| Joint superposition coding and training for federated learning over multi-width neural networks H Baek, WJ Yun, Y Kwak, S Jung, M Ji, M Bennis, J Park, J Kim IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1729-1738, 2022 | 32 | 2022 |
| SlimFL: Federated learning with superposition coding over slimmable neural networks WJ Yun, Y Kwak, H Baek, S Jung, M Ji, M Bennis, J Park, J Kim IEEE/ACM Transactions on Networking 31 (6), 2499-2514, 2023 | 19 | 2023 |
| Stereoscopic scalable quantum convolutional neural networks H Baek, WJ Yun, S Park, J Kim Neural Networks 165, 860-867, 2023 | 18 | 2023 |
| Logarithmic dimension reduction for quantum neural networks H Baek, S Park, J Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 14 | 2023 |
| Projection valued measure-based quantum machine learning for multi-class classification WJ Yun, H Baek, J Kim arXiv preprint arXiv:2210.16731, 2022 | 13 | 2022 |
| Scalable quantum convolutional neural networks H Baek, WJ Yun, J Kim arXiv preprint arXiv:2209.12372, 2022 | 12 | 2022 |
| Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse S Park, H Baek, J Kim IEEE Access, 2024 | 5 | 2024 |
| FV-train: quantum convolutional neural network training with a finite number of qubits by extracting diverse features (student abstract) H Baek, WJ Yun, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16156 …, 2023 | 5 | 2023 |
| Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding WJ Yun, JP Kim, H Baek, S Jung, J Park, M Bennis, J Kim arXiv preprint arXiv:2212.01732, 2022 | 5 | 2022 |
| 3D scalable quantum convolutional neural networks for point cloud data processing in classification applications H Baek, WJ Yun, J Kim arXiv preprint arXiv:2210.09728, 2022 | 5 | 2022 |
| Quantum Split Learning for Privacy-Preserving Information Management S Park, H Baek, J Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Modern trends in quantum AI: Distributed and high-definition computation JP Kim, WJ Yun, H Baek, J Kim 2023 International conference on information networking (ICOIN), 750-754, 2023 | 4 | 2023 |
| Communication and energy efficient slimmable federated learning via superposition coding and successive decoding H Baek, WJ Yun, S Jung, J Park, M Ji, J Kim, M Bennis arXiv preprint arXiv:2112.03267, 2021 | 4 | 2021 |
| AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation S Park, H Baek, JW Yoon, YK Lee, J Kim Future Generation Computer Systems, 2024 | 3 | 2024 |
| Quantum split neural network learning using cross-channel pooling WJ Yun, H Baek, J Kim arXiv preprint arXiv:2211.06524, 2022 | 3 | 2022 |
| Fast quantum convolutional neural networks for low-complexity object detection in autonomous driving applications EJ Roh, H Baek, D Kim, J Kim IEEE Transactions on Mobile Computing, 2024 | 2 | 2024 |
| Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks S Jung, H Baek, J Kim IEEE Transactions on Intelligent Vehicles, 2024 | 2 | 2024 |
| AI-Native Network Algorithms and Architectures H Lee, S Park, H Baek, C Park, S Son, J Park, J Kim Fundamentals of 6G Communications and Networking, 573-584, 2023 | 2 | 2023 |
| Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications H Baek, D Kim, J Kim arXiv preprint arXiv:2401.01370, 2023 | 1 | 2023 |
| Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework H Baek, R Lee, S Jung, J Kim, S Park IEEE Open Journal of the Computer Society, 2023 | 1 | 2023 |
Joongheon KimKorea University Professor (Electrical Engineering) | USC PhD (Computer Science)Bestätigte E-Mail-Adresse bei korea.ac.kr