Kuan-Cheng Chen

58 papers A* 2B 3C 2Misc 8Journal 35Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multilevel Framework for Partitioning Quantum Circuits.
Quantum
Felix Burt, Kuan-Cheng Chen, Kin K. Leung
2026 J jnl
Adaptive Resource Orchestration for Distributed Quantum Computing Systems.
IEEE Internet Comput.
Kuan-Cheng Chen, Felix Burt, Nitish K. Panigrahy, Kin K. Leung
2026 J jnl
Consensus Protocols for Entanglement-Aware Scheduling in Distributed Quantum Neural Networks.
CoRR
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Mahdi Chehimi, Felix Burt, Kin K. Leung
2026 J jnl
Photonic Quantum-Enhanced Knowledge Distillation.
CoRR
Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Yen Jui Chang, Wei-Hao Huang, Felix Burt, Esperanza Cuenca Gomez, Zohim Chandani, William R. Clements, Ian A. Walmsley, Kin K. Leung
2026 J jnl
Recursive QAOA for Interference-Aware Resource Allocation in Wireless Networks.
CoRR
Kuan-Cheng Chen, Hiromichi Matsuyama, Wei-Hao Huang, Yu Yamashiro
2026 J jnl
Towards Exponential Quantum Improvements in Solving Cardinality-Constrained Binary Optimization.
CoRR
Haomu Yuan, Hanqing Wu, Kuan-Cheng Chen, Bin Cheng, Crispin H. W. Barnes
2025 J jnl
Adaptive Resource Orchestration for Distributed Quantum Computing Systems.
CoRR
Kuan-Cheng Chen, Felix Burt, Nitish K. Panigrahy, Kin K. Leung
2025 — conf
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data.
ICASSP Workshops
Kuan-Cheng Chen, Yi-Tien Li, Tai-Yu Li, Chen-Yu Liu, Po-Heng Henry Lee, Cheng-Yu Chen
2025 — conf
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition.
ICASSP Workshops
Kuan-Cheng Chen, Wenxuan Ma, Xiaotian Xu
2025 J jnl
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation.
CoRR
Samuel Yen-Chi Chen, Chen-Yu Liu, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang, Wei-Hao Huang
2025 J jnl
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing.
CoRR
Kuan-Cheng Chen, Chen-Yu Liu, Yu Shang, Felix Burt, Kin K. Leung
2025 J jnl
Entanglement-Efficient Distribution of Quantum Circuits over Large-Scale Quantum Networks.
CoRR
Felix Burt, Kuan-Cheng Chen, Kin K. Leung
2025 J jnl
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series.
CoRR
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2025 — conf
Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal.
INFOCOM WKSHPS
Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang
2025 J jnl
Learning to Learn with Quantum Optimization via Quantum Neural Networks.
CoRR
Kuan-Cheng Chen, Hiromichi Matsuyama, Wei-Hao Huang
2025 B conf
Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision.
IJCNN
Samuel Yen-Chi Chen, Kuan-Cheng Chen
2025 — conf
Quantum Kernel-Based Long Short-term Memory.
ICASSP Workshops
Yu-Chao Hsu, Tai-Yu Li, Kuan-Cheng Chen
2025 J jnl
Quantum Machine Learning for UAV Swarm Intrusion Detection.
CoRR
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Tai-Yue Li, Chen-Yu Liu, Kin K. Leung
2025 J jnl
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting.
CoRR
Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen, Samuel Yen-Chi Chen, Wei-Hao Huang, Wei-Jia Huang, Yen-Jui Chang
2025 Misc conf
Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz.
ICASSP
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen
2025 — conf
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection.
ICASSP Workshops
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen
2025 C conf
Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems.
ISCAS
Kuan-Cheng Chen, Felix Burt, Shang Yu, Chen-Yu Liu, Min-Hsiu Hsieh, Kin K. Leung
2025 J jnl
Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems.
CoRR
Kuan-Cheng Chen, Felix Burt, Shang Yu, Chen-Yu Liu, Min-Hsiu Hsieh, Kin K. Leung
2025 J jnl
Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment.
CoRR
Wenxuan Ma, Kuan-Cheng Chen, Shang Yu, Mengxiang Liu, Ruilong Deng
2025 J jnl
Special-Unitary Parameterization for Trainable Variational Quantum Circuits.
CoRR
Kuan-Cheng Chen, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2025 B conf
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers.
IWCMC
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2025 J jnl
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers.
CoRR
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2025 J jnl
Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks.
Mach. Learn. Sci. Technol.
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
2025 J jnl
You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models.
CoRR
Chen-Yu Liu, Leonardo Placidi, Kuan-Cheng Chen, Samuel Yen-Chi Chen, Gabriel Matos
2024 J jnl
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data.
