Variational Quantum Circuits and Deep Reinforcement Learning. - Samuel Yen-Chi Chen; Hsi-Sheng Goan (CoRR, 2019)

Explainable Deep Convolutional Candlestick Learner. - Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai; Chih-Shiang Shur (SEKE, 2020)

Variational Quantum Circuits for Deep Reinforcement Learning. - Samuel Yen-Chi Chen; Chao-Han Huck Yang; Jun Qi 002; Pin-Yu Chen; Xiaoli Ma; Hsi-Sheng Goan (IEEE Access, 2020)

Data Augmentation for Deep Candlestick Learner. - Chia-Ying Tsao; Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai (CoRR, 2020)

Adversarial Robustness of Deep Convolutional Candlestick Learner. - Jun-Hao Chen; Samuel Yen-Chi Chen; Yun-Cheng Tsai; Chih-Shiang Shur (CoRR, 2020)

Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. - Samuel Yen-Chi Chen; Chih-Min Huang; Chia-Wei Hsing; Ying-Jer Kao (CoRR, 2020)

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. - Samuel Yen-Chi Chen; Tzu-Chieh Wei; Chao Zhang 063; Haiwang Yu; Shinjae Yoo (CoRR, 2020)

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. - Chao-Han Huck Yang; Jun Qi 002; Samuel Yen-Chi Chen; Pin-Yu Chen; Sabato Marco Siniscalchi; Xiaoli Ma; Chin-Hui Lee 001 (ICASSP, 2021)

Hybrid Quantum-Classical Graph Convolutional Network. - Samuel Yen-Chi Chen; Tzu-Chieh Wei; Chao Zhang 063; Haiwang Yu; Shinjae Yoo (CoRR, 2021)

Quantum machine learning with differential privacy. - William M. Watkins; Samuel Yen-Chi Chen; Shinjae Yoo (CoRR, 2021)

Quantum Architecture Search via Deep Reinforcement Learning. - En-Jui Kuo; Yao-Lung L. Fang; Samuel Yen-Chi Chen (CoRR, 2021)

Quantum Architecture Search via Continual Reinforcement Learning. - Esther Ye; Samuel Yen-Chi Chen (CoRR, 2021)

Financial Vision Based Differential Privacy Applications. - Jun-Hao Chen; Yi-Jen Wang; Yun-Cheng Tsai; Samuel Yen-Chi Chen (CoRR, 2021)

Federated Quantum Machine Learning. - Samuel Yen-Chi Chen; Shinjae Yoo (Entropy, 2021)

An end-to-end trainable hybrid classical-quantum classifier. - Samuel Yen-Chi Chen; Chih-Min Huang; Chia-Wei Hsing; Ying-Jer Kao (Mach. Learn. Sci. Technol., 2021)

Quantum Long Short-Term Memory. - Samuel Yen-Chi Chen; Shinjae Yoo; Yao-Lung L. Fang (ICASSP, 2022)

The Dawn of Quantum Natural Language Processing. - Riccardo Di Sipio; Jia-Hong Huang; Samuel Yen-Chi Chen; Stefano Mangini; Marcel Worring (ICASSP, 2022)

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. - Chao-Han Huck Yang; Jun Qi 002; Samuel Yen-Chi Chen; Yu Tsao 001; Pin-Yu Chen (ICASSP, 2022)

Explainable Digital Currency Candlestick Pattern AI Learner. - Jun-Hao Chen; Cheng-Han Wu; Yun-Cheng Tsai; Samuel Yen-Chi Chen (KST, 2022)

Financial Vision Based Reinforcement Learning Trading Strategy. - Yun-Cheng Tsai; Fu-Min Szu; Jun-Hao Chen; Samuel Yen-Chi Chen (CoRR, 2022)

Reservoir Computing via Quantum Recurrent Neural Networks. - Samuel Yen-Chi Chen; Daniel Fry; Amol Deshmukh; Vladimir Rastunkov; Charlee Stefanski (CoRR, 2022)

Decoding surface codes with deep reinforcement learning and probabilistic policy reuse. - Elisha Siddiqui Matekole; Esther Ye; Ramya Iyer; Samuel Yen-Chi Chen (CoRR, 2022)

Variational quantum reinforcement learning via evolutionary optimization. - Samuel Yen-Chi Chen; Chih-Min Huang; Chia-Wei Hsing; Hsi-Sheng Goan; Ying-Jer Kao (Mach. Learn. Sci. Technol., 2022)

Quantum Deep Recurrent Reinforcement Learning. - Samuel Yen-Chi Chen (ICASSP, 2023)

Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. - Wei Chen 043; Yihui Ren 001; Ai Kagawa; Matthew R. Carbone; Samuel Yen-Chi Chen; Xiaohui Qu; Shinjae Yoo; Austin Clyde; Arvind Ramanathan; Rick L. Stevens; Hubertus Van Dam; Deyu Lu (ICMLA, 2023)

Asynchronous training of quantum reinforcement learning. - Samuel Yen-Chi Chen (INNS DLIA@IJCNN, 2023)

Quantum Deep Q-Learning with Distributed Prioritized Experience Replay. - Samuel Yen-Chi Chen (QCE, 2023)

Hands-On Introduction to Quantum Machine Learning. - Samuel Yen-Chi Chen; Joongheon Kim (CIKM, 2024)

Hands-On Introduction to Quantum Machine Learning. - Muhammad Ismail; Mohamed Shaban; Samuel Yen-Chi Chen (FLAIRS, 2024)

Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. - Samuel Yen-Chi Chen (ICASSP, 2024)

Federated Quantum Machine Learning with Differential Privacy. - Rod Rofougaran; Shinjae Yoo; Huan-Hsin Tseng; Samuel Yen-Chi Chen (ICASSP, 2024)

