Dynamic radio resource allocation considering QoS in UMTS network. - Sungeun Kim; Heechang Kim; John A. Copeland (MWCN, 2002)

TCP for seamless vertical handoff in hybrid mobile data networks. - Sungeun Kim; John A. Copeland (GLOBECOM, 2003)

Interworking between WLANs and 3G networks: TCP challenges. - Sungeun Kim; John A. Copeland; Canfeng Chen; Lei Wang; Liang Liu; Weiling Wu (WCNC, 2004)

Dynamic Volume Rendering for Intensity Modulated Radiation Therapy (IMRT) Treatment. - Raj Arangarasan; Sungeun Kim; Seza Orçun (IEEE Visualization, 2005)

Data synthesis and tool development for exploring imaging genomic patterns. - Sungeun Kim; Li Shen 001; Andrew J. Saykin; John D. West (CIBCB, 2009)

Fourier method for large-scale surface modeling and registration. - Li Shen 001; Sungeun Kim; Andrew J. Saykin (Comput. Graph., 2009)

Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. - Li Shen 001; Yuan (Alan) Qi; Sungeun Kim; Kwangsik Nho; Jing Wan; Shannon L. Risacher; Andrew J. Saykin (MICCAI (3), 2010)

Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise. - Shuowen Hu; Olumide Olulade; Javier Gonzalez-Castillo; Joseph Santos; Sungeun Kim; Gregory G. Tamer; Wen-Ming Luh; Thomas M. Talavage (NeuroImage, 2010)

Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. - Li Shen 001; 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; et al. (NeuroImage, 2010)

Data-driven biped control. - Yoonsang Lee 001; Sungeun Kim; Jehee Lee (ACM Trans. Graph., 2010)

Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. - Li Shen 001; 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 (MBIA, 2011)

Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. - Jing Wan; Sungeun Kim; Mark Inlow; Kwangsik Nho; Shanker Swaminathan; Shannon L. Risacher; Shiaofen Fang; Michael W. Weiner; Mirza Faisal Beg; Lei Wang 032; Andrew J. Saykin; Li Shen 001 (MICCAI (2), 2011)

Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects. - Derrek P. Hibar; Jason L. Stein; Omid Kohannim; Neda Jahanshad; Andrew J. Saykin; Li Shen 001; Sungeun Kim; Nathan Pankratz; Tatiana Foroud; Matthew J. Huentelman; Steven G. Potkin; Clifford R. Jack Jr.; et al. (NeuroImage, 2011)

Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. - Yang Wang; Andrew J. Saykin; Josef Pfeuffer; Chen Lin; Kristine M. Mosier; Li Shen 001; Sungeun Kim; Gary D. Hutchins (NeuroImage, 2011)

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. - Jing Wan; Zhilin Zhang 002; Jingwen Yan; Taiyong Li; Bhaskar D. Rao; Shiaofen Fang; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (CVPR, 2012)

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. - Jingwen Yan; Shannon L. Risacher; Sungeun Kim; Jacqueline C. Simon; Taiyong Li; Jing Wan; Hua Wang 007; Heng Huang; Andrew J. Saykin; Li Shen 001 (MBIA, 2012)

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (NIPS, 2012)

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. - Hua Wang 007; Feiping Nie 001; Heng Huang; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. - Hua Wang 007; Feiping Nie 001; Heng Huang; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (Bioinform., 2012)

Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. - Derrek P. Hibar; Sarah E. Medland; Jason L. Stein; Sungeun Kim; Li Shen 001; Andrew J. Saykin; Greig I. de Zubicaray; Katie McMahon; Grant W. Montgomery; Nicholas G. Martin; Margaret J. Wright; Srdjan Djurovic; et al. (MICCAI (2), 2013)

A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). - Dokyoon Kim; Sungeun Kim; Shannon L. Risacher; Li Shen 001; Marylyn D. Ritchie; Michael W. Weiner; Andrew J. Saykin; Kwangsik Nho (MBIA, 2013)

PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. - Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Mark Inlow; Shanker Swaminathan; Karmen K. Yoder; Li Shen 001; John D. West; Brenna C. McDonald; Eileen F. Tallman; Gary D. Hutchins; James W. Fletcher; et al. (MBIA, 2013)

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. - Jingwen Yan; Heng Huang; Shannon L. Risacher; Sungeun Kim; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MBIA, 2013)

Improving data rate in the human body communications. - Taewook Kang; Ingi Lim; Kyunghwan Park; Sungweon Kang; Sungeun Kim (ICTC, 2014)

