Rate-Optimal and Reduced-Complexity Sequential Sensing Algorithms for Cognitive OFDM Radios. - Seung-Jun Kim 002; Georgios B. Giannakis (EURASIP J. Adv. Signal Process., 2009)

Collaborative channel gain map tracking for cognitive radios. - Seung-Jun Kim 002; Emiliano Dall'Anese; Georgios B. Giannakis; Silvano Pupolin (CIP, 2010)

Minimum-Delay Spectrum Sensing for Multi-Band Cognitive Radios. - Seung-Jun Kim 002; Guobing Li; Georgios B. Giannakis (GLOBECOM, 2010)

Sequential cooperative sensing for multi-channel cognitive radios. - Seung-Jun Kim 002; Georgios B. Giannakis (ICASSP, 2010)

Sequential and cooperative sensing for multi-channel cognitive radios. - Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2010)

Joint link learning and cognitive radio sensing. - Seung-Jun Kim 002; Nitin Jain; Georgios B. Giannakis; Pedro A. Forero (ACSCC, 2011)

Efficient and scalable demand response for the smart power grid. - Seung-Jun Kim 002; Georgios B. Giannakis (CAMSAP, 2011)

Power Allocation for Cognitive Radio Networks under Channel Uncertainty. - Emiliano Dall'Anese; Seung-Jun Kim 002; Georgios B. Giannakis; Silvano Pupolin (ICC, 2011)

Admission and power control for cognitive radio networks by sequential geometric programming. - Emiliano Dall'Anese; Seung-Jun Kim 002; Georgios B. Giannakis (DSP, 2011)

Cross-Layer Design of Coded Multicast for Wireless Random Access Networks. - Ketan Rajawat; Nikolaos Gatsis; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE J. Sel. Areas Commun., 2011)

Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering. - Seung-Jun Kim 002; Emiliano Dall'Anese; Georgios B. Giannakis (IEEE J. Sel. Top. Signal Process., 2011)

Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks. - Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Inf. Theory, 2011)

Channel Gain Map Tracking via Distributed Kriging. - Emiliano Dall'Anese; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Veh. Technol., 2011)

Power Control for Cognitive Radio Networks Under Channel Uncertainty. - Emiliano Dall'Anese; Seung-Jun Kim 002; Georgios B. Giannakis; Silvano Pupolin (IEEE Trans. Wirel. Commun., 2011)

Multi-Band Cognitive Radio Spectrum Sensing for Quality-of-Service Traffic. - Seung-Jun Kim 002; Guobing Li; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2011)

Sparse robust matrix tri-factorization with application to cancer genomics. - Seung-Jun Kim 002; TaeHyun Hwang; Georgios B. Giannakis (CIP, 2012)

Chance-constrained optimization of uplink parameters for OFDMA cognitive radios. - Nasim Yahya Soltani; Seung-Jun Kim 002; Georgios B. Giannakis (ICASSP, 2012)

Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. - Seung-Jun Kim 002; Swayambhoo Jain; Georgios B. Giannakis (SPAWC, 2012)

Cross-Layer Design of Wireless Multihop Random Access Networks. - Morteza Mardani; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2012)

Load forecasting via low rank plus sparse matrix factorization. - Seung-Jun Kim 002; Georgios B. Giannakis (ACSSC, 2013)

Dynamic learning for cognitive radio sensing. - Seung-Jun Kim 002; Georgios B. Giannakis (CAMSAP, 2013)

Online learning of load elasticity for electric vehicle charging. - Nasim Yahya Soltani; Seung-Jun Kim 002; Georgios B. Giannakis (CAMSAP, 2013)

Cognitive radio spectrum prediction using dictionary learning. - Seung-Jun Kim 002; Georgios B. Giannakis (GLOBECOM, 2013)

Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation. - Gang Wang 014; Seung-Jun Kim 002; Georgios B. Giannakis (CoRR, 2013)

Monitoring and Optimization for Power Grids: A Signal Processing Perspective. - Georgios B. Giannakis; Vassilis Kekatos; Nikolaos Gatsis; Seung-Jun Kim 002; Hao Zhu 001; Bruce F. Wollenberg (IEEE Signal Process. Mag., 2013)

