Seung-Jun Kim

Orcid: 0000-0002-5504-4997

Affiliations:
  • University of Maryland, Computer Science and Electrical Engineering Department, Baltimore, MD, USA
  • University of Minnesota, Digital Technology Center and the Department of Electrical and Computer Engineering, USA (2008-2014)
  • NEC Laboratories America, Princeton, NJ, USA (2005-2008)
  • University of California at Santa Barbara, Department of electrical engineering, CA, USA (PhD 2005)


According to our database1, Seung-Jun Kim authored at least 69 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multiantenna Channel Map Estimation Using Deep Spatial Interpolation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Online Robust Subspace Clustering With Application to Power Grid Monitoring.
IEEE Access, 2023

Unsupervised Radio Scene Analysis Using Variational Autoencoder.
Proceedings of the IEEE International Conference on Communications, 2023

New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Automated Registration for Dual-View X-Ray Mammography Using Convolutional Neural Networks.
IEEE Trans. Biomed. Eng., 2022

Radio Map Estimation: A data-driven approach to spectrum cartography.
IEEE Signal Process. Mag., 2022

Performance of Compressed Sensing MIMO Radar Based on Low-Rank Matrix Recovery.
Proceedings of the IEEE Military Communications Conference, 2022

Unsupervised Radio Scene Analysis Using Neural Expectation Maximization.
Proceedings of the IEEE Military Communications Conference, 2022

2021
Robust RF Mixture Signal Recognition Using Discriminative Dictionary Learning.
IEEE Access, 2021

Kernearl-Based Lifelong Policy Gradient Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2021

Kernel-Based Lifelong Multitask Multiview Learning.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps.
IEEE J. Sel. Top. Signal Process., 2020

Building Energy Management for Demand Response Using Kernel Lifelong Learning.
IEEE Access, 2020

Channel Gain Cartography via Mixture of Experts.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Online Learning-Based Downlink Transmission Coordination in Ultra-Dense Millimeter Wave Heterogeneous Networks.
IEEE Trans. Wirel. Commun., 2019

Towards CNN-Based Registration of Craniocaudal and Mediolateral Oblique 2-D X-ray Mammographic Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Learning to Infer Voltage Stability Margin Using Transfer Learning.
Proceedings of the IEEE Data Science Workshop, 2019

Kernel-Based Efficient Lifelong Learning Algorithm.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Discriminative Dictionary Learning for Mixture Component Detection with Application to RF Signal Recognition.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Channel Gain Cartography for Cognitive Radios Leveraging Low Rank and Sparsity.
IEEE Trans. Wirel. Commun., 2017

Learning Power Spectrum Maps From Quantized Power Measurements.
IEEE Trans. Signal Process., 2017

An Online Convex Optimization Approach to Real-Time Energy Pricing for Demand Response.
IEEE Trans. Smart Grid, 2017

Flexible large-scale fMRI analysis: A survey.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Predicting voltage stability margin via learning stability region boundary.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering.
IEEE Trans. Wirel. Commun., 2016

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types.
Bioinform., 2016

Online robust subspace clustering for analyzing incomplete synchrophasor measurements.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging.
IEEE Trans. Smart Grid, 2015

Spectrum cartography using quantized observations.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Short-term wind power forecasting using nonnegative sparse coding.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Online spectrum cartography via quantized measurements.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

Stochastic semiparametric regression for spectrum cartography.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes].
IEEE Signal Process. Mag., 2014

Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering.
CoRR, 2014

Real-time electricity pricing for demand response using online convex optimization.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Online semidefinite programming for power system state estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Channel gain cartography via low rank and sparsity.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Online optimal power flow with renewables.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Chance-Constrained Optimization of OFDMA Cognitive Radio Uplinks.
IEEE Trans. Wirel. Commun., 2013

Resource Allocation for OFDMA Cognitive Radios Under Channel Uncertainty.
IEEE Trans. Wirel. Commun., 2013

Scalable and Robust Demand Response With Mixed-Integer Constraints.
IEEE Trans. Smart Grid, 2013

Monitoring and Optimization for Power Grids: A Signal Processing Perspective.
IEEE Signal Process. Mag., 2013

Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation.
CoRR, 2013

Cognitive radio spectrum prediction using dictionary learning.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Online learning of load elasticity for electric vehicle charging.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Dynamic learning for cognitive radio sensing.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Load forecasting via low rank plus sparse matrix factorization.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Cross-Layer Design of Wireless Multihop Random Access Networks.
IEEE Trans. Signal Process., 2012

Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Chance-constrained optimization of uplink parameters for OFDMA cognitive radios.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparse robust matrix tri-factorization with application to cancer genomics.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Multi-Band Cognitive Radio Spectrum Sensing for Quality-of-Service Traffic.
IEEE Trans. Wirel. Commun., 2011

Power Control for Cognitive Radio Networks Under Channel Uncertainty.
IEEE Trans. Wirel. Commun., 2011

Channel Gain Map Tracking via Distributed Kriging.
IEEE Trans. Veh. Technol., 2011

Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks.
IEEE Trans. Inf. Theory, 2011

Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering.
IEEE J. Sel. Top. Signal Process., 2011

Cross-Layer Design of Coded Multicast for Wireless Random Access Networks.
IEEE J. Sel. Areas Commun., 2011

Admission and power control for cognitive radio networks by sequential geometric programming.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Power Allocation for Cognitive Radio Networks under Channel Uncertainty.
Proceedings of IEEE International Conference on Communications, 2011

Efficient and scalable demand response for the smart power grid.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Joint link learning and cognitive radio sensing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Sequential and cooperative sensing for multi-channel cognitive radios.
IEEE Trans. Signal Process., 2010

Sequential cooperative sensing for multi-channel cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2010

Minimum-Delay Spectrum Sensing for Multi-Band Cognitive Radios.
Proceedings of the Global Communications Conference, 2010

Collaborative channel gain map tracking for cognitive radios.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Rate-Optimal and Reduced-Complexity Sequential Sensing Algorithms for Cognitive OFDM Radios.
EURASIP J. Adv. Signal Process., 2009


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