Samuel Yen-Chi Chen

Orcid: 0000-0003-0114-4826

According to our database¹, Samuel Yen-Chi Chen authored at least 52 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Federated quantum long short-term memory (FedQLSTM).

[BibT_eX]

[DOI]

Quantum Mach. Intell., December, 2024

Foundations of Quantum Federated Learning Over Classical and Quantum Networks.

[BibT_eX]

[DOI]

IEEE Netw., January, 2024

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

CoRR, 2024

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits.

[BibT_eX]

[DOI]

CoRR, 2024

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection.

[BibT_eX]

[DOI]

Chu-Hsuan Abraham Lin

Chen-Yu Liu

Samuel Yen-Chi Chen

Kuan-Cheng Chen

CoRR, 2024

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits.

[BibT_eX]

[DOI]

CoRR, 2024

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.

[BibT_eX]

[DOI]

Ryan L'Abbate

Anthony D'Onofrio Jr.

Samuel Alexander Stein

CoRR, 2024

Quantum Gradient Class Activation Map for Model Interpretability.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024

QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024

PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Learning to Program Variational Quantum Circuits with Fast Weights.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Federated Quantum-Train with Batched Parameter Generation.

[BibT_eX]

[DOI]

Chen-Yu Liu

Samuel Yen-Chi Chen

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

An Introduction to Quantum Reinforcement Learning (QRL).

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Quantum Machine Learning with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Hands-On Introduction to Quantum Machine Learning.

[BibT_eX]

[DOI]

Muhammad Ismail

Mohamed Shaban

Samuel Yen-Chi Chen

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Hands-On Introduction to Quantum Machine Learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Joongheon Kim

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Quantum Deep Q-Learning with Distributed Prioritized Experience Replay.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Asynchronous training of quantum reinforcement learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Quantum Deep Recurrent Reinforcement Learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Variational quantum reinforcement learning via evolutionary optimization.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2022

Decoding surface codes with deep reinforcement learning and probabilistic policy reuse.

[BibT_eX]

[DOI]

Elisha Siddiqui Matekole

Esther Ye

Ramya Iyer

Samuel Yen-Chi Chen

CoRR, 2022

Reservoir Computing via Quantum Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Financial Vision Based Reinforcement Learning Trading Strategy.

[BibT_eX]

[DOI]

CoRR, 2022

Explainable Digital Currency Candlestick Pattern AI Learner.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

The Dawn of Quantum Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Quantum Long Short-Term Memory.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Shinjae Yoo

Yao-Lung L. Fang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

An end-to-end trainable hybrid classical-quantum classifier.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

Federated Quantum Machine Learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Shinjae Yoo

Entropy, 2021

Financial Vision Based Differential Privacy Applications.

[BibT_eX]

[DOI]

CoRR, 2021

Quantum Architecture Search via Continual Reinforcement Learning.

[BibT_eX]

[DOI]

Esther Ye

Samuel Yen-Chi Chen

CoRR, 2021

Quantum Architecture Search via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

En-Jui Kuo

Yao-Lung L. Fang

Samuel Yen-Chi Chen

CoRR, 2021

Quantum machine learning with differential privacy.

[BibT_eX]

[DOI]

William M. Watkins

Samuel Yen-Chi Chen

Shinjae Yoo

CoRR, 2021

Hybrid Quantum-Classical Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2021

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Sabato Marco Siniscalchi

Xiaoli Ma

Chin-Hui Lee

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Hybrid quantum-classical classifier based on tensor network and variational quantum circuit.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Robustness of Deep Convolutional Candlestick Learner.

[BibT_eX]

[DOI]

CoRR, 2020

Data Augmentation for Deep Candlestick Learner.

[BibT_eX]

[DOI]

CoRR, 2020

Variational Quantum Circuits for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Explainable Deep Convolutional Candlestick Learner.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

2019

Variational Quantum Circuits and Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Samuel Yen-Chi Chen

Hsi-Sheng Goan

CoRR, 2019

Samuel Yen-Chi Chen

Timeline

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