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. - William M. Watkins; Heehwan Wang; Sangyoon Bae; Huan-Hsin Tseng; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP, 2024)

Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. - Travis Lee; Muhammad Ismail; Samuel Yen-Chi Chen (ICMLA, 2024)

An Introduction to Quantum Reinforcement Learning (QRL). - Samuel Yen-Chi Chen (ICTC, 2024)

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

Learning to Program Variational Quantum Circuits with Fast Weights. - Samuel Yen-Chi Chen (IJCNN, 2024)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. - Samuel Yen-Chi Chen (QCE, 2024)

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. - Xin Dai; Tzu-Chieh Wei; Shinjae Yoo; Samuel Yen-Chi Chen (QCE, 2024)

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. - Xuan-Bac Nguyen; Hoang-Quan Nguyen; Samuel Yen-Chi Chen; Samee U. Khan; Hugh Churchill; Khoa Luu (QCE, 2024)

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. - Junghoon Park; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo; Huan-Hsin Tseng (QCE, 2024)

PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. - Priyabrata Senapati; Samuel Yen-Chi Chen; Bo Fang 002; Tushar M. Athawale; Ang Li 006; Weiwen Jiang; Cheng Chang Lu; Qiang Guan (QCE, 2024)

QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding. - Chi-Sheng Chen; Samuel Yen-Chi Chen; Aidan Hung-Wen Tsai; Chun-Shu Wei (SiPS, 2024)

Quantum Gradient Class Activation Map for Model Interpretability. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (SiPS, 2024)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. - Ryan L'Abbate; Anthony D'Onofrio Jr.; Samuel Alexander Stein; Samuel Yen-Chi Chen; Ang Li 006; Pin-Yu Chen; Juntao Chen; Ying Mao 001 (CoRR, 2024)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. - Jun Qi 002; Chao-Han Huck Yang; Samuel Yen-Chi Chen; Pin-Yu Chen; Hector Zenil; Jesper Tegnér (CoRR, 2024)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. - Jun Qi 002; Chao-Han Yang; Samuel Yen-Chi Chen; Pin-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)

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity. - Samuel Yen-Chi Chen (CoRR, 2024)

Foundations of Quantum Federated Learning Over Classical and Quantum Networks. - Mahdi Chehimi; Samuel Yen-Chi Chen; Walid Saad; Don Towsley; Mérouane Debbah (IEEE Netw., 2024)

Federated quantum long short-term memory (FedQLSTM). - Mahdi Chehimi; Samuel Yen-Chi Chen; Walid Saad; Shinjae Yoo (Quantum Mach. Intell., 2024)

Hands-On Introduction to Quantum Machine Learning. - Muhammad Ismail; Huan-Hsin Tseng; Samuel Yen-Chi Chen (FLAIRS, 2025)

Learning to Measure Quantum Neural Networks. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (ICASSP Workshops, 2025)

Quantum Reinforcement Learning for Coordinated Satellite Systems. - Gyu Seon Kim; Samuel Yen-Chi Chen; Soohyun Park; Joongheon Kim (ICASSP, 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)

Hybrid Encoding-based Quantum Self Attention for Financial Time Series Analysis. - Lokes S; Suresh Reddy; Samuel Yen-Chi Chen (ICASSP Workshops, 2025)

Transfer Learning Analysis of Variational Quantum Circuits. - Huan-Hsin Tseng; Hsin-Yi Lin; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP Workshops, 2025)

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. - Yun-Cheng Tsai; Samuel Yen-Chi Chen (ICCCN, 2025)

Quantum AI: Harnessing the Power of Quantum Computing for Scalable and Adaptive Learning. - Samuel Yen-Chi Chen (IOLTS, 2025)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. - Jun Qi 002; Chao-Han Huck Yang; Samuel Yen-Chi Chen; Pin-Yu Chen (ISCAS, 2025)

Introduction to Quantum Machine Learning and Quantum Architecture Search. - Samuel Yen-Chi Chen; Zhiding Liang (ISCAS, 2025)

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. - Kecheng Liu; Yidong Zhou; Haochen Luo; Lingjun Xiong; Yuchen Zhu; Eilis Casey; Jinglei Cheng; Samuel Yen-Chi Chen; Zhiding Liang (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)

Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning. - Chi-Sheng Chen; Samuel Yen-Chi Chen; Huan-Hsin Tseng (CoRR, 2025)

Adaptive Non-local Observable on Quantum Neural Networks. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (CoRR, 2025)

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. - Junghoon Justin Park; Jiook Cha; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (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)

Learning to Program Quantum Measurements for Machine Learning. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (CoRR, 2025)

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis. - Yun-Cheng Tsai; Yen-Ku Liu; Samuel Yen-Chi Chen (CoRR, 2025)

Diffusion-inspired quantum noise mitigation in parameterized quantum circuits. - Hoang-Quan Nguyen; Xuan-Bac Nguyen; Samuel Yen-Chi Chen; Hugh Churchill; Nicholas Borys; Samee U. Khan; Khoa Luu (Quantum Mach. Intell., 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)

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. - Yen-Ku Liu; Yun-Huei Pan; Pei-Fan Lu; Yun-Cheng Tsai; Samuel Yen-Chi Chen (CoRR, 2025)

Quantum Reinforcement Learning by Adaptive Non-local Observables. - Hsin-Yi Lin; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (CoRR, 2025)

Auction-Based Trustworthy and Resilient Quantum Distributed Learning. - Hyunsoo Lee; Seok Bin Son; Samuel Yen-Chi Chen; Soohyun Park (IEEE Internet Things J., 2025)

Quantum Long Short-term Memory with Differentiable Architecture Search. - Samuel Yen-Chi Chen; Prayag Tiwari (CoRR, 2025)