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2020 – today
- 2026
[j10]Yidong Zhou
, Kecheng Liu, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang:
EDDQC: Enhanced Dynamical Distributing Quantum Compilation. IEEE Trans. Very Large Scale Integr. Syst. 34(1): 93-103 (2026)- [j9]Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng:
Exploring the Potential of QEEGNet for Cross-task and Cross-dataset Electroencephalography Encoding with Quantum Machine Learning. J. Signal Process. Syst. 98(1): 5 (2026) - 2025
- [j8]Hyunsoo Lee, Seok Bin Son, Samuel Yen-Chi Chen, Soohyun Park:
Auction-Based Trustworthy and Resilient Quantum Distributed Learning. IEEE Internet Things J. 12(13): 24530-24540 (2025) - [j7]Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu:
Diffusion-inspired quantum noise mitigation in parameterized quantum circuits. Quantum Mach. Intell. 7(1): 55 (2025) - [c42]Seok Bin Son, Samuel Yen-Chi Chen, Joongheon Kim, Soohyun Park:
Filtered One-Shot Training for Quantum Architecture Search. CIKM 2025: 5263-5267 - [c41]Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. FLAIRS 2025 - [c40]Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo:
Learning to Measure Quantum Neural Networks. ICASSP Workshops 2025: 1-5 - [c39]Gyu Seon Kim, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim:
Quantum Reinforcement Learning for Coordinated Satellite Systems. ICASSP 2025: 1-5 - [c38]Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen:
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection. ICASSP Workshops 2025: 1-5 - [c37]Lokes S, Suresh Reddy, Samuel Yen-Chi Chen:
Hybrid Encoding-based Quantum Self Attention for Financial Time Series Analysis. ICASSP Workshops 2025: 1-5 - [c36]Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo:
Transfer Learning Analysis of Variational Quantum Circuits. ICASSP Workshops 2025: 1-5 - [c35]Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. ICCCN 2025: 1-6 - [c34]Samuel Yen-Chi Chen, Kuan-Cheng Chen:
Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. IJCNN 2025: 1-8 - [c33]Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella:
A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. IJCNN 2025: 1-8 - [c32]Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang:
Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal. INFOCOM WKSHPS 2025: 1-6 - [c31]Samuel Yen-Chi Chen:
Quantum AI: Harnessing the Power of Quantum Computing for Scalable and Adaptive Learning. IOLTS 2025: 1-4 - [c30]Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen:
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. ISCAS 2025: 1-5 - [c29]Samuel Yen-Chi Chen, Zhiding Liang:
Introduction to Quantum Machine Learning and Quantum Architecture Search. ISCAS 2025: 1-6 - [c28]Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang:
ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. ISCAS 2025: 1-5 - [c27]Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers. IWCMC 2025: 337-342 - [i72]Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo:
Transfer Learning Analysis of Variational Quantum Circuits. CoRR abs/2501.01507 (2025) - [i71]Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo:
Learning to Measure Quantum Neural Networks. CoRR abs/2501.05663 (2025) - [i70]Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng:
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning. CoRR abs/2503.00080 (2025) - [i69]Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers. CoRR abs/2503.14088 (2025) - [i68]Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo:
Adaptive Non-local Observable on Quantum Neural Networks. CoRR abs/2504.13414 (2025) - [i67]Samuel Yen-Chi Chen, Zhiding Liang:
Introduction to Quantum Machine Learning and Quantum Architecture Search. CoRR abs/2504.16131 (2025) - [i66]Junghoon Justin Park, Jiook Cha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo:
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. CoRR abs/2505.08782 (2025) - [i65]Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen, Samuel Yen-Chi Chen, Wei-Hao Huang, Wei-Jia Huang, Yen-Jui Chang:
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting. CoRR abs/2505.09395 (2025) - [i64]Samuel Yen-Chi Chen, Chen-Yu Liu, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang, Wei-Hao Huang:
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation. CoRR abs/2505.09653 (2025) - [i63]Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo:
Learning to Program Quantum Measurements for Machine Learning. CoRR abs/2505.13525 (2025) - [i62]Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. CoRR abs/2505.16672 (2025) - [i61]Yun-Cheng Tsai, Yen-Ku Liu, Samuel Yen-Chi Chen:
Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis. CoRR abs/2506.02068 (2025) - [i60]Kuan-Cheng Chen, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Special-Unitary Parameterization for Trainable Variational Quantum Circuits. CoRR abs/2507.05535 (2025) - [i59]Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. CoRR abs/2507.12835 (2025) - [i58]Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo:
Quantum Reinforcement Learning by Adaptive Non-local Observables. CoRR abs/2507.19629 (2025) - [i57]Chi-Sheng Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai:
Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting. CoRR abs/2508.04488 (2025) - [i56]Chi-Sheng Chen, Samuel Yen-Chi Chen:
Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits. CoRR abs/2508.05036 (2025) - [i55]Samuel Yen-Chi Chen, Prayag Tiwari:
Quantum Long Short-term Memory with Differentiable Architecture Search. CoRR abs/2508.14955 (2025) - [i54]Yifeng Peng, Xinyi Li, Zhemin Zhang, Samuel Yen-Chi Chen, Zhiding Liang, Ying Wang:
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits. CoRR abs/2508.18514 (2025) - [i53]Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo:
Resting-state fMRI Analysis using Quantum Time-series Transformer. CoRR abs/2509.00711 (2025) - [i52]Junghoon Justin Park, Huan-Hsin Tseng, Shinjae Yoo, Samuel Yen-Chi Chen, Jiook Cha:
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles. CoRR abs/2509.00713 (2025) - [i51]Kuan-Cheng Chen, Samuel Yen-Chi Chen, Tai-Yue Li, Chen-Yu Liu, Kin K. Leung:
Quantum Machine Learning for UAV Swarm Intrusion Detection. CoRR abs/2509.01812 (2025) - [i50]Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading. CoRR abs/2509.09176 (2025) - [i49]Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du:
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE. CoRR abs/2509.15193 (2025) - [i48]Emily Jimin Roh, Hyojun Ahn, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim:
How Can Quantum Deep Learning Improve Large Language Models? CoRR abs/2509.16244 (2025) - [i47]Chen-Yu Liu, Leonardo Placidi, Kuan-Cheng Chen, Samuel Yen-Chi Chen, Gabriel Matos:
You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models. CoRR abs/2509.20090 (2025) - [i46]Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series. CoRR abs/2511.02301 (2025) - [i45]Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo:
Neural Architecture Search for Quantum Autoencoders. CoRR abs/2511.19246 (2025) - 2024
- [j6]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah:
Foundations of Quantum Federated Learning Over Classical and Quantum Networks. IEEE Netw. 38(1): 124-130 (2024) - [j5]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. 6(2): 43 (2024) - [c26]Samuel Yen-Chi Chen, Joongheon Kim:
Hands-On Introduction to Quantum Machine Learning. CIKM 2024: 5507-5510 - [c25]Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. FLAIRS 2024 - [c24]William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. ICASSP 2024: 6875-6879 - [c23]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. ICASSP 2024: 9811-9815 - [c22]Samuel Yen-Chi Chen:
Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. ICASSP 2024: 13186-13190 - [c21]Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen:
Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. ICMLA 2024: 1815-1820 - [c20]Chen-Yu Liu, Samuel Yen-Chi Chen:
Federated Quantum-Train with Batched Parameter Generation. ICTC 2024: 1133-1138 - [c19]Samuel Yen-Chi Chen:
An Introduction to Quantum Reinforcement Learning (QRL). ICTC 2024: 1139-1144 - [c18]Samuel Yen-Chi Chen:
Learning to Program Variational Quantum Circuits with Fast Weights. IJCNN 2024: 1-9 - [c17]Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu:
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. QCE 2024: 347-352 - [c16]Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan:
PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. QCE 2024: 1413-1424 - [c15]Samuel Yen-Chi Chen:
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. QCE 2024: 1516-1524 - [c14]Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen:
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. QCE 2024: 1525-1534 - [c13]Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng:
Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. QCE 2024: 1583-1594 - [c12]Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai, Chun-Shu Wei:
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding. SiPS 2024: 153-158 - [c11]Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Gradient Class Activation Map for Model Interpretability. SiPS 2024: 165-170 - [i44]William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning. CoRR abs/2401.07464 (2024) - [i43]Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Alexander Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao:
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. CoRR abs/2402.15333 (2024) - [i42]Samuel Yen-Chi Chen:
Learning to Program Variational Quantum Circuits with Fast Weights. CoRR abs/2402.17760 (2024) - [i41]Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu:
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. CoRR abs/2405.19722 (2024) - [i40]Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu:
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits. CoRR abs/2406.00843 (2024) - [i39]Samuel Yen-Chi Chen:
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. CoRR abs/2407.18202 (2024) - [i38]Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen:
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. CoRR abs/2407.20147 (2024) - [i37]Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Gradient Class Activation Map for Model Interpretability. CoRR abs/2408.05899 (2024) - [i36]Samuel Yen-Chi Chen:
An Introduction to Quantum Reinforcement Learning (QRL). CoRR abs/2409.05846 (2024) - [i35]Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen:
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection. CoRR abs/2410.09250 (2024) - [i34]Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang:
ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. CoRR abs/2410.23857 (2024) - [i33]Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér:
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR abs/2411.08552 (2024) - [i32]Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen:
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. CoRR abs/2411.09403 (2024) - [i31]Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung:
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning. CoRR abs/2412.08845 (2024) - [i30]Samuel Yen-Chi Chen:
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity. CoRR abs/2412.12484 (2024) - 2023