Scalable and Robust Demand Response With Mixed-Integer Constraints. - Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2013)

Resource Allocation for OFDMA Cognitive Radios Under Channel Uncertainty. - Seung-Jun Kim 002; Nasim Yahya Soltani; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2013)

Chance-Constrained Optimization of OFDMA Cognitive Radio Uplinks. - Nasim Yahya Soltani; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2013)

Online optimal power flow with renewables. - Seung-Jun Kim 002; Georgios B. Giannakis; Kwang Y. Lee (ACSSC, 2014)

Channel gain cartography via low rank and sparsity. - Donghoon Lee 005; Seung-Jun Kim 002 (ACSSC, 2014)

Online semidefinite programming for power system state estimation. - Seung-Jun Kim 002; Gang Wang 014; Georgios B. Giannakis (ICASSP, 2014)

Real-time electricity pricing for demand response using online convex optimization. - Seung-Jun Kim 002; Georgios B. Giannakis (ISGT, 2014)

Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. - Swayambhoo Jain; Seung-Jun Kim 002; Georgios B. Giannakis (CoRR, 2014)

Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. - Konstantinos Slavakis; Seung-Jun Kim 002; Gonzalo Mateos; Georgios B. Giannakis (IEEE Signal Process. Mag., 2014)

Stochastic semiparametric regression for spectrum cartography. - Daniel Romero 004; Seung-Jun Kim 002; Georgios B. Giannakis (CAMSAP, 2015)

Online spectrum cartography via quantized measurements. - Daniel Romero 004; Seung-Jun Kim 002; Georgios B. Giannakis (CISS, 2015)

Short-term wind power forecasting using nonnegative sparse coding. - Yu Zhang 005; Seung-Jun Kim 002; Georgios B. Giannakis (CISS, 2015)

Spectrum cartography using quantized observations. - Daniel Romero 004; Seung-Jun Kim 002; Roberto López-Valcarce; Georgios B. Giannakis (ICASSP, 2015)

Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging. - Nasim Yahya Soltani; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2015)

Online robust subspace clustering for analyzing incomplete synchrophasor measurements. - Young-Hwan Lee; Seung-Jun Kim 002 (GlobalSIP, 2016)

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. - Sunho Park; Seung-Jun Kim 002; Donghyeon Yu; Samuel Peña-Llopis; Jianjiong Gao; Jinsuk Park; Beibei Chen; Jessie Norris; Xinlei Wang 001; Min Chen 014; Min-Su Kim; Jeongsik Yong; et al. (Bioinform., 2016)

Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. - Swayambhoo Jain; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2016)

Predicting voltage stability margin via learning stability region boundary. - Young-Hwan Lee; Yue Zhao 007; Seung-Jun Kim 002; Jiaming Li (CAMSAP, 2017)

Flexible large-scale fMRI analysis: A survey. - Seung-Jun Kim 002; Vince D. Calhoun; Tülay Adali (ICASSP, 2017)

An Online Convex Optimization Approach to Real-Time Energy Pricing for Demand Response. - Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2017)

Learning Power Spectrum Maps From Quantized Power Measurements. - Daniel Romero 004; Seung-Jun Kim 002; Georgios B. Giannakis; Roberto López-Valcarce (IEEE Trans. Signal Process., 2017)

Channel Gain Cartography for Cognitive Radios Leveraging Low Rank and Sparsity. - Donghoon Lee 005; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2017)

Discriminative Dictionary Learning for Mixture Component Detection with Application to RF Signal Recognition. - Hao Chen 068; Seung-Jun Kim 002; Thomas Chatt (ACSSC, 2018)

Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning. - Krishna Dontaraju; Seung-Jun Kim 002; Mohammad A. B. S. Akhonda; Tülay Adali (ACSSC, 2018)

Kernel-Based Efficient Lifelong Learning Algorithm. - Seung-Jun Kim 002; Rami Mowakeaa (DSW, 2019)

Learning to Infer Voltage Stability Margin Using Transfer Learning. - Jiaming Li; Yue Zhao 007; Young-Hwan Lee; Seung-Jun Kim 002 (DSW, 2019)

