Turbo Coded OFDM for Reducing PAPR and Error Rates. - Yung-Chih Tsai; Shang-Kang Deng; Kuan-Cheng Chen; Mao-Chao Lin (IEEE Trans. Wirel. Commun., 2008)

Modeling and analysis of IPM synchronous motor under six step voltage control by fourier series. - Ming-Shi Huang; Kuan-Cheng Chen; Chin-Hao Chen (IECON, 2015)

Reduce the cogging torque of Axial Flux Permanent Magnet synchronous motor for light electric vehicle applications. - Ming-Shi Huang; Po-Ching Chen; Yuh-Shyuan Huang; Kuan-Cheng Chen (ICIT, 2016)

An Innovative Constant Voltage Control Method of PMSM-Type ISG Under Wide Engine Speed Range for Scooter With Idling Stop. - Ming-Shi Huang; Kuan-Cheng Chen; Tse-Kai Chen; Yu-Chiang Liang; Guan-You Pan (IEEE Access, 2019)

Thermal-aware optical-electrical routing codesign for on-chip signal communications. - Yu-Sheng Lu; Kuan-Cheng Chen; Yu-Ling Hsu; Yao-Wen Chang (DAC, 2022)

Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs. - Kuan-Cheng Chen; Yan-Lin Chen; Yu-Sheng Lu; Yao-Wen Chang (DAC, 2023)

Security-aware Physical Design against Trojan Insertion, Frontside Probing, and Fault Injection Attacks. - Jhih-Wei Hsu; Kuan-Cheng Chen; Yan-Syuan Chen; Yu-Hsiang Lo; Yao-Wen Chang (ISPD, 2023)

Short-Depth Circuits and Error Mitigation for Large-Scale GHZ-State Preparation, and Benchmarking on IBM's 127-Qubit System. - Kuan-Cheng Chen (QCE, 2023)

Quantum-Error-Mitigated Detectable Byzantine Agreement with Dynamical Decoupling for Distributed Quantum Computing. - Matthew Prest; Kuan-Cheng Chen (CoRR, 2023)

Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration. - Kuan-Cheng Chen; Xiaotian Xu; Henry Makhanov; Hui-Hsuan Chung; Chen-Yu Liu (CoRR, 2023)

Quantum-Enhanced Support Vector Machine for Large-Scale Multi-class Stellar Classification. - Kuan-Cheng Chen; Xiaotian Xu; Henry Makhanov; Hui-Hsuan Chung; Chen-Yu Liu (ICIC (10), 2024)

Learning Quantum Phase Estimation by Variational Quantum Circuits. - Chen-Yu Liu; Kuan-Cheng Chen; Chu-Hsuan Abraham Lin (IJCNN, 2024)

Generalised Circuit Partitioning for Distributed Quantum Computing. - Felix Burt; Kuan-Cheng Chen; Kin K. Leung (QCE, 2024)

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 (QCE, 2024)

Quantum Computing for Climate Resilience and Sustainability Challenges. - Kin Tung Michael Ho; Kuan-Cheng Chen; Lily Lee; Felix Burt; Shang Yu; Po-Heng Lee (QCE, 2024)

Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem. - Chu-Hsuan Abraham Lin; Chen-Yu Liu; Kuan-Cheng Chen (QCE, 2024)

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 (QCE, 2024)

HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers. - Xiaotian Xu; Kuan-Cheng Chen; Robert Wille (QCE, 2024)

Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations. - Kuan-Cheng Chen; Xiaoren Li; Xiaotian Xu; Yun-Yuan Wang; Chen-Yu Liu (CoRR, 2024)

cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK. - Kuan-Cheng Chen; Tai-Yue Li; Yun-Yuan Wang; Simon See; Chun-Chieh Wang; Robert Wille; Nan-Yow Chen; An-Cheng Yang; Chun-Yu Lin 003 (CoRR, 2024)

Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware. - Kuan-Cheng Chen; Xiaotian Xu; Felix Burt; Chen-Yu Liu (CoRR, 2024)

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 Li; Cheng-Yu Chen (CoRR, 2024)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning. - Kuan-Cheng Chen; Samuel Yen-Chi Chen; Chen-Yu Liu; Kin K. Leung (CoRR, 2024)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting. - Yu-Chao Hsu; Nan-Yow Chen; Tai-Yu Li; Po-Heng Lee; Kuan-Cheng Chen (CoRR, 2024)

Consensus-based Distributed Quantum Kernel Learning for Speech Recognition. - Kuan-Cheng Chen; Wenxuan Ma 007; Xiaotian Xu (ICASSP Workshops, 2025)

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 (ICASSP Workshops, 2025)

Quantum Kernel-Based Long Short-term Memory. - Yu-Chao Hsu; Tai-Yu Li; Kuan-Cheng Chen (ICASSP Workshops, 2025)

Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection. - Chu-Hsuan Abraham Lin; Chen-Yu Liu; Samuel Yen-Chi Chen; Kuan-Cheng Chen (ICASSP Workshops, 2025)

Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz. - Chen-Yu Liu; Chu-Hsuan Abraham Lin; Kuan-Cheng Chen (ICASSP, 2025)

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 (ISCAS, 2025)

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 (IWCMC, 2025)

Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks. - Kuan-Cheng Chen; Tai-Yue Li; Yun-Yuan Wang; Simon See; Chun-Chieh Wang; Robert Wille; Nan-Yow Chen; An-Cheng Yang; Chun-Yu Lin 003 (Mach. Learn. Sci. Technol., 2025)

Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment. - Wenxuan Ma 007; Kuan-Cheng Chen; Shang Yu; Mengxiang Liu; Ruilong Deng (CoRR, 2025)

Learning to Learn with Quantum Optimization via Quantum Neural Networks. - Kuan-Cheng Chen; Hiromichi Matsuyama; Wei-Hao Huang (CoRR, 2025)

Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing. - Kuan-Cheng Chen; Chen-Yu Liu; Yu Shang; Felix Burt; Kin K. Leung (CoRR, 2025)

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 (CoRR, 2025)

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 (CoRR, 2025)

Special-Unitary Parameterization for Trainable Variational Quantum Circuits. - Kuan-Cheng Chen; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Chen-Yu Liu; Kin K. Leung (CoRR, 2025)

Entanglement-Efficient Distribution of Quantum Circuits over Large-Scale Quantum Networks. - Felix Burt; Kuan-Cheng Chen; Kin K. Leung (CoRR, 2025)