Samuel Yen-Chi Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 56

Top Topics

Quantum Computation

Reinforcement Learning

Differential Privacy

Top Venues

Mach. Learn. Sci. Technol.

INNS DLIA@IJCNN

Publications

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 (2024)
Samuel Yen-Chi Chen
Learning to Program Variational Quantum Circuits with Fast Weights. CoRR (2024)
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 (2024)
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Federated Quantum Machine Learning with Differential Privacy. ICASSP (2024)
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) (2024)
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 (2024)
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)
Samuel Yen-Chi Chen
Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. ICASSP (2024)
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. CoRR (2024)
Samuel Yen-Chi Chen
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. CoRR (2024)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. 6 (2) (2024)
Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen
Hands-On Introduction to Quantum Machine Learning. FLAIRS (2024)
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 (2024)
Samuel Yen-Chi Chen
Efficient quantum recurrent reinforcement learning via quantum reservoir computing. CoRR (2023)
Samuel Yen-Chi Chen
Quantum deep Q learning with distributed prioritized experience replay. CoRR (2023)
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Federated Quantum Machine Learning with Differential Privacy. CoRR (2023)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
Federated Quantum Long Short-term Memory (FedQLSTM). CoRR (2023)
Samuel Yen-Chi Chen
Quantum Deep Q-Learning with Distributed Prioritized Experience Replay. QCE (2023)
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)
Samuel Yen-Chi Chen
Asynchronous training of quantum reinforcement learning. CoRR (2023)
Samuel Yen-Chi Chen
Quantum Deep Recurrent Reinforcement Learning. ICASSP (2023)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Don Towsley, Mérouane Debbah
Foundations of Quantum Federated Learning Over Classical and Quantum Networks. CoRR (2023)
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 (2023)
Samuel Yen-Chi Chen
Asynchronous training of quantum reinforcement learning. INNS DLIA@IJCNN (2023)
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
The Dawn of Quantum Natural Language Processing. ICASSP (2022)
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 (2022)
Samuel Yen-Chi Chen
Quantum deep recurrent reinforcement learning. CoRR (2022)
Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski
Reservoir Computing via Quantum Recurrent Neural Networks. CoRR (2022)
Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer, Samuel Yen-Chi Chen
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse. CoRR (2022)
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
Quantum Long Short-Term Memory. ICASSP (2022)
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) (2022)
Yun-Cheng Tsai, Fu-Min Szu, Jun Hao Chen, Samuel Yen-Chi Chen
Financial Vision Based Reinforcement Learning Trading Strategy. CoRR (2022)
Jun Hao Chen, Cheng-Han Wu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
Explainable Digital Currency Candlestick Pattern AI Learner. KST (2022)
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)
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)
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
Hybrid Quantum-Classical Graph Convolutional Network. CoRR (2021)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao
Variational Quantum Reinforcement Learning via Evolutionary Optimization. CoRR (2021)
Samuel Yen-Chi Chen, Shinjae Yoo
Federated Quantum Machine Learning. Entropy 23 (4) (2021)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
An end-to-end trainable hybrid classical-quantum classifier. CoRR (2021)
Samuel Yen-Chi Chen, Shinjae Yoo
Federated Quantum Machine Learning. CoRR (2021)
William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo
Quantum machine learning with differential privacy. CoRR (2021)
Esther Ye, Samuel Yen-Chi Chen
Quantum Architecture Search via Continual Reinforcement Learning. CoRR (2021)
Jun Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
Financial Vision Based Differential Privacy Applications. CoRR (2021)
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) (2021)
En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen
Quantum Architecture Search via Deep Reinforcement Learning. CoRR (2021)
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
The Dawn of Quantum Natural Language Processing. CoRR (2021)
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. CoRR (2020)
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 (2020)
Jun Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
Adversarial Robustness of Deep Convolutional Candlestick Learner. CoRR (2020)
Jun Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
Explainable Deep Convolutional Candlestick Learner. SEKE (2020)
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
Quantum Long Short-Term Memory. CoRR (2020)
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 (2020)
Jun Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur
Explainable Deep Convolutional Candlestick Learner. CoRR (2020)
Chia-Ying Tsao, Jun Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai
Data Augmentation for Deep Candlestick Learner. CoRR (2020)
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 (2020)
Samuel Yen-Chi Chen, Hsi-Sheng Goan
Variational Quantum Circuits and Deep Reinforcement Learning. CoRR (2019)