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ORCIDSeung-Jun Kim 0002
Person information
- affiliation: University of Maryland, Computer Science and Electrical Engineering Department, Baltimore, MD, USA
- affiliation (2008-2014): University of Minnesota, Digital Technology Center and the Department of Electrical and Computer Engineering, USA
- affiliation (2005-2008): NEC Laboratories America, Princeton, NJ, USA
- affiliation (PhD 2005): University of California at Santa Barbara, Department of electrical engineering, CA, USA
Other persons with the same name
- Seungjun Kim (aka: SeungJun Kim, Seung-Jun Kim) — disambiguation page
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2020 – today
- 2023
[j27]Young-Hwan Lee, Seung-Jun Kim
, Kwang Y. Lee, Taesik Nam:
Online Robust Subspace Clustering With Application to Power Grid Monitoring. IEEE Access 11: 27816-27828 (2023)- [c43]Rui Jin, Shuai Xu, Seung-Jun Kim, Vince D. Calhoun:
Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning. ACSSC 2023: 1458-1462 - [c42]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. ICASSP 2023: 1-5 - [c41]Hao Chen, Seung-Jun Kim:
Unsupervised Radio Scene Analysis Using Variational Autoencoder. ICC 2023: 4591-4596 - 2022
- [j26]Daniel Romero, Seung-Jun Kim:
Radio Map Estimation: A data-driven approach to spectrum cartography. IEEE Signal Process. Mag. 39(6): 53-72 (2022) - [j25]William C. Walton, Seung-Jun Kim, Lisa A. Mullen:
Automated Registration for Dual-View X-Ray Mammography Using Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 69(11): 3538-3550 (2022) - [c40]Byron McMullen, Seung-Jun Kim:
Performance of Compressed Sensing MIMO Radar Based on Low-Rank Matrix Recovery. MILCOM 2022: 330-335 - [c39]Hao Chen, Seung-Jun Kim:
Unsupervised Radio Scene Analysis Using Neural Expectation Maximization. MILCOM 2022: 368-373 - [i5]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning. CoRR abs/2211.07374 (2022) - 2021
- [j24]Hao Chen, Seung-Jun Kim:
Robust RF Mixture Signal Recognition Using Discriminative Dictionary Learning. IEEE Access 9: 141107-141120 (2021) - [c38]Rami Mowakeaa, Seung-Jun Kim, Darren K. Emge:
Kernel-Based Lifelong Multitask Multiview Learning. ACSCC 2021: 167-171 - [c37]Rami Mowakeaa, Seung-Jun Kim, Darren K. Emge:
Kernearl-Based Lifelong Policy Gradient Reinforcement Learning. ICASSP 2021: 3500-3504 - [c36]Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali:
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. ICASSP 2021: 3720-3724 - 2020
- [j23]Sunyong Kim, Rami Mowakeaa, Seung-Jun Kim, Hyuk Lim:
Building Energy Management for Demand Response Using Kernel Lifelong Learning. IEEE Access 8: 82131-82141 (2020) - [j22]Rui Jin, Krishna Dontaraju, Seung-Jun Kim, Mohammad Abu Baker Siddique Akhonda, Tülay Adali:
Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps. IEEE J. Sel. Top. Signal Process. 14(6): 1265-1279 (2020) - [c35]Luis M. Lopez-Ramos, Yves Teganya, Baltasar Beferull-Lozano, Seung-Jun Kim:
Channel Gain Cartography via Mixture of Experts. GLOBECOM 2020: 1-7 - [i4]Luis M. Lopez-Ramos, Yves Teganya, Baltasar Beferull-Lozano, Seung-Jun Kim:
Channel Gain Cartography via Mixture of Experts. CoRR abs/2012.04290 (2020)
2010 – 2019
- 2019
