Samuel Yen-Chi Chen

134 papers A 2B 5C 7Misc 17Journal 92Unranked 11

Year	Rank	Type	Title / Venue / Authors
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`	EDDQC: Enhanced Dynamical Distributing Quantum Compilation. IEEE Trans. Very Large Scale Integr. Syst. Yidong Zhou, Kecheng Liu, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang
2026	J	`jnl`	Exploring the Potential of QEEGNet for Cross-task and Cross-dataset Electroencephalography Encoding with Quantum Machine Learning. J. Signal Process. Syst. Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
2026	J	`jnl`	Hybrid Quantum Temporal Convolutional Networks. CoRR Junghoon Justin Park, Maria Pak, Sebin Lee, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng, Jiook Cha
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`	Quantum Super-resolution by Adaptive Non-local Observables. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2026	J	`jnl`	Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture. CoRR Tien-Ching Hsieh, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	B	`conf`	A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. IJCNN Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella
2025	J	`jnl`	Adaptive Non-local Observable on Quantum Neural Networks. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2025	J	`jnl`	Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. CoRR Junghoon Justin Park, Jiook Cha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	J	`jnl`	Auction-Based Trustworthy and Resilient Quantum Distributed Learning. IEEE Internet Things J. Hyunsoo Lee, Seok Bin Son, Samuel Yen-Chi Chen, Soohyun Park
2025	J	`jnl`	Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA. CoRR Jun-Hao Chen, Ming-Kai Hung, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting. CoRR Chi-Sheng Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai
2025	J	`jnl`	Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits. CoRR Yifeng Peng, Xinyi Li, Zhemin Zhang, Samuel Yen-Chi Chen, Zhiding Liang, Ying Wang
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`	Diffusion-inspired quantum noise mitigation in parameterized quantum circuits. Quantum Mach. Intell. Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu
2025	C	`conf`	ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. ISCAS Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang
2025	J	`jnl`	Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis. CoRR Yun-Cheng Tsai, Yen-Ku Liu, Samuel Yen-Chi Chen
2025	J	`jnl`	Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning. CoRR Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
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	A	`conf`	Filtered One-Shot Training for Quantum Architecture Search. CIKM Seok Bin Son, Samuel Yen-Chi Chen, Joongheon Kim, Soohyun Park
2025	Misc	`conf`	Hands-On Introduction to Quantum Machine Learning. FLAIRS Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2025	J	`jnl`	How Can Quantum Deep Learning Improve Large Language Models? CoRR Emily Jimin Roh, Hyojun Ahn, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim
2025	—	`conf`	Hybrid Encoding-based Quantum Self Attention for Financial Time Series Analysis. ICASSP Workshops Lokes S, Suresh Reddy, Samuel Yen-Chi Chen
2025	C	`conf`	Introduction to Quantum Machine Learning and Quantum Architecture Search. ISCAS Samuel Yen-Chi Chen, Zhiding Liang
2025	J	`jnl`	Introduction to Quantum Machine Learning and Quantum Architecture Search. CoRR Samuel Yen-Chi Chen, Zhiding Liang
2025	J	`jnl`	It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles. CoRR Junghoon Justin Park, Huan-Hsin Tseng, Shinjae Yoo, Samuel Yen-Chi Chen, Jiook Cha
2025	—	`conf`	Learning to Measure Quantum Neural Networks. ICASSP Workshops Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Learning to Measure Quantum Neural Networks. CoRR Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Learning to Program Quantum Measurements for Machine Learning. CoRR Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025	J	`jnl`	Meta-Learning for Quantum Optimization via Quantum Sequence Model. CoRR Yu-Cheng Lin, Yu-Chao Hsu, Samuel Yen-Chi Chen
2025	J	`jnl`	Neural Architecture Search for Quantum Autoencoders. CoRR Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	J	`jnl`	Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection. CoRR Yen-Ku Liu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits. CoRR Chi-Sheng Chen, Samuel Yen-Chi Chen
2025	J	`jnl`	QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory. CoRR Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Kuo-Chung Peng, Nan-Yow Chen, Samuel Yen-Chi Chen, En-Jui Kuo, Hsi-Sheng Goan
2025	C	`conf`	Quantum AI: Harnessing the Power of Quantum Computing for Scalable and Adaptive Learning. IOLTS Samuel Yen-Chi Chen
2025	B	`conf`	Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. IJCNN Samuel Yen-Chi Chen, Kuan-Cheng Chen
2025	B	`conf`	Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. ICCCN Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. CoRR Yun-Cheng Tsai, Samuel Yen-Chi Chen
2025	J	`jnl`	Quantum Long Short-term Memory with Differentiable Architecture Search. CoRR Samuel Yen-Chi Chen, Prayag Tiwari
