An analysis of reading out the state of a charge quantum bit. - Hsi-Sheng Goan (Quantum Inf. Comput., 2003)

Quantum direct communication with mutual authentication. - Cheng-An Yen; Shi-Jinn Horng; Hsi-Sheng Goan; Tzong-Wann Kao; Yao-Hsin Chou (Quantum Inf. Comput., 2009)

Efficient determination of the Markovian time-evolution towards a steady-state of a complex open quantum system. - Thorsteinn H. Jonsson; Andrei Manolescu; Hsi-Sheng Goan; Nzar Rauf Abdullah; Anna Sitek; Chi-Shung Tang; Vidar Gudmundsson (Comput. Phys. Commun., 2017)

Variational Quantum Circuits and Deep Reinforcement Learning. - Samuel Yen-Chi Chen; Hsi-Sheng Goan (CoRR, 2019)

Variational Quantum Circuits for Deep Reinforcement Learning. - Samuel Yen-Chi Chen; Chao-Han Huck Yang; Jun Qi 002; Pin-Yu Chen; Xiaoli Ma; Hsi-Sheng Goan (IEEE Access, 2020)

Variational quantum reinforcement learning via evolutionary optimization. - Samuel Yen-Chi Chen; Chih-Min Huang; Chia-Wei Hsing; Hsi-Sheng Goan; Ying-Jer Kao (Mach. Learn. Sci. Technol., 2022)

Reinforcement Learning Quantum Local Search. - Chen-Yu Liu; Hsi-Sheng Goan (QCE, 2023)

Existence of Pauli-like stabilizers for every quantum error-correcting code. - Jhih-Yuan Kao; Hsi-Sheng Goan (CoRR, 2023)

Counting stabiliser codes for arbitrary dimension. - Tanmay Singal; Che Chiang; Eugene Hsu; Eunsang Kim; Hsi-Sheng Goan; Min-Hsiu Hsieh (Quantum, 2023)

Controlled-swap-based and Knowledge Navigated Quantum-inspired Computational Intelligence for Quantum Circuit Optimization. - Shu-Yu Kuo; Cheng-Yen Hua; En-Tzu Hsu; Huan-Pu Chen; Jyun-Yi Shen; Chia-Lin Liu; Yao-Hsin Chou; Hsi-Sheng Goan (FUZZ, 2024)

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model. - Chenwei Xu; Yu-Chao Huang; Jerry Yao-Chieh Hu; Weijian Li 002; Ammar Gilani; Hsi-Sheng Goan; Han Liu 001 (ICML, 2024)

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning. - Chen-Yu Liu; Chao-Han Huck Yang; Hsi-Sheng Goan; Min-Hsiu Hsieh (ICLR, 2025)

Quantum-Train: rethinking hybrid quantum-classical machine learning in the model compression perspective. - Chen-Yu Liu; En-Jui Kuo; Chu-Hsuan Abraham Lin; Jason Gemsun Young; Yeong-Jar Chang; Min-Hsiu Hsieh; Hsi-Sheng Goan (Quantum Mach. Intell., 2025)