Data synthesis and method evaluation for brain imaging genetics. - Jinhua Sheng; Sungeun Kim; Jingwen Yan; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (ISBI, 2014)

Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. - Jingwen Yan; Heng Huang; Sungeun Kim; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (ISBI, 2014)

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (MICCAI (3), 2014)

Sound transmission through the human body with digital weaver modulation (DWM) method. - Sungeun Kim; Taewook Kang; Junghwan Hwang; Sungweon Kang; Kyunghwan Park (SysCon, 2014)

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. - Jingwen Yan; Lei Du 001; Sungeun Kim; Shannon L. Risacher; Heng Huang; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2014)

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. - Lei Du 001; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Heng Huang; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BIH, 2015)

An Energy Combiner for a Multi-Input Energy-Harvesting System. - Taewook Kang; Sungeun Kim; Changhee Hyoung; Sungweon Kang; Kyunghwan Park (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. - Ailin Song; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Aaron K. Wong; Andrew J. Saykin; Li Shen 001; Casey S. Greene (BioData Min., 2016)

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2016)

Structured sparse CCA for brain imaging genetics via graph OSCAR. - Lei Du 001; Heng Huang; Jingwen Yan; Sungeun Kim; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (BMC Syst. Biol., 2016)

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (RECOMB, 2017)

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. - Xiaohui Yao; Jingwen Yan; Kefei Liu 001; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Casey S. Greene; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Bioinform., 2017)

Two-dimensional enrichment analysis for mining high-level imaging genetic associations. - Xiaohui Yao; Jingwen Yan; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Mark Inlow; Jason H. Moore; Andrew J. Saykin; Li Shen 001 (Brain Informatics, 2017)

A Hybrid Swapping Scheme Based On Per-Process Reclaim for Performance Improvement of Android Smartphones (August 2018). - Junyeong Han; Sungeun Kim; Sungyoung Lee 003; Jaehwan Lee 003; Sung Jo Kim (IEEE Access, 2018)

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. - Xiaoqian Wang 001; Jingwen Yan; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001; Heng Huang (J. Comput. Biol., 2018)

Measurement and Analysis of Electric Signal Transmission Using Human Body as Medium for WBAN Applications. - Taewook Kang; Kwang-Il Oh; Jung-Hwan Hwang; Sungeun Kim; Hyungil Park; Jaejin Lee (IEEE Trans. Instrum. Meas., 2018)

An odd [1, b]-factor in regular graphs from eigenvalues. - Sungeun Kim; Suil O; Jihwan Park; Hyo Ree (Discret. Math., 2020)

Evaluation of Human Body Characteristics for Electric Signal Transmission Based on Measured Body Impulse Response. - Taewook Kang; Sungeun Kim; Kwang-Il Oh; Jung-Hwan Hwang; Jae-Jin Lee; Hyungil Park; Kyungjin Byun; Woojoo Lee (IEEE Trans. Instrum. Meas., 2020)

Contextual Label Transformation For Scene Graph Generation. - Wonhee Lee; Sungeun Kim; Gunhee Kim (ICIP, 2021)

Measurement and Evaluation of Electric Signal Transmission Through Human Body by Channel Modeling, System Design, and Implementation. - 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 (IEEE Trans. Instrum. Meas., 2021)

Spiking Neural Networks-Inspired Signal Detection Based on Measured Body Channel Response. - Taewook Kang; Kwang-Il Oh; Jae-Jin Lee; Sungeun Kim; Seoung-Eun Kim; Woojoo Lee; Wangrok Oh (IEEE Trans. Instrum. Meas., 2022)

Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. - Wongi Park; Inhyuk Park; Sungeun Kim; Jongbin Ryu (ICCV (Workshops), 2023)

A Low-Loss Defected-Ground-Structure Based Phase Shifter and Antenna on a 4-μm Thin Liquid Crystal Layer. - Sungeun Kim; Chan-Byoung Chae; Byung-Wook Min (IEEE Access, 2023)

Generative Self-supervised Learning for Medical Image Classification. - Inhyuk Park; Sungeun Kim; Jongbin Ryu (ACCV (2), 2024)

Unsupervised Hashing Network with Hyper Quantization Tree. - Sungeun Kim; Jongbin Ryu (BMVC, 2024)

Anti-Spoofing for Fingerprint Recognition Using Electric Body Pulse Response. - Taewook Kang; Kwang-Il Oh; Jae-Jin Lee; Sungeun Kim; Woojoo Lee; Wangrok Oh; Seong-Eun Kim (IEEE Internet Things J., 2024)