Evaluation of Student's 3D Modeling Capability Based on Model Completeness and Usage Pattern in K-12 Classrooms. - Yi-Chieh Wu; Wen-Hung Liao; Chen-Yu Liu; Tsai-Yen Li; Ming-Te Chi (ICALT, 2018)

An Automatic Text Annotation System to Improve Reading Comprehension of Chinese Ancient Texts. - Hsiao-Ting Tsai; Chih-Ming Chen 001; Chen-Yu Liu (IIAI-AAI, 2018)

Development and evaluation of an automatic text annotation system for supporting digital humanities research. - Chih-Ming Chen 001; Yung-Ting Chen; Chen-Yu Liu (Libr. Hi Tech, 2019)

A Trajectory Prediction Method Based on Social Forces, Scene Information and Motion Habit. - Xiu-Zhi Chen; Chen-Yu Liu; Chao-Wei Yu; Ko-Feng Lee; Yen-Lin Chen (ICCE, 2020)

Traffic Violation Detection via Depth and Gradient Angle Change. - Yan-Tsung Peng; Chen-Yu Liu; He-Hao Liao; Wei-Cheng Lien; Gee-Sern Jison Hsu (ICITE, 2022)

An Automated Toolchain for QUBO-based Optimization with Quantum-inspired Annealers. - Yun-Ting Zhang; Chin-Fu Nien; Chia-Wei Lin; Wen-Jui Chao; Chen-Yu Liu; Lien-Po Yu; Yuan-Ho Chen (ISOCC, 2023)

Reinforcement Learning Quantum Local Search. - Chen-Yu Liu; Hsi-Sheng Goan (QCE, 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)

A Fast and More Accurate Seed-and-Extension Density-Based Clustering Algorithm. - Ming-Hao Tung; Yi-Ping Phoebe Chen; Chen-Yu Liu; Chung-Shou Liao (IEEE Trans. Knowl. Data Eng., 2023)

Examining the implementation of academic vocabulary, lexical density, and speech rate features on OpenCourseWare and MOOC lectures. - Chen-Yu Liu (Interact. Learn. Environ., 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)

Federated Quantum-Train with Batched Parameter Generation. - Chen-Yu Liu; Samuel Yen-Chi Chen (ICTC, 2024)

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

Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer. - Chen-Yu Liu; Hsin-Yu Wang; Pei-Yen Liao; Ching-Jui Lai; Min-Hsiu Hsieh (IJCNN, 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-Train Long Short-Term Memory: Application on Flood Prediction Problem. - Chu-Hsuan Abraham Lin; Chen-Yu Liu; Kuan-Cheng Chen (QCE, 2024)

Training Classical Neural Networks by Quantum Machine Learning. - Chen-Yu Liu; En-Jui Kuo; Chu-Hsuan Abraham Lin; Sean Chen; Jason Gemsun Young; Yeong-Jar Chang; Min-Hsiu Hsieh (QCE, 2024)

Introduction to Quantum-Train Toolkit. - Chen-Yu Liu; Chu-Hsuan Abraham Lin; Wei-Jia Huang; Min-Hsiu Hsieh (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)

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)

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)

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-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)

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning. - Chen-Yu Liu; Chao-Han Huck Yang; Hsi-Sheng Goan; Min-Hsiu Hsieh (ICLR, 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)

Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration. - Yen-Jui Chang; Wei-Ting Wang; Chen-Yu Liu; Yun-Yuan Wang; Ching-Ray Chang (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)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. - Jun Qi 002; Chen-Yu Liu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Min-Hsiu Hsieh (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)