- [j21]Ryangsoo Kim, Yonggang Kim, Nam Yul Yu, Seung-Jun Kim, Hyuk Lim:
Online Learning-Based Downlink Transmission Coordination in Ultra-Dense Millimeter Wave Heterogeneous Networks. IEEE Trans. Wirel. Commun. 18(4): 2200-2214 (2019) - [c34]Seung-Jun Kim, Rami Mowakeaa:
Kernel-Based Efficient Lifelong Learning Algorithm. DSW 2019: 175-179 - [c33]Jiaming Li, Yue Zhao, Young-Hwan Lee, Seung-Jun Kim:
Learning to Infer Voltage Stability Margin Using Transfer Learning. DSW 2019: 270-274 - [c32]William C. Walton, Seung-Jun Kim, Susan C. Harvey, Lisa A. Mullen, David W. Porter:
Towards CNN-Based Registration of Craniocaudal and Mediolateral Oblique 2-D X-ray Mammographic Images. EMBC 2019: 2758-2764 - 2018
- [c31]Hao Chen, Seung-Jun Kim, Thomas Chatt:
Discriminative Dictionary Learning for Mixture Component Detection with Application to RF Signal Recognition. ACSSC 2018: 835-839 - [c30]Krishna Dontaraju, Seung-Jun Kim, Mohammad A. B. S. Akhonda, Tülay Adali:
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning. ACSSC 2018: 1351-1356 - 2017
- [j20]Seung-Jun Kim, Georgios B. Giannakis:
An Online Convex Optimization Approach to Real-Time Energy Pricing for Demand Response. IEEE Trans. Smart Grid 8(6): 2784-2793 (2017) - [j19]Daniel Romero, Seung-Jun Kim, Georgios B. Giannakis, Roberto López-Valcarce:
Learning Power Spectrum Maps From Quantized Power Measurements. IEEE Trans. Signal Process. 65(10): 2547-2560 (2017) - [j18]Donghoon Lee, Seung-Jun Kim, Georgios B. Giannakis:
Channel Gain Cartography for Cognitive Radios Leveraging Low Rank and Sparsity. IEEE Trans. Wirel. Commun. 16(9): 5953-5966 (2017) - [c29]Young-Hwan Lee, Yue Zhao, Seung-Jun Kim, Jiaming Li:
Predicting voltage stability margin via learning stability region boundary. CAMSAP 2017: 1-5 - [c28]Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
Flexible large-scale fMRI analysis: A survey. ICASSP 2017: 6319-6323 - 2016
- [j17]Sunho Park, Seung-Jun Kim, Donghyeon Yu, Samuel Peña-Llopis, Jianjiong Gao, Jinsuk Park, Beibei Chen, Jessie Norris, Xinlei Wang, Min Chen, Min-Su Kim, Jeongsik Yong, Zabi Wardak, Kevin Choe, Michael Story, Timothy K. Starr, Jae-Ho Cheong, TaeHyun Hwang:
An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. Bioinform. 32(11): 1643-1651 (2016) - [j16]Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis:
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering. IEEE Trans. Wirel. Commun. 15(2): 899-912 (2016) - [c27]Young-Hwan Lee, Seung-Jun Kim:
Online robust subspace clustering for analyzing incomplete synchrophasor measurements. GlobalSIP 2016: 816-820 - [i3]Daniel Romero, Seung-Jun Kim, Georgios B. Giannakis, Roberto López-Valcarce:
Learning Power Spectrum Maps from Quantized Power Measurements. CoRR abs/1606.02679 (2016) - 2015
- [j15]Nasim Yahya Soltani, Seung-Jun Kim, Georgios B. Giannakis:
Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging. IEEE Trans. Smart Grid 6(3): 1303-1313 (2015) - [c26]Daniel Romero, Seung-Jun Kim, Georgios B. Giannakis:
Stochastic semiparametric regression for spectrum cartography. CAMSAP 2015: 513-516 - [c25]Daniel Romero, Seung-Jun Kim, Georgios B. Giannakis:
Online spectrum cartography via quantized measurements. CISS 2015: 1-4 - [c24]Yu Zhang, Seung-Jun Kim, Georgios B. Giannakis:
