A DNA-based graph encoding scheme with its applications to graph isomorphism problems. - Sun-Yuan Hsieh; Chao-Wen Huang; Hsin-Hung Chou (Appl. Math. Comput., 2008)

Node-searching problem on block graphs. - Hsin-Hung Chou; Ming-Tat Ko; Chin-Wen Ho; Gen-Huey Chen (Discret. Appl. Math., 2008)

A further result on fault-free cycles in faulty folded hypercubes. - Sun-Yuan Hsieh; Che-Nan Kuo; Hsin-Hung Chou (Inf. Process. Lett., 2009)

Average Number of Recirculations in SDL Constructions of Optical Priority Queues. - Jay Cheng; Xuan-Chao Huang; Chih-Heng Cheng; Hsin-Hung Chou; Cheng-Shang Chang; Duan-Shin Lee (IEEE Commun. Lett., 2011)

Loss Probability and Delay of Finite-Buffer Queues with Discrete ON-OFF Markovian Arrivals and Geometric Service Times. - Sheng-Hua Yang; Jay Cheng; Hsin-Hung Chou; Chih-Heng Cheng (ICAIT, 2012)

A necessary and sufficient condition for SDL constructions of optical FIFO queues. - Jay Cheng; Hsin-Hung Chou; Chih-Heng Cheng (GLOBECOM, 2013)

Detecting overlapping communities in networks based on a simple node behavior model. - Xuan-Chao Huang; Jay Cheng; Hsin-Hung Chou; Chih-Heng Cheng; Hsien-Tsan Chen (GLOBECOM, 2013)

Optimized FPGA design, verification and implementation of a neuro-fuzzy controller for PMSM drives. - Hsin-Hung Chou; Ying-Shieh Kung; Nguyen Vu Quynh; Stone Cheng (Math. Comput. Simul., 2013)

Fault-tolerant path embedding in folded hypercubes with both node and edge faults. - Che-Nan Kuo; Hsin-Hung Chou; Nai-Wen Chang 002; Sun-Yuan Hsieh (Theor. Comput. Sci., 2013)

An Enhanced Algorithm for Reconstructing a Phylogenetic Tree Based on the Tree Rearrangement and Maximum Likelihood Method. - Sun-Yuan Hsieh; I-Pien Tsai; Hao-Che Hung; Yi-Chun Chen; Hsin-Hung Chou; Chia-Wei Lee (ICIC (2), 2015)

Digital hardware implementation of a radial basis function neural network. - Nguyen Phan Thanh; Ying-Shieh Kung; Seng-Chi Chen; Hsin-Hung Chou (Comput. Electr. Eng., 2016)

Filter-based deep-compression with global average pooling for convolutional networks. - Ting-Yun Hsiao; Yung-Chang Chang; Hsin-Hung Chou; Ching-Te Chiu (J. Syst. Archit., 2019)

A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach. - Hsin-Hung Chou; Ching-Tien Hsu; Hao-Ching Wang; Sun-Yuan Hsieh (ICIC (2), 2020)

The Construction of Multiple Independent Spanning Trees on Burnt Pancake Networks. - Yi-Cheng Yang; Shih-Shun Kao; Ralf Klasing; Sun-Yuan Hsieh; Hsin-Hung Chou; Jou-Ming Chang (IEEE Access, 2021)

A Novel Branch-and-Bound Algorithm for the Protein Folding Problem in the 3D HP Model. - Hsin-Hung Chou; Ching-Tien Hsu; Li-Hsuan Chen; Yue-Cheng Lin; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Constructions of Optical MIMO Priority Queues With Time-Varying Service Capacity. - Jay Cheng; Hsin-Hung Chou; Shin-Shiang Huang; Ming-Che Tang (APCC, 2022)

Automated Diagnosis of Vertebral Fractures Using Radiographs and Machine Learning. - Li-Wei Cheng; Hsin-Hung Chou; Kuo-Yuan Huang; Chin-Chiang Hsieh; Po-Lun Chu; Sun-Yuan Hsieh (ICIC (1), 2022)

Novel Algorithm for Improved Protein Classification Using Graph Similarity. - Hsin-Hung Chou; Ching-Tien Hsu; Chin-Wei Hsu; Kai-Hsun Yao; Hao-Ching Wang; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Protein PDB Dataset. - Hsin-Hung Chou (IEEE DataPort, 2022)

Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN. - Deng-Yao Tu; Peng-Chan Lin; Hsin-Hung Chou; Meng-Ru Shen; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies. - Tzu-Hsuan Wu; Peng-Chan Lin; Hsin-Hung Chou; Meng-Ru Shen; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

On the maximum buffer size achieved in a class of constructions of optical priority queues. - Jay Cheng; Shin-Shiang Huang; Hsin-Hung Chou; Ming-Che Tang (J. Commun. Networks, 2023)

Automatic Bridge Bidding Model Based on LSTM and Deep Reinforcement Learning. - Wei-Chang Chen; Zheng-Yuan Lin; Hsin-Hung Chou (ICS, 2024)

Deep Learning Approaches with Attention Mechanisms for Go Strength Imitation and Style Recognition. - Chun-Yen Lin; Zhen-Bang Ye; Hsin-Hung Chou (ICS, 2024)

Machine Vision Observation, Artificial Intelligence Pattern Recognition, Protective Circuit Design, Characterization of Multiple Materials, and Nano-Structural Analysis for Investigating InGaN Green Light Emitting Diode Degradation in a Salty Water Vapor Environment. - Cheng-Shan Chen; Chun-Yen Yang; Shao-Jui Yang; Deng-Yi Wang; Yaw-Wen Kuo; Wei-Han Hsiao; Hsin-Hung Chou; Chia-Feng Lin; Yung-Hui Li; Yewchung Sermon Wu; Hsiang Chen; Jung Han (IRPS, 2024)

Artificial Intelligence-Based Reliability and Material Characterization of AlInGaP LEDs in Salty Water Environments. - Deng-Yi Wang; You-Li Lin; Yu-Tung Chen; En-Ting He; