Sangseok Yun

About Sangseok Yun

Sangseok Yun, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Pukyong National University, specializes in the field of Machine Learning, Deep Learning, Wireless communications, Physical layer security.

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

OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet-of-Things

Secure Power Control for Downlink Cell-Free Massive MIMO With Passive Eavesdroppers

Enhanced Non-Maximum Suppression for the Detection of Steel Surface Defects

RandMixAugment: A Novel Unified Technique for Region-and Image-Level Data Augmentations

Redundancy Management in Federated Learning for Fast Communication

Ghostformer: A GhostNet-based two-stage transformer for small object detection

A robust approach for brain tumor detection in magnetic resonance images using finetuned efficientnet

Competing miners: A synergetic solution for combining blockchain and edge computing in unmanned aerial vehicle networks

Sangseok Yun Information

University

Position

___

Citations(all)

275

Citations(since 2020)

248

Cited By

64

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Sangseok Yun Skills & Research Interests

Machine Learning

Deep Learning

Wireless communications

Physical layer security

Top articles of Sangseok Yun

OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet-of-Things

IEEE Internet of Things Journal

2024/4/18

Secure Power Control for Downlink Cell-Free Massive MIMO With Passive Eavesdroppers

IEEE Transactions on Vehicular Technology

2024/1/1

Sangseok Yun
Sangseok Yun

H-Index: 4

Jeongseok Ha
Jeongseok Ha

H-Index: 16

Enhanced Non-Maximum Suppression for the Detection of Steel Surface Defects

Mathematics

2023/9/13

RandMixAugment: A Novel Unified Technique for Region-and Image-Level Data Augmentations

IEEE Access

2023/8/15

Redundancy Management in Federated Learning for Fast Communication

IEEE Transactions on Communications

2023/8/4

Ghostformer: A GhostNet-based two-stage transformer for small object detection

Sensors

2022/9/14

Sangseok Yun
Sangseok Yun

H-Index: 4

Jae-Mo Kang
Jae-Mo Kang

H-Index: 11

A robust approach for brain tumor detection in magnetic resonance images using finetuned efficientnet

Ieee Access

2022/6/17

Competing miners: A synergetic solution for combining blockchain and edge computing in unmanned aerial vehicle networks

Applied Sciences

2022/3/2

Deep Neural Network-Based Precoder for Fairness Aware Secure NOMA Scheme

IEEE Transactions on Vehicular Technology

2022/2/24

Cooperative inference of DNNs for delay-and memory-constrained wireless IoT systems

IEEE Internet of Things Journal

2022/2/17

Mixer U-Net: An improved automatic road extraction from UAV imagery

Applied Sciences

2022/2/13

Sangseok Yun
Sangseok Yun

H-Index: 4

Jae-Mo Kang
Jae-Mo Kang

H-Index: 11

MSE-based joint transceiver and passive beamforming designs for intelligent reflecting surface-aided MIMO systems

IEEE Wireless Communications Letters

2021/12/28

Cooperative inference of DNNs over noisy wireless channels

IEEE Transactions on Vehicular Technology

2021/6/24

Fast federated learning by balancing communication trade-offs

IEEE Transactions on Communications

2021/5/24

Apparatus and method for secure communication using artificial noise scheme

2021/5/4

Deep learning-based ground vibration monitoring: Reinforcement learning and RNN–CNN approach

IEEE Geoscience and Remote Sensing Letters

2021/3/30

Deep artificial noise: Deep learning-based precoding optimization for artificial noise scheme

IEEE Transactions on Vehicular Technology

2020/1/13

See List of Professors in Sangseok Yun University(Pukyong National University)