| 2025 | GLOBECOM | Quantum Machine Learning for UAV Swarm Intrusion Detection. | Kuan-Cheng Chen, Samuel Yen-Chi Chen, Tai-Yue Li, Chen-Yu Liu, Kin K. Leung |
| 2025 | ICASSP | Consensus-based Distributed Quantum Kernel Learning for Speech Recognition. | Kuan-Cheng Chen, Wenxuan Ma, Xiaotian Xu |
| 2025 | ICASSP | CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data. | Kuan-Cheng Chen, Yi-Tien Li, Tai-Yu Li, Chen-Yu Liu, Po-Heng Henry Lee, Cheng-Yu Chen |
| 2025 | ICASSP | Quantum Kernel-Based Long Short-term Memory. | Yu-Chao Hsu, Tai-Yu Li, Kuan-Cheng Chen |
| 2025 | ICASSP | Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection. | Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen |
| 2025 | ICASSP | Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz. | Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen |
| 2025 | IJCNN | Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. | Samuel Yen-Chi Chen, Kuan-Cheng Chen |
| 2025 | INFOCOM | Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal. | Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang |
| 2025 | ISCAS | Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems. | Kuan-Cheng Chen, Felix Burt, Shang Yu, Chen-Yu Liu, Min-Hsiu Hsieh, Kin K. Leung |
| 2025 | IWCMC | Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers. | Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung |
| 2025 | QCE | Entanglement-Efficient Distribution of Quantum Circuits Over Large-Scale Quantum Networks. | Felix Burt, Kuan-Cheng Chen, Kin K. Leung |
| 2025 | QCE | Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation. | Samuel Yen-Chi Chen, Chen-Yu Liu, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang, Wei-Hao Huang |
| 2025 | QCE | Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing. | Kuan-Cheng Chen, Chen-Yu Liu, Yu Shang, Felix Burt, Kin K. Leung |
| 2025 | QCE | Learning to Learn With Quantum Optimization Via Quantum Neural Networks. | Kuan-Cheng Chen, Hiromichi Matsuyama, Wei-Hao Huang |
| 2025 | QCE | Quantum Adaptive Excitation Network with Variational Quantum Circuits for Channel Attention. | Yu-Chao Hsu, Kuan-Cheng Chen, Tai-Yue Li, Nan-Yow Chen |
| 2025 | QCE | Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting. | Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen, Samuel Yen-Chi Chen, Wei-Hao Huang, Wei-Jia Huang, Yen-Jui Chang |
| 2025 | QCE | Generative Modeling of Measurement Data for Quantum Parameter Adaptation. | Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Wei-Hao Huang, Yen-Jui Chang |
| 2025 | QCE | RDQKL: Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment. | Wenxuan Ma, Kuan-Cheng Chen, Shang Yu, Mengxiang Liu, Ruilong Deng |
| 2024 | IJCNN | Learning Quantum Phase Estimation by Variational Quantum Circuits. | Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin |
| 2024 | QCE | Generalised Circuit Partitioning for Distributed Quantum Computing. | Felix Burt, Kuan-Cheng Chen, Kin K. Leung |
| 2024 | QCE | Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-Term Quantum Hardware. | Kuan-Cheng Chen, Xiaotian Xu, Felix Burt, Chen-Yu Liu, Shang Yu, Kin K. Leung |
| 2024 | QCE | Quantum Computing for Climate Resilience and Sustainability Challenges. | Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee, Felix Burt, Shang Yu, Po-Heng Lee |
| 2024 | QCE | Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem. | Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen |
| 2024 | QCE | QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train. | Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang, Kuan-Cheng Chen, Min-Hsiu Hsieh |
| 2024 | QCE | HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers. | Xiaotian Xu, Kuan-Cheng Chen, Robert Wille |
| 2023 | DAC | Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs. | Kuan-Cheng Chen, Yan-Lin Chen, Yu-Sheng Lu, Yao-Wen Chang |
| 2023 | QCE | Short-Depth Circuits and Error Mitigation for Large-Scale GHZ-State Preparation, and Benchmarking on IBM's 127-Qubit System. | Kuan-Cheng Chen |
| 2022 | DAC | Thermal-aware optical-electrical routing codesign for on-chip signal communications. | Yu-Sheng Lu, Kuan-Cheng Chen, Yu-Ling Hsu, Yao-Wen Chang |
| 2015 | IECON | Modeling and analysis of IPM synchronous motor under six step voltage control by fourier series. | Ming-Shi Huang, Kuan-Cheng Chen, Chin-Hao Chen |