Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. - Hankyul Baek; Won Joon Yun; Soyi Jung; Jihong Park; Mingyue Ji; Joongheon Kim; Mehdi Bennis (CoRR, 2021)

Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms. - Hankyul Baek; Haemin Lee; Ji-Yeon Kim; Soyi Jung; Minseok Choi; Joongheon Kim (APWCS, 2022)

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. - Hankyul Baek; Won Joon Yun; Yunseok Kwak; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (INFOCOM, 2022)

Scalable Quantum Convolutional Neural Networks. - Hankyul Baek; Won Joon Yun; Joongheon Kim (CoRR, 2022)

3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. - Hankyul Baek; Won Joon Yun; Joongheon Kim (CoRR, 2022)

Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. - Won Joon Yun; Hankyul Baek; Joongheon Kim (CoRR, 2022)

Quantum Split Neural Network Learning using Cross-Channel Pooling. - Won Joon Yun; Hankyul Baek; Joongheon Kim (CoRR, 2022)

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. - Won Joon Yun; Jae Pyoung Kim; Hankyul Baek; Soyi Jung; Jihong Park; Mehdi Bennis; Joongheon Kim (CoRR, 2022)

FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). - Hankyul Baek; Won Joon Yun; Joongheon Kim (AAAI, 2023)

Logarithmic Dimension Reduction for Quantum Neural Networks. - Hankyul Baek; Soohyun Park; Joongheon Kim (CIKM, 2023)

Quantum Split Learning for Privacy-Preserving Information Management. - Soohyun Park; Hankyul Baek; Joongheon Kim (CIKM, 2023)

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. - Hankyul Baek; Yoo Jeong Ha; Minjae Yoo; Soyi Jung; Joongheon Kim (ICOIN, 2023)

Modern Trends in Quantum AI: Distributed and High-Definition Computation. - Jae Pyoung Kim; Won Joon Yun; Hankyul Baek; Joongheon Kim (ICOIN, 2023)

Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. - Hankyul Baek; Rhoan Lee; Soyi Jung; Joongheon Kim; Soohyun Park (IEEE Open J. Comput. Soc., 2023)

Stereoscopic scalable quantum convolutional neural networks. - Hankyul Baek; Won Joon Yun; Soohyun Park; Joongheon Kim (Neural Networks, 2023)

SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. - Won Joon Yun; Yunseok Kwak; Hankyul Baek; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (IEEE/ACM Trans. Netw., 2023)

Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications. - Hyunsoo Lee; Gyu Seon Kim; Minseok Choi; Hankyul Baek; Soohyun Park (IEEE Access, 2024)

Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE Access, 2024)

Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. - Hankyul Baek; Donghyeon Kim; Joongheon Kim (CoRR, 2024)

AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. - Soohyun Park; Hankyul Baek; Jung Won Yoon 005; Youn Kyu Lee; Joongheon Kim (Future Gener. Comput. Syst., 2024)

Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks. - Soyi Jung; Hankyul Baek; Joongheon Kim (IEEE Trans. Intell. Veh., 2024)

The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE Commun. Mag., 2024)

Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE/ACM Trans. Netw., 2024)

Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. - Emily Jimin Roh; Hankyul Baek; Donghyeon Kim; Joongheon Kim (IEEE Trans. Mob. Comput., 2025)

Quantum infidelity codistillation for fast and accurate distributed quantum machine learning. - Seungeun Oh; Jinhyuk Kim; Jihong Park; Hankyul Baek; Hyunsoo Lee; Joongheon Kim; Seong-Lyun Kim (J. Supercomput., 2025)