CoRR
Kuan-Cheng Chen, Yi-Tien Li, Tai-Yu Li, Chen-Yu Liu, Po-Heng Li, Cheng-Yu Chen
2024 J jnl
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition.
CoRR
Kuan-Cheng Chen, Wenxuan Ma, Xiaotian Xu
2024 Misc conf
Generalised Circuit Partitioning for Distributed Quantum Computing.
QCE
Felix Burt, Kuan-Cheng Chen, Kin K. Leung
2024 Misc conf
HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers.
QCE
Xiaotian Xu, Kuan-Cheng Chen, Robert Wille
2024 J jnl
HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers.
CoRR
Xiaotian Xu, Kuan-Cheng Chen, Robert Wille
2024 B conf
Learning Quantum Phase Estimation by Variational Quantum Circuits.
IJCNN
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin
2024 J jnl
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations.
CoRR
Kuan-Cheng Chen, Xiaoren Li, Xiaotian Xu, Yun-Yuan Wang, Chen-Yu Liu
2024 Misc conf
Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-Term Quantum Hardware.
QCE
Kuan-Cheng Chen, Xiaotian Xu, Felix Burt, Chen-Yu Liu, Shang Yu, Kin K. Leung
2024 J jnl
Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware.
CoRR
Kuan-Cheng Chen, Xiaotian Xu, Felix Burt, Chen-Yu Liu
2024 Misc conf
QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train.
QCE
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang, Kuan-Cheng Chen, Min-Hsiu Hsieh
2024 Misc conf
Quantum Computing for Climate Resilience and Sustainability Challenges.
QCE
Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee, Felix Burt, Shang Yu, Po-Heng Lee
2024 J jnl
Quantum Computing for Climate Resilience and Sustainability Challenges.
CoRR
Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee, Felix Burt, Shang Yu, Po-Heng Lee
2024 J jnl
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting.
CoRR
Yu-Chao Hsu, Nan-Yow Chen, Tai-Yu Li, Po-Heng Lee, Kuan-Cheng Chen
2024 J jnl
Quantum Kernel-Based Long Short-term Memory.
CoRR
Yu-Chao Hsu, Tai-Yu Li, Kuan-Cheng Chen
2024 — conf
Quantum-Enhanced Support Vector Machine for Large-Scale Multi-class Stellar Classification.
ICIC (10)
Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu Liu
2024 Misc conf
Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem.
QCE
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen
2024 J jnl
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning.
CoRR
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung
2024 J jnl
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection.
CoRR
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen
2024 J jnl
cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK.
CoRR
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
2023 J jnl
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration.
CoRR
Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu Liu
2023 J jnl
Quantum-Error-Mitigated Detectable Byzantine Agreement with Dynamical Decoupling for Distributed Quantum Computing.
CoRR
Matthew Prest, Kuan-Cheng Chen
2023 — conf
Security-aware Physical Design against Trojan Insertion, Frontside Probing, and Fault Injection Attacks.
ISPD
Jhih-Wei Hsu, Kuan-Cheng Chen, Yan-Syuan Chen, Yu-Hsiang Lo, Yao-Wen Chang
2023 Misc conf
Short-Depth Circuits and Error Mitigation for Large-Scale GHZ-State Preparation, and Benchmarking on IBM's 127-Qubit System.
QCE
Kuan-Cheng Chen
2023 A* conf
Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs.
DAC
Kuan-Cheng Chen, Yan-Lin Chen, Yu-Sheng Lu, Yao-Wen Chang
2022 A* conf
Thermal-aware optical-electrical routing codesign for on-chip signal communications.
DAC
Yu-Sheng Lu, Kuan-Cheng Chen, Yu-Ling Hsu, Yao-Wen Chang
2019 J jnl
An Innovative Constant Voltage Control Method of PMSM-Type ISG Under Wide Engine Speed Range for Scooter With Idling Stop.
IEEE Access
Ming-Shi Huang, Kuan-Cheng Chen, Tse-Kai Chen, Yu-Chiang Liang, Guan-You Pan
2016 — conf
Reduce the cogging torque of Axial Flux Permanent Magnet synchronous motor for light electric vehicle applications.
ICIT
Ming-Shi Huang, Po-Ching Chen, Yuh-Shyuan Huang, Kuan-Cheng Chen
2015 C conf
Modeling and analysis of IPM synchronous motor under six step voltage control by fourier series.
IECON
Ming-Shi Huang, Kuan-Cheng Chen, Chin-Hao Chen
2008 J jnl
Turbo Coded OFDM for Reducing PAPR and Error Rates.
IEEE Trans. Wirel. Commun.
Yung-Chih Tsai, Shang-Kang Deng, Kuan-Cheng Chen, Mao-Chao Lin