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	C	`conf`	Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. ISCAS Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2025	J	`jnl`	Quantum Reinforcement Learning by Adaptive Non-local Observables. CoRR Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025	Misc	`conf`	Quantum Reinforcement Learning for Coordinated Satellite Systems. ICASSP Gyu Seon Kim, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim
2025	J	`jnl`	Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading. CoRR Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
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	J	`jnl`	Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. CoRR Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi 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	J	`jnl`	Resting-state fMRI Analysis using Quantum Time-series Transformer. CoRR Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo
2025	J	`jnl`	Special issue on quantum technologies for communication systems. J. Commun. Networks Soo Young Shin, Zhu Han, Shaukat Ali, Samuel Yen-Chi Chen, Yuanwei Liu, Soohyun Park, Joongheon Kim
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	J	`jnl`	TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE. CoRR Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du
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	—	`conf`	Transfer Learning Analysis of Variational Quantum Circuits. ICASSP Workshops Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
2025	J	`jnl`	Transfer Learning Analysis of Variational Quantum Circuits. CoRR Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
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`	A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. CoRR Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel A. Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
2024	—	`conf`	An Introduction to Quantum Reinforcement Learning (QRL). ICTC Samuel Yen-Chi Chen
2024	J	`jnl`	An Introduction to Quantum Reinforcement Learning (QRL). CoRR Samuel Yen-Chi Chen
2024	Misc	`conf`	Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. QCE Samuel Yen-Chi Chen
2024	J	`jnl`	Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. CoRR Samuel Yen-Chi Chen
2024	J	`jnl`	Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits. CoRR Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu
2024	J	`jnl`	ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. CoRR Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang
2024	Misc	`conf`	Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. ICASSP Samuel Yen-Chi Chen
2024	J	`jnl`	Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity. CoRR Samuel Yen-Chi Chen
2024	Misc	`conf`	Federated Quantum Machine Learning with Differential Privacy. ICASSP Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2024	—	`conf`	Federated Quantum-Train with Batched Parameter Generation. ICTC Chen-Yu Liu, Samuel Yen-Chi Chen
2024	J	`jnl`	Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
2024	J	`jnl`	Foundations of Quantum Federated Learning Over Classical and Quantum Networks. IEEE Netw. Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah
2024	A	`conf`	Hands-On Introduction to Quantum Machine Learning. CIKM Samuel Yen-Chi Chen, Joongheon Kim
2024	Misc	`conf`	Hands-On Introduction to Quantum Machine Learning. FLAIRS Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen
2024	B	`conf`	Learning to Program Variational Quantum Circuits with Fast Weights. IJCNN Samuel Yen-Chi Chen
2024	J	`jnl`	Learning to Program Variational Quantum Circuits with Fast Weights. CoRR Samuel Yen-Chi Chen
2024	J	`jnl`	Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér
2024	C	`conf`	Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. ICMLA Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen
2024	Misc	`conf`	Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. QCE Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng
2024	Misc	`conf`	PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. QCE Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan
2024	Misc	`conf`	QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. QCE Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu
2024	J	`jnl`	QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. CoRR Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu
2024	—	`conf`	QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding. SiPS Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai, Chun-Shu Wei
2024	—	`conf`	Quantum Gradient Class Activation Map for Model Interpretability. SiPS Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024	J	`jnl`	Quantum Gradient Class Activation Map for Model Interpretability. CoRR Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024	Misc	`conf`	Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. QCE Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
2024	J	`jnl`	Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. CoRR Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
2024	J	`jnl`	Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. CoRR Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2024	Misc	`conf`	Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. ICASSP William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
