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2020 – today
- 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) - [c16]Samuel Yen-Chi Chen, Joongheon Kim:
Hands-On Introduction to Quantum Machine Learning. CIKM 2024: 5507-5510 - [c15]Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. FLAIRS 2024 - [c14]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 - [c13]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. ICASSP 2024: 9811-9815 - [c12]Samuel Yen-Chi Chen:
Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. ICASSP 2024: 13186-13190 - [c11]Samuel Yen-Chi Chen:
Learning to Program Variational Quantum Circuits with Fast Weights. IJCNN 2024: 1-9 - [i38]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) - [i37]Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel 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) - [i36]Samuel Yen-Chi Chen:
Learning to Program Variational Quantum Circuits with Fast Weights. CoRR abs/2402.17760 (2024) - [i35]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) - [i34]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) - [i33]Samuel Yen-Chi Chen:
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. CoRR abs/2407.18202 (2024) - [i32]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) - [i31]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) - [i30]Samuel Yen-Chi Chen:
An Introduction to Quantum Reinforcement Learning (QRL). CoRR abs/2409.05846 (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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last updated on 2024-11-14 20:59 CET by the dblp team
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