Sungeun Kim

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 21

Top Topics

Canonical Correlation Analysis

Impulse Response

Sparse Learning

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Taewook Kang, Kwang-Il Oh, Jae-Jin Lee, Sungeun Kim, Woojoo Lee, Wangrok Oh, Seong-Eun Kim
Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse Response. IEEE Internet Things J. 11 (4) (2024)
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. ICCV (Workshops) (2023)
Sungeun Kim, Chan-Byoung Chae, Byung-Wook Min
A Low-Loss Defected-Ground-Structure Based Phase Shifter and Antenna on a 4-μm Thin Liquid Crystal Layer. IEEE Access 11 (2023)
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. CoRR (2023)
Taewook Kang, Kwang-Il Oh, Jae-Jin Lee, Sungeun Kim, Seoung-Eun Kim, Woojoo Lee, Wangrok Oh
Spiking Neural Networks-Inspired Signal Detection Based on Measured Body Channel Response. IEEE Trans. Instrum. Meas. 71 (2022)
Wonhee Lee, Sungeun Kim, Gunhee Kim
Contextual Label Transformation For Scene Graph Generation. ICIP (2021)
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
Measurement and Evaluation of Electric Signal Transmission Through Human Body by Channel Modeling, System Design, and Implementation. IEEE Trans. Instrum. Meas. 70 (2021)
Sungeun Kim, Suil O, Jihwan Park, Hyo Ree
An odd [1, b]-factor in regular graphs from eigenvalues. Discret. Math. 343 (8) (2020)
Taewook Kang, Sungeun Kim, Kwang-Il Oh, Jung-Hwan Hwang, Jae-Jin Lee, Hyungil Park, Kyungjin Byun, Woojoo Lee
Evaluation of Human Body Characteristics for Electric Signal Transmission Based on Measured Body Impulse Response. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25 (7) (2018)
Taewook Kang, Kwang-Il Oh, Jung-Hwan Hwang, Sungeun Kim, Hyungil Park, Jaejin Lee
Measurement and Analysis of Electric Signal Transmission Using Human Body as Medium for WBAN Applications. IEEE Trans. Instrum. Meas. 67 (3) (2018)
Junyeong Han, Sungeun Kim, Sungyoung Lee, Jaehwan Lee, Sung Jo Kim
A Hybrid Swapping Scheme Based On Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018). IEEE Access 6 (2018)
Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33 (20) (2017)
Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB (2017)
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4 (1) (2017)
Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. 9 (2016)
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10 (S-3) (2016)
Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32 (10) (2016)
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH (2015)
Taewook Kang, Sungeun Kim, Changhee Hyoung, Sungweon Kang, Kyunghwan Park
An Energy Combiner for a Multi-Input Energy-Harvesting System. IEEE Trans. Circuits Syst. II Express Briefs (9) (2015)
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH (2015)
Sungeun Kim, Taewook Kang, Junghwan Hwang, Sungweon Kang, Kyunghwan Park
Sound transmission through the human body with digital weaver modulation (DWM) method. SysCon (2014)
Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) (2014)
Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI (2014)
Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30 (17) (2014)
Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
Data synthesis and method evaluation for brain imaging genetics. ISBI (2014)
Taewook Kang, Ingi Lim, Kyunghwan Park, Sungweon Kang, Sungeun Kim
Improving data rate in the human body communications. ICTC (2014)
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
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. MICCAI (2) (2013)
Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA (2013)
Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA (2013)
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
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. MBIA (2013)
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS (2012)
Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR (2012)
Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. 28 (2) (2012)
Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA (2012)
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28 (18) (2012)
Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins
Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. NeuroImage 54 (2) (2011)
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
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. MICCAI (2) (2011)
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
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects. NeuroImage 56 (4) (2011)
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
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA (2011)
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
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 53 (3) (2010)
Shuowen Hu, Olumide Olulade, Javier Gonzalez-Castillo, Joseph Santos, Sungeun Kim, Gregory G. Tamer, Wen-Ming Luh, Thomas M. Talavage
Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise. NeuroImage 49 (4) (2010)
Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) (2010)
Yoonsang Lee, Sungeun Kim, Jehee Lee
Data-driven biped control. ACM Trans. Graph. 29 (4) (2010)
Li Shen, Sungeun Kim, Andrew J. Saykin
Fourier method for large-scale surface modeling and registration. Comput. Graph. 33 (3) (2009)
Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West
Data synthesis and tool development for exploring imaging genomic patterns. CIBCB (2009)
Raj Arangarasan, Sungeun Kim, Seza Orçun
Dynamic Volume Rendering for Intensity Modulated Radiation Therapy (IMRT) Treatment. IEEE Visualization (2005)
Sungeun Kim, John A. Copeland, Canfeng Chen, Lei Wang, Liang Liu, Weiling Wu
Interworking between WLANs and 3G networks: TCP challenges. WCNC (2004)
Sungeun Kim, John A. Copeland
TCP for seamless vertical handoff in hybrid mobile data networks. GLOBECOM (2003)
Sungeun Kim, Heechang Kim, John A. Copeland
Dynamic radio resource allocation considering QoS in UMTS network. MWCN (2002)