- [c10]Samuel Yen-Chi Chen:
Quantum Deep Recurrent Reinforcement Learning. ICASSP 2023: 1-5 - [c9]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:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA 2023: 800-807 - [c8]Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. INNS DLIA@IJCNN 2023: 321-330 - [c7]Samuel Yen-Chi Chen:
Quantum Deep Q-Learning with Distributed Prioritized Experience Replay. QCE 2023: 31-35 - [i29]Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. CoRR abs/2301.05096 (2023) - [i28]Samuel Yen-Chi Chen:
Quantum deep Q learning with distributed prioritized experience replay. CoRR abs/2304.09648 (2023) - [i27]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:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR abs/2308.01921 (2023) - [i26]Samuel Yen-Chi Chen:
Efficient quantum recurrent reinforcement learning via quantum reservoir computing. CoRR abs/2309.07339 (2023) - [i25]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. CoRR abs/2310.06973 (2023) - [i24]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah:
Foundations of Quantum Federated Learning Over Classical and Quantum Networks. CoRR abs/2310.14516 (2023) - [i23]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated Quantum Long Short-term Memory (FedQLSTM). CoRR abs/2312.14309 (2023) - 2022
- [j4]Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao:
Variational quantum reinforcement learning via evolutionary optimization. Mach. Learn. Sci. Technol. 3(1): 15025 (2022) - [c6]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP 2022: 8602-8606 - [c5]Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring:
The Dawn of Quantum Natural Language Processing. ICASSP 2022: 8612-8616 - [c4]Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang:
Quantum Long Short-Term Memory. ICASSP 2022: 8622-8626 - [c3]Jun-Hao Chen, Cheng-Han Wu, Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Explainable Digital Currency Candlestick Pattern AI Learner. KST 2022: 91-96 - [i22]Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen, Samuel Yen-Chi Chen:
Financial Vision Based Reinforcement Learning Trading Strategy. CoRR abs/2202.04115 (2022) - [i21]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR abs/2203.03550 (2022) - [i20]Samuel Yen-Chi Chen:
Quantum deep recurrent reinforcement learning. CoRR abs/2210.14876 (2022) - [i19]Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski:
Reservoir Computing via Quantum Recurrent Neural Networks. CoRR abs/2211.02612 (2022) - [i18]Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer, Samuel Yen-Chi Chen:
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse. CoRR abs/2212.11890 (2022) - 2021
- [j3]Samuel Yen-Chi Chen, Shinjae Yoo:
Federated Quantum Machine Learning. Entropy 23(4): 460 (2021) - [j2]Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao:
An end-to-end trainable hybrid classical-quantum classifier. Mach. Learn. Sci. Technol. 2(4): 45021 (2021) - [c2]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP 2021: 6523-6527 - [i17]Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Hybrid Quantum-Classical Graph Convolutional Network. CoRR abs/2101.06189 (2021) - [i16]Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao:
An end-to-end trainable hybrid classical-quantum classifier. CoRR abs/2102.02416 (2021) - [i15]William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum machine learning with differential privacy. CoRR abs/2103.06232 (2021) - [i14]Samuel Yen-Chi Chen, Shinjae Yoo:
Federated Quantum Machine Learning. CoRR abs/2103.12010 (2021) - [i13]En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen:
Quantum Architecture Search via Deep Reinforcement Learning. CoRR abs/2104.07715 (2021) - [i12]Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao:
Variational Quantum Reinforcement Learning via Evolutionary Optimization. CoRR abs/2109.00540 (2021) - [i11]Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring:
The Dawn of Quantum Natural Language Processing. CoRR abs/2110.06510 (2021) - [i10]Esther Ye, Samuel Yen-Chi Chen:
Quantum Architecture Search via Continual Reinforcement Learning. CoRR abs/2112.05779 (2021) - [i9]Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen:
Financial Vision Based Differential Privacy Applications. CoRR abs/2112.14075 (2021) - 2020
- [j1]Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan:
Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access 8: 141007-141024 (2020) - [c1]Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur:
Explainable Deep Convolutional Candlestick Learner. SEKE 2020: 234-237 - [i8]Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur:
Explainable Deep Convolutional Candlestick Learner. CoRR abs/2001.02767 (2020) - [i7]Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai:
Data Augmentation for Deep Candlestick Learner. CoRR abs/2005.06731 (2020) - [i6]Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur:
Adversarial Robustness of Deep Convolutional Candlestick Learner. CoRR abs/2006.03686 (2020) - [i5]Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang:
Quantum Long Short-Term Memory. CoRR abs/2009.01783 (2020) - [i4]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. CoRR abs/2010.13309 (2020) - [i3]Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao:
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. CoRR abs/2011.14651 (2020) - [i2]Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. CoRR abs/2012.12177 (2020)
2010 – 2019
- 2019
- [i1]Samuel Yen-Chi Chen, Hsi-Sheng Goan:
Variational Quantum Circuits and Deep Reinforcement Learning. CoRR abs/1907.00397 (2019)
Coauthor Index
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