2024	J	`jnl`	Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning. CoRR William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
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
2023	—	`conf`	Asynchronous training of quantum reinforcement learning. INNS DLIA@IJCNN Samuel Yen-Chi Chen
2023	J	`jnl`	Asynchronous training of quantum reinforcement learning. CoRR Samuel Yen-Chi Chen
2023	J	`jnl`	Efficient quantum recurrent reinforcement learning via quantum reservoir computing. CoRR Samuel Yen-Chi Chen
2023	J	`jnl`	Federated Quantum Long Short-term Memory (FedQLSTM). CoRR Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
2023	J	`jnl`	Federated Quantum Machine Learning with Differential Privacy. CoRR Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2023	J	`jnl`	Foundations of Quantum Federated Learning Over Classical and Quantum Networks. CoRR Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah
2023	Misc	`conf`	Quantum Deep Q-Learning with Distributed Prioritized Experience Replay. QCE Samuel Yen-Chi Chen
2023	Misc	`conf`	Quantum Deep Recurrent Reinforcement Learning. ICASSP Samuel Yen-Chi Chen
2023	J	`jnl`	Quantum deep Q learning with distributed prioritized experience replay. CoRR Samuel Yen-Chi Chen
2023	C	`conf`	Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA Wei Chen, Yihui Ren, 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
2023	J	`jnl`	Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus Van Dam, Deyu Lu
2022	J	`jnl`	Decoding surface codes with deep reinforcement learning and probabilistic policy reuse. CoRR Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer, Samuel Yen-Chi Chen
2022	—	`conf`	Explainable Digital Currency Candlestick Pattern AI Learner. KST Jun-Hao Chen, Cheng-Han Wu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2022	J	`jnl`	Financial Vision Based Reinforcement Learning Trading Strategy. CoRR Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen, Samuel Yen-Chi Chen
2022	Misc	`conf`	Quantum Long Short-Term Memory. ICASSP Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
2022	J	`jnl`	Quantum deep recurrent reinforcement learning. CoRR Samuel Yen-Chi Chen
2022	J	`jnl`	Reservoir Computing via Quantum Recurrent Neural Networks. CoRR Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski
2022	Misc	`conf`	The Dawn of Quantum Natural Language Processing. ICASSP Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
2022	J	`jnl`	Variational quantum reinforcement learning via evolutionary optimization. Mach. Learn. Sci. Technol. Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao
2022	Misc	`conf`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2022	J	`jnl`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2021	J	`jnl`	An end-to-end trainable hybrid classical-quantum classifier. CoRR Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
2021	J	`jnl`	An end-to-end trainable hybrid classical-quantum classifier. Mach. Learn. Sci. Technol. Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
2021	Misc	`conf`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2021	J	`jnl`	Federated Quantum Machine Learning. CoRR Samuel Yen-Chi Chen, Shinjae Yoo
2021	J	`jnl`	Federated Quantum Machine Learning. Entropy Samuel Yen-Chi Chen, Shinjae Yoo
2021	J	`jnl`	Financial Vision Based Differential Privacy Applications. CoRR Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
2021	J	`jnl`	Hybrid Quantum-Classical Graph Convolutional Network. CoRR Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
2021	J	`jnl`	Quantum Architecture Search via Continual Reinforcement Learning. CoRR Esther Ye, Samuel Yen-Chi Chen
2021	J	`jnl`	Quantum Architecture Search via Deep Reinforcement Learning. CoRR En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen
2021	J	`jnl`	Quantum machine learning with differential privacy. CoRR William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo
2021	J	`jnl`	The Dawn of Quantum Natural Language Processing. CoRR Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
2021	J	`jnl`	Variational Quantum Reinforcement Learning via Evolutionary Optimization. CoRR Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao
2020	J	`jnl`	Adversarial Robustness of Deep Convolutional Candlestick Learner. CoRR Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Data Augmentation for Deep Candlestick Learner. CoRR Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai
2020	J	`jnl`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	C	`conf`	Explainable Deep Convolutional Candlestick Learner. SEKE Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Explainable Deep Convolutional Candlestick Learner. CoRR Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
2020	J	`jnl`	Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. CoRR Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
2020	J	`jnl`	Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. CoRR Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
2020	J	`jnl`	Quantum Long Short-Term Memory. CoRR Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
2020	J	`jnl`	Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan
2019	J	`jnl`	Variational Quantum Circuits and Deep Reinforcement Learning. CoRR Samuel Yen-Chi Chen, Hsi-Sheng Goan