Hankyul Baek

According to our database, Hankyul Baek authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Hankyul Baek, Donghyeon Kim, Joongheon Kim

CoRR, 2024

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., December, 2023

Stereoscopic scalable quantum convolutional neural networks.

Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim

Neural Networks, August, 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

Modern Trends in Quantum AI: Distributed and High-Definition Computation.

Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim

Proceedings of the International Conference on Information Networking, 2023

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception.

Hankyul Baek, Yoo Jeong Ha, Minjae Yoo, Soyi Jung, Joongheon Kim

Proceedings of the International Conference on Information Networking, 2023

Quantum Split Learning for Privacy-Preserving Information Management.

Soohyun Park, Hankyul Baek, Joongheon Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Logarithmic Dimension Reduction for Quantum Neural Networks.

Hankyul Baek, Soohyun Park, Joongheon Kim

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).

Hankyul Baek, Won Joon Yun, Joongheon Kim

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Quantum Split Neural Network Learning using Cross-Channel Pooling.

Won Joon Yun, Hankyul Baek, Joongheon Kim

CoRR, 2022

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

Won Joon Yun, Hankyul Baek, 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

Scalable Quantum Convolutional Neural Networks.

Hankyul Baek, Won Joon Yun, Joongheon Kim

CoRR, 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

Proceedings of the IEEE INFOCOM 2022, 2022

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

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.

Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis

CoRR, 2021