Do-Yup Kim

Assistant Professor

Kyungnam University

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Do-Yup Kim is an Assistant Professor at Kyungnam University in South Korea. His research focuses on advanced topics in machine learning, communication networks, and resource management, as evidenced by his recent articles on unsupervised representation learning, dynamic scheduling in IoT networks, and UAV optimization. He is also engaged in exploring the intersections of blockchain technology and federated learning.

Articles (15)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (6)

Hamid Jafarkhani

UNITED STATES

View details

Chae-Bong Sohn

Prof.

Kwangwoon University

SOUTH KOREA

View details

Hyun-Suk Lee

Sejong University

SOUTH KOREA

View details

Kyungsik Min

Assistant Professor

Gachon University

SOUTH KOREA

View details

Jang-Won Lee

Yonsei University

SOUTH KOREA

View details

Dae Yeol Kim

Kwangwoon University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Do-Yup Kim

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

A Taxonomy and Theoretical Analysis of Collapse Phenomena in Unsupervised Representation Learning

Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning

Universal Dynamic Pilot Allocation for Beam Alignment Based on Multi-Armed Bandits

On the Use of High-Rise Topographic Features for Optimal Aerial Base Station Placement

A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models

Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification

Cell-Free Massive MIMO System With Dedicated Interference Cancellation Access Points

Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks

Joint Trajectory Design and Sub-channel Allocation in the UAV Relaying OFDMA Network

Joint Antenna and Device Scheduling in Full-Duplex MIMO Wireless-Powered Communication Networks

Radio and Energy Resource Management in Renewable Energy-Powered Wireless Networks With Deep Reinforcement Learning

Low-Complexity Dynamic Resource Scheduling for Downlink MC-NOMA Over Fading Channels

Joint Antenna and User Scheduling in the Massive MIMO System Over Time-Varying Fading Channels

Joint Mission Assignment and Topology Management in the Mission-Critical FANET

Joint Mission Assignment and Topology Management in the Mission-Critical FANET

Collaborators (6)

Hamid Jafarkhani

Chae-Bong Sohn

Hyun-Suk Lee

Kyungsik Min

Jang-Won Lee

Dae Yeol Kim

Make your next move.