Towards CNN-Based Registration of Craniocaudal and Mediolateral Oblique 2-D X-ray Mammographic Images. - William C. Walton; Seung-Jun Kim 002; Susan C. Harvey; Lisa A. Mullen; David W. Porter (EMBC, 2019)

Online Learning-Based Downlink Transmission Coordination in Ultra-Dense Millimeter Wave Heterogeneous Networks. - Ryangsoo Kim; Yonggang Kim; Nam Yul Yu; Seung-Jun Kim 002; Hyuk Lim (IEEE Trans. Wirel. Commun., 2019)

Channel Gain Cartography via Mixture of Experts. - Luis M. Lopez-Ramos; Yves Teganya; Baltasar Beferull-Lozano; Seung-Jun Kim 002 (GLOBECOM, 2020)

Building Energy Management for Demand Response Using Kernel Lifelong Learning. - Sunyong Kim; Rami Mowakeaa; Seung-Jun Kim 002; Hyuk Lim (IEEE Access, 2020)

Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps. - Rui Jin; Krishna Dontaraju; Seung-Jun Kim 002; Mohammad Abu Baker Siddique Akhonda; Tülay Adali (IEEE J. Sel. Top. Signal Process., 2020)

Kernel-Based Lifelong Multitask Multiview Learning. - Rami Mowakeaa; Seung-Jun Kim 002; Darren K. Emge (ACSCC, 2021)

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. - Ben Gabrielson; Mohammad A. B. S. Akhonda; Zois Boukouvalas; Seung-Jun Kim 002; Tülay Adali (ICASSP, 2021)

Kernearl-Based Lifelong Policy Gradient Reinforcement Learning. - Rami Mowakeaa; Seung-Jun Kim 002; Darren K. Emge (ICASSP, 2021)

Robust RF Mixture Signal Recognition Using Discriminative Dictionary Learning. - Hao Chen 068; Seung-Jun Kim 002 (IEEE Access, 2021)

Unsupervised Radio Scene Analysis Using Neural Expectation Maximization. - Hao Chen 068; Seung-Jun Kim 002 (MILCOM, 2022)

Performance of Compressed Sensing MIMO Radar Based on Low-Rank Matrix Recovery. - Byron McMullen; Seung-Jun Kim 002 (MILCOM, 2022)

Radio Map Estimation: A data-driven approach to spectrum cartography. - Daniel Romero 004; Seung-Jun Kim 002 (IEEE Signal Process. Mag., 2022)

Automated Registration for Dual-View X-Ray Mammography Using Convolutional Neural Networks. - William C. Walton; Seung-Jun Kim 002; Lisa A. Mullen (IEEE Trans. Biomed. Eng., 2022)

Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning. - Rui Jin; Shuai Xu; Seung-Jun Kim 002; Vince D. Calhoun (ACSSC, 2023)

New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. - Fateme Ghayem; Hanlu Yang 001; Furkan Kantar; Seung-Jun Kim 002; Vince D. Calhoun; Tülay Adali (ICASSP, 2023)

Unsupervised Radio Scene Analysis Using Variational Autoencoder. - Hao Chen; Seung-Jun Kim 002 (ICC, 2023)

Online Robust Subspace Clustering With Application to Power Grid Monitoring. - Young-Hwan Lee; Seung-Jun Kim 002; Kwang Y. Lee; Taesik Nam (IEEE Access, 2023)

Improved Dictionary Learning for FMRI Data Analysis Capturing Common and Individual Activation Maps. - Shuai Xu; Rui Jin; Seung-Jun Kim 002; Tülay Adali; Vince D. Calhoun (IEEECONF, 2024)

FMRI Data Analysis Preserving Map Variability Via Unsupervised Object-Centric Learning. - Rui Jin; Seung-Jun Kim 002 (EMBC, 2024)

Multiantenna Channel Map Estimation Using Deep Spatial Interpolation. - Gyungmin Kim; Rui Jin; Wilson Funk; Seung-Jun Kim 002; Hyuk Lim (ICASSP Workshops, 2024)

Multiset FMRI Data Analysis with Subject Group Information using Structured Dictionary Learning. - Shuai Xu; Rui Jin; Seung-Jun Kim 002; Vince D. Calhoun; Tülay Adali (ISBI, 2025)