Short-term wind power forecasting using nonnegative sparse coding. CISS 2015: 1-5 - [c23]Daniel Romero, Seung-Jun Kim, Roberto López-Valcarce, Georgios B. Giannakis:
Spectrum cartography using quantized observations. ICASSP 2015: 3252-3256 - 2014
- [j14]Konstantinos Slavakis, Seung-Jun Kim, Gonzalo Mateos, Georgios B. Giannakis:
Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. IEEE Signal Process. Mag. 31(6): 124-129 (2014) - [c22]Seung-Jun Kim, Georgios B. Giannakis, Kwang Y. Lee:
Online optimal power flow with renewables. ACSSC 2014: 355-360 - [c21]Donghoon Lee, Seung-Jun Kim:
Channel gain cartography via low rank and sparsity. ACSSC 2014: 1479-1483 - [c20]Seung-Jun Kim, Gang Wang, Georgios B. Giannakis:
Online semidefinite programming for power system state estimation. ICASSP 2014: 6024-6027 - [c19]Seung-Jun Kim, Georgios B. Giannakis:
Real-time electricity pricing for demand response using online convex optimization. ISGT 2014: 1-5 - [i2]Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis:
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering. CoRR abs/1409.8359 (2014) - 2013
- [j13]Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis, Seung-Jun Kim, Hao Zhu, Bruce F. Wollenberg:
Monitoring and Optimization for Power Grids: A Signal Processing Perspective. IEEE Signal Process. Mag. 30(5): 107-128 (2013) - [j12]Seung-Jun Kim, Georgios B. Giannakis:
Scalable and Robust Demand Response With Mixed-Integer Constraints. IEEE Trans. Smart Grid 4(4): 2089-2099 (2013) - [j11]Nasim Yahya Soltani, Seung-Jun Kim, Georgios B. Giannakis:
Chance-Constrained Optimization of OFDMA Cognitive Radio Uplinks. IEEE Trans. Wirel. Commun. 12(3): 1098-1107 (2013) - [j10]Seung-Jun Kim, Nasim Yahya Soltani, Georgios B. Giannakis:
Resource Allocation for OFDMA Cognitive Radios Under Channel Uncertainty. IEEE Trans. Wirel. Commun. 12(7): 3578-3587 (2013) - [c18]Seung-Jun Kim, Georgios B. Giannakis:
Load forecasting via low rank plus sparse matrix factorization. ACSSC 2013: 1682-1686 - [c17]Seung-Jun Kim, Georgios B. Giannakis:
Dynamic learning for cognitive radio sensing. CAMSAP 2013: 388-391 - [c16]Nasim Yahya Soltani, Seung-Jun Kim, Georgios B. Giannakis:
Online learning of load elasticity for electric vehicle charging. CAMSAP 2013: 436-439 - [c15]Seung-Jun Kim, Georgios B. Giannakis:
Cognitive radio spectrum prediction using dictionary learning. GLOBECOM 2013: 3206-3211 - [i1]Gang Wang, Seung-Jun Kim, Georgios B. Giannakis:
Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation. CoRR abs/1312.5349 (2013) - 2012
- [j9]Morteza Mardani, Seung-Jun Kim, Georgios B. Giannakis:
Cross-Layer Design of Wireless Multihop Random Access Networks. IEEE Trans. Signal Process. 60(5): 2562-2574 (2012) - [c14]Seung-Jun Kim, TaeHyun Hwang, Georgios B. Giannakis:
Sparse robust matrix tri-factorization with application to cancer genomics. CIP 2012: 1-6 - [c13]Nasim Yahya Soltani, Seung-Jun Kim, Georgios B. Giannakis:
Chance-constrained optimization of uplink parameters for OFDMA cognitive radios. ICASSP 2012: 2813-2816 - [c12]Seung-Jun Kim, Swayambhoo Jain, Georgios B. Giannakis:
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering. SPAWC 2012: 65-69 - 2011
