b'Won Joon Yun'

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Featured Co-authors

Mehdi Bennis
180 publications
Joongheon Kim
81 publications
Jihong Park
75 publications
Mingyue Ji
55 publications
Andreas F. Molisch
47 publications
Chanyoung Park
41 publications
Soyi Jung
39 publications
Hao Feng
28 publications
David Mohaisen
23 publications
Minseok Choi
20 publications
Soohyun Park
19 publications

research

∙ 06/28/2023

Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare

The prodigious growth of digital health data has precipitated a mounting...

0 Won Joon Yun, et al. ∙

research

∙ 02/09/2023

Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems

This paper proposes a novel quantum multi-agent actor-critic networks (Q...

0 Chanyoung Park, et al. ∙

research

∙ 02/08/2023

EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback

This paper proposes an efficient quantum train engine (EQuaTE), a novel ...

0 Soohyun Park, et al. ∙

research

∙ 01/04/2023

Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management

As one of the latest fields of interest in both academia and industry, q...

0 Won Joon Yun, et al. ∙

research

∙ 12/31/2022

Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems

According to the rapid development of drone technologies, drones are wid...

0 Hyunsoo Lee, et al. ∙

research

∙ 12/04/2022

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

While witnessing the noisy intermediate-scale quantum (NISQ) era and bey...

0 Won Joon Yun, et al. ∙

research

∙ 11/24/2022

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

Quantum machine learning (QML) has received a lot of attention according...

0 Chanyoung Park, et al. ∙

research

∙ 11/12/2022

Quantum Split Neural Network Learning using Cross-Channel Pooling

In recent years, quantum has been attracted by various fields such as qu...

0 Won Joon Yun, et al. ∙

research

∙ 10/30/2022

Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification

In recent years, quantum machine learning (QML) has been actively used f...

0 Won Joon Yun, et al. ∙

research

∙ 10/18/2022

3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications

With the beginning of the noisy intermediate-scale quantum (NISQ) era, a...

0 Hankyul Baek, et al. ∙

research

∙ 10/03/2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control

This paper addresses a novel multi-agent deep reinforcement learning (MA...

0 Chanyoung Park, et al. ∙

research

∙ 09/29/2022

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications

Guaranteeing real-time and accurate object detection simultaneously is p...

0 Won Joon Yun, et al. ∙

research

∙ 09/26/2022

Scalable Quantum Convolutional Neural Networks

With the beginning of the noisy intermediate-scale quantum (NISQ) era, q...

0 Hankyul Baek, et al. ∙

research

∙ 09/02/2022

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks

One of the key topics in network security research is the autonomous COA...

0 Haemin Lee, et al. ∙

research

∙ 08/22/2022

Quantum Multi-Agent Meta Reinforcement Learning

Although quantum supremacy is yet to come, there has recently been an in...

0 Won Joon Yun, et al. ∙

research

∙ 07/20/2022

Slimmable Quantum Federated Learning

Quantum federated learning (QFL) has recently received increasing attent...

6 Won Joon Yun, et al. ∙

research

∙ 03/26/2022

SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks

Federated learning (FL) is a key enabler for efficient communication and...

4 Won Joon Yun, et al. ∙

research

∙ 03/20/2022

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

In recent years, quantum computing (QC) has been getting a lot of attent...

0 Won Joon Yun, et al. ∙

research

∙ 02/19/2022

Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

Although deep learning (DL) has already become a state-of-the-art techno...

0 Yunseok Kwak, et al. ∙

research

∙ 02/17/2022

Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification

Deep neural networks (NN) perform well in various tasks (e.g., computer ...

0 Youngkee Kim, et al. ∙

research

∙ 01/15/2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

CCTV-based surveillance using unmanned aerial vehicles (UAVs) is conside...

0 Won Joon Yun, et al. ∙

research

∙ 12/26/2021

Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles

Self-driving cars and autonomous driving research has been receiving con...

6 Won Joon Yun, et al. ∙

research

∙ 12/05/2021

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding

Mobile devices are indispensable sources of big data. Federated learning...

0 Hankyul Baek, et al. ∙

research

∙ 12/05/2021

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks

This paper aims to integrate two synergetic technologies, federated lear...

0 Hankyul Baek, et al. ∙

research

∙ 10/12/2021

Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution

In a decade, the adaptive quality control of video streaming and the sup...

0 Minseok Choi, et al. ∙

research

∙ 10/12/2021

Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles

This paper proposes a deep reinforcement learning-based video streaming ...

0 Won Joon Yun, et al. ∙

research

∙ 08/19/2021

Trends in Neural Architecture Search: Towards the Acceleration of Search

In modern deep learning research, finding optimal (or near optimal) neur...

0 Youngkee Kim, et al. ∙

research

∙ 08/16/2021

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

The emergence of quantum computing enables for researchers to apply quan...

0 Yunseok Kwak, et al. ∙

research

∙ 08/02/2021

Quantum Neural Networks: Concepts, Applications, and Challenges

Quantum deep learning is a research field for the use of quantum computi...

0 Yunseok Kwak, et al. ∙

research

∙ 05/22/2021

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication

In this article, we study the problem of air-to-ground ultra-reliable an...

0 Won Joon Yun, et al. ∙

research

∙ 05/21/2021

Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games

In real-time strategy (RTS) game artificial intelligence research, vario...

0 Won Joon Yun, et al. ∙

research

∙ 02/14/2021

Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations

This demo abstract presents the visualization of deep reinforcement lear...

0 Gusang Lee, et al. ∙

research

∙ 09/20/2020

3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js

This paper proposes a method of extracting an RGB-D image usingAzure Kin...

0 Won Joon Yun, et al. ∙

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