| 2025 | CIKM | Filtered One-Shot Training for Quantum Architecture Search. | Seok Bin Son, Samuel Yen-Chi Chen, Joongheon Kim, Soohyun Park |
| 2025 | FlAIRS | Hands-On Introduction to Quantum Machine Learning. | Muhammad Ismail, Huan-Hsin Tseng, Samuel Yen-Chi Chen |
| 2025 | GLOBECOM | Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits. | Chi-Sheng Chen, Samuel Yen-Chi Chen |
| 2025 | GLOBECOM | Quantum Machine Learning for UAV Swarm Intrusion Detection. | Kuan-Cheng Chen, Samuel Yen-Chi Chen, Tai-Yue Li, Chen-Yu Liu, Kin K. Leung |
| 2025 | GLOBECOM | Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting. | Chi-Sheng Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai |
| 2025 | GLOBECOM | Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading. | Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai, Samuel Yen-Chi Chen |
| 2025 | GLOBECOM | Sum Secrecy Rate Optimization in UAV Communications Using Quantum Actor-Critic Reinforcement Learning. | Su Fong Chien, Samuel Yen-Chi Chen, Mau Luen Tham, Heng Siong Lim, Charilaos C. Zarakovitis, Michail-Alexandros Kourtis, Yi Jie Wong |
| 2025 | ICASSP | Learning to Measure Quantum Neural Networks. | Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo |
| 2025 | ICASSP | Quantum Reinforcement Learning for Coordinated Satellite Systems. | Gyu Seon Kim, Samuel Yen-Chi Chen, Soohyun Park, Joongheon Kim |
| 2025 | ICASSP | Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection. | Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen |
| 2025 | ICASSP | Hybrid Encoding-based Quantum Self Attention for Financial Time Series Analysis. | Lokes S, Suresh Reddy, Samuel Yen-Chi Chen |
| 2025 | ICASSP | Transfer Learning Analysis of Variational Quantum Circuits. | Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo |
| 2025 | ICCCN | Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data. | Yun-Cheng Tsai, Samuel Yen-Chi Chen |
| 2025 | IJCNN | Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. | Samuel Yen-Chi Chen, Kuan-Cheng Chen |
| 2025 | IJCNN | A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. | Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella |
| 2025 | INFOCOM | Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal. | Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang |
| 2025 | IOLTS | Quantum AI: Harnessing the Power of Quantum Computing for Scalable and Adaptive Learning. | Samuel Yen-Chi Chen |
| 2025 | ISCAS | Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. | Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen |
| 2025 | ISCAS | Introduction to Quantum Machine Learning and Quantum Architecture Search. | Samuel Yen-Chi Chen, Zhiding Liang |
| 2025 | ISCAS | ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. | Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang |
| 2025 | IWCMC | Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers. | Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu, Kin K. Leung |
| 2025 | QCE | Neural Architecture Search for Quantum Autoencoders. | Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo |
| 2025 | QCE | Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation. | Samuel Yen-Chi Chen, Chen-Yu Liu, Kuan-Cheng Chen, Wei-Jia Huang, Yen-Jui Chang, Wei-Hao Huang |
| 2025 | QCE | Learning to Program Quantum Measurements for Machine Learning. | Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo |
| 2025 | QCE | Federated Quantum Kernel-Based Long Short-Term Memory for Human Activity Recognition. | Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Wei-Ting Chen, Kuo-Chung Peng, Prayag Tiwari, Samuel Yen-Chi Chen, En-Jui Kuo |
| 2025 | QCE | Quantum Reinforcement Learning by Adaptive Non-Local Observables. | Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo |
| 2025 | QCE | Adaptive Non-Local Observable on Quantum Neural Networks. | Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo |
| 2025 | QCE | Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting. | Chen-Yu Liu, Kuan-Cheng Chen, Yi-Chien Chen, Samuel Yen-Chi Chen, Wei-Hao Huang, Wei-Jia Huang, Yen-Jui Chang |
| 2025 | QCE | Generative Modeling of Measurement Data for Quantum Parameter Adaptation. | Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, Wei-Hao Huang, Yen-Jui Chang |
| 2025 | QCE | Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions. | Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi Chen |
| 2025 | QCE | Resting-State fMRI Analysis Using Quantum Time-Series Transformer. | Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo |
| 2025 | QCE | Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau? | Yifeng Peng, Xinyi Li, Zhemin Zhang, Samuel Yen-Chi Chen, Zhiding Liang, Ying Wang |
| 2025 | QCE | Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits. | Yifeng Peng, Xinyi Li, Zhemin Zhang, Samuel Yen-Chi Chen, Zhiding Liang, Ying Wang |
| 2024 | CIKM | Hands-On Introduction to Quantum Machine Learning. | Samuel Yen-Chi Chen, Joongheon Kim |
| 2024 | FlAIRS | Hands-On Introduction to Quantum Machine Learning. | Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen |
| 2024 | ICASSP | Efficient Quantum Recurrent Reinforcement Learning Via Quantum Reservoir Computing. | Samuel Yen-Chi Chen |
| 2024 | ICASSP | Federated Quantum Machine Learning with Differential Privacy. | Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen |
| 2024 | ICASSP | Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. | William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo |
| 2024 | ICMLA | Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning. | Travis Lee, Muhammad Ismail, Samuel Yen-Chi Chen |
| 2024 | IJCNN | Learning to Program Variational Quantum Circuits with Fast Weights. | Samuel Yen-Chi Chen |
| 2024 | QCE | Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning. | Samuel Yen-Chi Chen |
| 2024 | QCE | Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. | Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen |
| 2024 | QCE | QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering. | Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu |
| 2024 | QCE | Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. | Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng |
| 2024 | QCE | PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. | Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan |
| 2023 | ICASSP | Quantum Deep Recurrent Reinforcement Learning. | Samuel Yen-Chi Chen |
| 2023 | ICMLA | Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. | 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 | QCE | Quantum Deep Q-Learning with Distributed Prioritized Experience Replay. | Samuel Yen-Chi Chen |
| 2022 | ICASSP | Quantum Long Short-Term Memory. | Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang |
| 2022 | ICASSP | The Dawn of Quantum Natural Language Processing. | Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring |
| 2022 | ICASSP | When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. | Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen |
| 2021 | ICASSP | Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. | Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee |
| 2020 | SEKE | Explainable Deep Convolutional Candlestick Learner. | Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur |