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ORCIDHankyul Baek
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2020 – today
- 2024
[j6]Soohyun Park
, Hankyul Baek, Joongheon Kim:
Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse. IEEE Access 12: 54732-54744 (2024)- [j5]Hyunsoo Lee, Gyu Seon Kim, Minseok Choi, Hankyul Baek, Soohyun Park:
Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications. IEEE Access 12: 108504-108514 (2024) - [j4]Soohyun Park, Hankyul Baek, Jung Won Yoon, Youn Kyu Lee, Joongheon Kim:
AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. Future Gener. Comput. Syst. 159: 545-556 (2024) - [i10]Hankyul Baek, Donghyeon Kim, Joongheon Kim:
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. CoRR abs/2401.01370 (2024) - 2023
- [j3]Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim:
Stereoscopic scalable quantum convolutional neural networks. Neural Networks 165: 860-867 (2023) - [j2]Hankyul Baek, Rhoan Lee, Soyi Jung, Joongheon Kim, Soohyun Park:
Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. IEEE Open J. Comput. Soc. 4: 243-252 (2023) - [j1]Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Trans. Netw. 31(6): 2499-2514 (2023) - [c7]Hankyul Baek, Won Joon Yun, Joongheon Kim:
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). AAAI 2023: 16156-16157 - [c6]Hankyul Baek, Soohyun Park, Joongheon Kim:
Logarithmic Dimension Reduction for Quantum Neural Networks. CIKM 2023: 3738-3742 - [c5]Soohyun Park, Hankyul Baek, Joongheon Kim:
Quantum Split Learning for Privacy-Preserving Information Management. CIKM 2023: 4239-4243 - [c4]Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim:
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. ICOIN 2023: 746-749 - [c3]Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim:
Modern Trends in Quantum AI: Distributed and High-Definition Computation. ICOIN 2023: 750-754 - 2022
- [c2]Hankyul Baek, Haemin Lee, Ji-Yeon Kim, Soyi Jung, Minseok Choi, Joongheon Kim:
Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms. APWCS 2022: 171-175 - [c1]Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM 2022: 1729-1738 - [i9]Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks. CoRR abs/2203.14094 (2022) - [i8]Hankyul Baek, Won Joon Yun, Joongheon Kim:
Scalable Quantum Convolutional Neural Networks. CoRR abs/2209.12372 (2022) - [i7]Hankyul Baek, Won Joon Yun, Joongheon Kim:
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. CoRR abs/2210.09728 (2022) - [i6]Won Joon Yun, Hankyul Baek, Joongheon Kim:
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. CoRR abs/2210.16731 (2022) - [i5]Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim:
Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. CoRR abs/2211.03502 (2022) - [i4]Won Joon Yun, Hankyul Baek, Joongheon Kim:
Quantum Split Neural Network Learning using Cross-Channel Pooling. CoRR abs/2211.06524 (2022) - [i3]Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. CoRR abs/2212.01732 (2022) - 2021
- [i2]Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. CoRR abs/2112.02543 (2021) - [i1]Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis:
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. CoRR abs/2112.03267 (2021)
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