Hankyul Baek

Orcid: 0009-0007-4670-6817

According to our database1, Hankyul Baek authored at least 23 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
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9
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications.
IEEE Trans. Mob. Comput., February, 2025

2024
Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems.
IEEE/ACM Trans. Netw., December, 2024

The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces.
IEEE Commun. Mag., December, 2024

AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation.
Future Gener. Comput. Syst., 2024

Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications.
CoRR, 2024

Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse.
IEEE Access, 2024

Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications.
IEEE Access, 2024

2023
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks.
IEEE/ACM Trans. Netw., December, 2023

Stereoscopic scalable quantum convolutional neural networks.
Neural Networks, August, 2023

Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework.
IEEE Open J. Comput. Soc., 2023

Modern Trends in Quantum AI: Distributed and High-Definition Computation.
Proceedings of the International Conference on Information Networking, 2023

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception.
Proceedings of the International Conference on Information Networking, 2023

Quantum Split Learning for Privacy-Preserving Information Management.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Logarithmic Dimension Reduction for Quantum Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding.
CoRR, 2022

Quantum Split Neural Network Learning using Cross-Channel Pooling.
CoRR, 2022

Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification.
CoRR, 2022

3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications.
CoRR, 2022

Scalable Quantum Convolutional Neural Networks.
CoRR, 2022

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022

2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding.
CoRR, 2021


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