Chen-Yu Liu

49 papers A* 1B 4C 4Misc 7Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
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
Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem.
CoRR
Ryo Sakai, Chen-Yu Liu
2026 J jnl
Toward Generative Quantum Utility via Correlation-Complexity Map.
CoRR
Chen-Yu Liu, Leonardo Placidi, Eric Brunner, Enrico Rinaldi
2025 A* conf
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning.
ICLR
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
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 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
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
Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation.
CoRR
Jun Qi, Chen-Yu Liu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Min-Hsiu Hsieh
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 Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration.
CoRR
Yen-Jui Chang, Wei-Ting Wang, Chen-Yu Liu, Yun-Yuan Wang, Ching-Ray Chang
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 J jnl
Quantum-Train: rethinking hybrid quantum-classical machine learning in the model compression perspective.
Quantum Mach. Intell.
Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, Jason Gemsun Young, Yeong-Jar Chang, Min-Hsiu Hsieh, Hsi-Sheng Goan
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
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
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 — conf
Federated Quantum-Train with Batched Parameter Generation.
ICTC
Chen-Yu Liu, Samuel Yen-Chi Chen
2024 B conf
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer.
IJCNN
Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
2024 Misc conf
Introduction to Quantum-Train Toolkit.
QCE
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Wei-Jia Huang, Min-Hsiu Hsieh
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 — 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 Misc conf
Training Classical Neural Networks by Quantum Machine Learning.
QCE
Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, Sean Chen, Jason Gemsun Young, Yeong-Jar Chang, Min-Hsiu Hsieh
2023 J jnl
A Fast and More Accurate Seed-and-Extension Density-Based Clustering Algorithm.
IEEE Trans. Knowl. Data Eng.
Ming-Hao Tung, Yi-Ping Phoebe Chen, Chen-Yu Liu, Chung-Shou Liao
2023 — conf
An Automated Toolchain for QUBO-based Optimization with Quantum-inspired Annealers.
ISOCC
Yun-Ting Zhang, Chin-Fu Nien, Chia-Wei Lin, Wen-Jui Chao, Chen-Yu Liu, Lien-Po Yu, Yuan-Ho Chen
2023 J jnl
Examining the implementation of academic vocabulary, lexical density, and speech rate features on OpenCourseWare and MOOC lectures.
Interact. Learn. Environ.
Chen-Yu Liu
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 Misc conf
Reinforcement Learning Quantum Local Search.
QCE
Chen-Yu Liu, Hsi-Sheng Goan
2022 J jnl
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer.
CoRR
Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
2022 — conf
Traffic Violation Detection via Depth and Gradient Angle Change.
ICITE
Yan-Tsung Peng, Chen-Yu Liu, He-Hao Liao, Wei-Cheng Lien, Gee-Sern Jison Hsu
2020 C conf
A Trajectory Prediction Method Based on Social Forces, Scene Information and Motion Habit.
ICCE
Xiu-Zhi Chen, Chen-Yu Liu, Chao-Wei Yu, Ko-Feng Lee, Yen-Lin Chen
2019 J jnl
Development and evaluation of an automatic text annotation system for supporting digital humanities research.
Libr. Hi Tech
Chih-Ming Chen, Yung-Ting Chen, Chen-Yu Liu
2018 — conf
An Automatic Text Annotation System to Improve Reading Comprehension of Chinese Ancient Texts.
IIAI-AAI
Hsiao-Ting Tsai, Chih-Ming Chen, Chen-Yu Liu
2018 B conf
Evaluation of Student's 3D Modeling Capability Based on Model Completeness and Usage Pattern in K-12 Classrooms.
ICALT
Yi-Chieh Wu, Wen-Hung Liao, Chen-Yu Liu, Tsai-Yen Li, Ming-Te Chi
2011 C conf
Spares Consumption Prediction Based on BP Neural Network.
CIS
Feng Guo, Chen-Yu Liu, Su-qin Zhang, Bin Zhou
2011 C conf
Spares Consumption Quota Model Based on BP Neural Network.
CIS
Chen-Yu Liu, Feng Guo, Yuan-lei Li, Su-qin Zhang