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2020 – today
- 2024
[j24]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): 5993-6006 (2024)- 2023
- [j23]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: 34952-34957 (2023) - [c25]Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu:
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. ICCV (Workshops) 2023: 2703-2712 - [i1]Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu:
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. CoRR abs/2308.05542 (2023) - 2022
- [j22]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: 1-16 (2022) - 2021
- [j21]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: 1-14 (2021) - [c24]Wonhee Lee, Sungeun Kim, Gunhee Kim:
Contextual Label Transformation For Scene Graph Generation. ICIP 2021: 2533-2537 - 2020
- [j20]Sungeun Kim, Suil O, Jihwan Park, Hyo Ree:
An odd [1, b]-factor in regular graphs from eigenvalues. Discret. Math. 343(8): 111906 (2020) - [j19]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): 6399-6411 (2020)
2010 – 2019
- 2018
- [j18]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: 56099-56108 (2018) - [j17]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): 809-824 (2018) - [j16]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): 527-537 (2018) - 2017
- [j15]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): 3250-3257 (2017) - [j14]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): 27-37 (2017) - [c23]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: 287-302 - 2016
- [j13]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: 3 (2016) - [j12]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): 1544-1551 (2016) - [j11]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): 68 (2016) - 2015
- [j10]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 62-II(9): 911-915 (2015) - [c22]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: 115-124 - [c21]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: 275-284 - 2014
- [j9]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): 564-571 (2014) - [c20]Taewook Kang, Ingi Lim, Kyunghwan Park, Sungweon Kang, Sungeun Kim:
Improving data rate in the human body communications. ICTC 2014: 51-52 - [c19]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: 665-668 - [c18]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: 1202-1205 - [c17]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: 329-336 - [c16]Sungeun Kim, Taewook Kang, Junghwan Hwang, Sungweon Kang, Kyunghwan Park:
Sound transmission through the human body with digital weaver modulation (DWM) method. SysCon 2014: 176-179 - 2013
- [c15]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: 150-158 - [c14]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: 159-169 - [c13]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: 202-210 - [c12]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: 690-697 - 2012
- [j8]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): 229-237 (2012) - [j7]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): 619-625 (2012) - [c11]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: 940-947 - [c10]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: 1-17 - [c9]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: 1286-1294 - 2011
- [j6]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): 1188-1195 (2011) - [j5]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): 1875-1891 (2011) - [c8]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: 27-34 - [c7]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: 376-383 - 2010
- [j4]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): 3027-3038 (2010) - [j3]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): 1051-1063 (2010) - [j2]Yoonsang Lee, Sungeun Kim, Jehee Lee:
Data-driven biped control. ACM Trans. Graph. 29(4): 129:1-129:8 (2010) - [c6]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: 611-618
2000 – 2009
- 2009
- [j1]Li Shen, Sungeun Kim, Andrew J. Saykin:
Fourier method for large-scale surface modeling and registration. Comput. Graph. 33(3): 299-311 (2009) - [c5]Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West:
Data synthesis and tool development for exploring imaging genomic patterns. CIBCB 2009: 298-305 - 2005
- [c4]Raj Arangarasan, Sungeun Kim, Seza Orçun:
Dynamic Volume Rendering for Intensity Modulated Radiation Therapy (IMRT) Treatment. IEEE Visualization 2005: 95 - 2004
- [c3]Sungeun Kim, John A. Copeland, Canfeng Chen, Lei Wang, Liang Liu, Weiling Wu:
Interworking between WLANs and 3G networks: TCP challenges. WCNC 2004: 1252-1257 - 2003
- [c2]Sungeun Kim, John A. Copeland:
TCP for seamless vertical handoff in hybrid mobile data networks. GLOBECOM 2003: 661-665 - 2002
- [c1]Sungeun Kim, Heechang Kim, John A. Copeland:
Dynamic radio resource allocation considering QoS in UMTS network. MWCN 2002: 636-640
Coauthor Index
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