Seung-Jun Kim

About Seung-Jun Kim

Seung-Jun Kim, With an exceptional h-index of 29 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Maryland, Baltimore County, specializes in the field of statistical signal processing, optimization, wireless networks, smart grids, big data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Online Robust Subspace Clustering with Application to Power Grid Monitoring

Performance of Compressed Sensing MIMO Radar Based on Low-Rank Matrix Recovery

Unsupervised radio scene analysis using neural expectation maximization

Radio map estimation: A data-driven approach to spectrum cartography

Automated registration for dual-view x-ray mammography using convolutional neural networks

Kernel-based lifelong multitask multiview learning

Robust RF mixture signal recognition using discriminative dictionary learning

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm

Seung-Jun Kim Information

University

Position

___

Citations(all)

3126

Citations(since 2020)

1000

Cited By

2548

hIndex(all)

29

hIndex(since 2020)

17

i10Index(all)

55

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Seung-Jun Kim Skills & Research Interests

statistical signal processing

optimization

wireless networks

smart grids

big data

Top articles of Seung-Jun Kim

Online Robust Subspace Clustering with Application to Power Grid Monitoring

IEEE Access

2023/3/15

Young-Hwan Lee
Young-Hwan Lee

H-Index: 2

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Performance of Compressed Sensing MIMO Radar Based on Low-Rank Matrix Recovery

2022/11/28

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Unsupervised radio scene analysis using neural expectation maximization

2022/11/28

Hao Chen
Hao Chen

H-Index: 7

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Radio map estimation: A data-driven approach to spectrum cartography

IEEE Signal Processing Magazine

2022/10/27

Daniel Romero
Daniel Romero

H-Index: 11

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Automated registration for dual-view x-ray mammography using convolutional neural networks

IEEE Transactions on Biomedical Engineering

2022/5/6

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Kernel-based lifelong multitask multiview learning

2021/10/31

Rami Mowakeaa
Rami Mowakeaa

H-Index: 3

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Robust RF mixture signal recognition using discriminative dictionary learning

IEEE Access

2021/10/15

Hao Chen
Hao Chen

H-Index: 7

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm

2021/6/6

Zois Boukouvalas
Zois Boukouvalas

H-Index: 10

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Kernel-Based Lifelong Policy Gradient Reinforcement Learning

2021/6/6

Rami Mowakeaa
Rami Mowakeaa

H-Index: 3

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Channel gain cartography via mixture of experts

2020/12/7

Baltasar Beferull-Lozano
Baltasar Beferull-Lozano

H-Index: 14

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Dictionary learning-based fMRI data analysis for capturing common and individual neural activation maps

IEEE Journal of Selected Topics in Signal Processing

2020/5/4

Rui Jin
Rui Jin

H-Index: 0

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

Building energy management for demand response using kernel lifelong learning

IEEE Access

2020/4/28

Rami Mowakeaa
Rami Mowakeaa

H-Index: 3

Seung-Jun Kim
Seung-Jun Kim

H-Index: 18

See List of Professors in Seung-Jun Kim University(University of Maryland, Baltimore County)

Co-Authors

academic-engine