- [j8]Ketan Rajawat, Nikolaos Gatsis, Seung-Jun Kim, Georgios B. Giannakis:
Cross-Layer Design of Coded Multicast for Wireless Random Access Networks. IEEE J. Sel. Areas Commun. 29(10): 1970-1980 (2011) - [j7]Seung-Jun Kim, Emiliano Dall'Anese, Georgios B. Giannakis:
Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering. IEEE J. Sel. Top. Signal Process. 5(1): 24-36 (2011) - [j6]Seung-Jun Kim, Georgios B. Giannakis:
Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks. IEEE Trans. Inf. Theory 57(5): 3117-3131 (2011) - [j5]Emiliano Dall'Anese, Seung-Jun Kim, Georgios B. Giannakis:
Channel Gain Map Tracking via Distributed Kriging. IEEE Trans. Veh. Technol. 60(3): 1205-1211 (2011) - [j4]Seung-Jun Kim, Guobing Li, Georgios B. Giannakis:
Multi-Band Cognitive Radio Spectrum Sensing for Quality-of-Service Traffic. IEEE Trans. Wirel. Commun. 10(10): 3506-3515 (2011) - [j3]Emiliano Dall'Anese, Seung-Jun Kim, Georgios B. Giannakis, Silvano Pupolin:
Power Control for Cognitive Radio Networks Under Channel Uncertainty. IEEE Trans. Wirel. Commun. 10(10): 3541-3551 (2011) - [c11]Seung-Jun Kim, Nitin Jain, Georgios B. Giannakis, Pedro A. Forero:
Joint link learning and cognitive radio sensing. ACSCC 2011: 1415-1419 - [c10]Seung-Jun Kim, Georgios B. Giannakis:
Efficient and scalable demand response for the smart power grid. CAMSAP 2011: 109-112 - [c9]Ketan Rajawat, Nikolaos Gatsis, Seung-Jun Kim, Georgios B. Giannakis:
Cross-layer design of coded multicast for wireless random access networks. CISS 2011: 1-6 - [c8]Seung-Jun Kim, Nasim Yahya Soltani, Georgios B. Giannakis:
Resource allocation for OFDMA cognitive radios under channel uncertainty. ICASSP 2011: 3188-3191 - [c7]Emiliano Dall'Anese, Seung-Jun Kim, Georgios B. Giannakis, Silvano Pupolin:
Power Allocation for Cognitive Radio Networks under Channel Uncertainty. ICC 2011: 1-6 - [c6]Emiliano Dall'Anese, Seung-Jun Kim, Georgios B. Giannakis:
Admission and power control for cognitive radio networks by sequential geometric programming. DSP 2011: 1-8 - 2010
- [j2]Seung-Jun Kim, Georgios B. Giannakis:
Sequential and cooperative sensing for multi-channel cognitive radios. IEEE Trans. Signal Process. 58(8): 4239-4253 (2010) - [c5]Seung-Jun Kim, Emiliano Dall'Anese, Georgios B. Giannakis, Silvano Pupolin:
Collaborative channel gain map tracking for cognitive radios. CIP 2010: 338-343 - [c4]Seung-Jun Kim, Guobing Li, Georgios B. Giannakis:
Minimum-Delay Spectrum Sensing for Multi-Band Cognitive Radios. GLOBECOM 2010: 1-5 - [c3]Seung-Jun Kim, Georgios B. Giannakis:
Sequential cooperative sensing for multi-channel cognitive radios. ICASSP 2010: 2950-2953
2000 – 2009
- 2009
- [j1]Seung-Jun Kim, Georgios B. Giannakis:
Rate-Optimal and Reduced-Complexity Sequential Sensing Algorithms for Cognitive OFDM Radios. EURASIP J. Adv. Signal Process. 2009 (2009) - [c2]Seung-Jun Kim, Georgios B. Giannakis:
Rate-optimal and reduced-complexity sequential sensing algorithms for cognitive OFDM radios. CISS 2009: 141-146 - 2008
- [c1]Seung-Jun Kim, Georgios B. Giannakis:
Optimal resource allocation for MIMO ad hoc cognitive radio networks. Allerton 2008: 39-45
Coauthor Index
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