh, Jung-Hwan Hwang, Sungeun Kim, Hyungil Park, Jaejin Lee
2017 B conf
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
RECOMB
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017 J jnl
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform.
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017 J jnl
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016 J jnl
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
BioData Min.
Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene
2016 J jnl
Structured sparse CCA for brain imaging genetics via graph OSCAR.
BMC Syst. Biol.
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016 J jnl
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform.
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015 J jnl
An Energy Combiner for a Multi-Input Energy-Harvesting System.
IEEE Trans. Circuits Syst. II Express Briefs
Taewook Kang, Sungeun Kim, Changhee Hyoung, Sungweon Kang, Kyunghwan Park
2015 — conf
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
BIH
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015 — conf
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations.
BIH
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014 — conf
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics.
MICCAI (3)
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014 — conf
Data synthesis and method evaluation for brain imaging genetics.
ISBI
Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2014 — conf
Improving data rate in the human body communications.
ICTC
Taewook Kang, Ingi Lim, Kyunghwan Park, Sungweon Kang, Sungeun Kim
2014 — conf
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
ISBI
Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
2014 — conf
Sound transmission through the human body with digital weaver modulation (DWM) method.
SysCon
Sungeun Kim, Taewook Kang, Junghwan Hwang, Sungweon Kang, Kyunghwan Park
2014 J jnl
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform.
Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
2013 — conf
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
MBIA
Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
2013 — conf
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies.
MICCAI (2)
Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson
2013 — conf
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
MBIA
Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013 — conf
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease.
MBIA
Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Shanker Swaminathan, Karmen K. Yoder, Li Shen, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin
2012 J jnl
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform.
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 — conf
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
NIPS
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 J jnl
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform.
Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 — conf
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
MBIA
Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
2012 A* conf
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease.
CVPR
Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011 — conf
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.
MICCAI (2)
Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen
2011 — conf
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
MBIA
Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin
2011 J jnl
Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T.
NeuroImage
Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins
2011 J jnl
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects.
NeuroImage
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Neda Jahanshad, Andrew J. Saykin, Li Shen, Sungeun Kim, Nathan Pankratz, Tatiana Foroud, Matthew J. Huentelman, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Arthur W. Toga, Paul M. Thompson
2010 J jnl
Data-driven biped control.
ACM Trans. Graph.
Yoonsang Lee, Sungeun Kim, Jehee Lee
2010 J jnl
Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise.
NeuroImage
Shuowen Hu, Olumide Olulade, Javier Gonzalez-Castillo, Joseph Santos, Sungeun Kim, Gregory G. Tamer, Wen-Ming Luh, Thomas M. Talavage
2010 — conf
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.
MICCAI (3)
Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin
2010 J jnl
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
NeuroImage
Li Shen, Sungeun Kim, Shannon L. Risacher, Kwangsik Nho, Shanker Swaminathan, John D. West, Tatiana Foroud, Nathan Pankratz, Jason H. Moore, Chantel D. Sloan, Matthew J. Huentelman, David W. Craig, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Andrew J. Saykin
2009 C conf
Data synthesis and tool development for exploring imaging genomic patterns.
CIBCB
Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West
2009 J jnl
Fourier method for large-scale surface modeling and registration.
Comput. Graph.
Li Shen, Sungeun Kim, Andrew J. Saykin
2005 A conf
Dynamic Volume Rendering for Intensity Modulated Radiation Therapy (IMRT) Treatment.
IEEE Visualization
Raj Arangarasan, Sungeun Kim, Seza Orçun
2004 B conf
Interworking between WLANs and 3G networks: TCP challenges.
WCNC
Sungeun Kim, John A. Copeland, Canfeng Chen, Lei Wang, Liang Liu, Weiling Wu
2003 B conf
TCP for seamless vertical handoff in hybrid mobile data networks.
GLOBECOM
Sungeun Kim, John A. Copeland
2002 — conf
Dynamic radio resource allocation considering QoS in UMTS network.
MWCN
Sungeun Kim, Heechang Kim, John A. Copeland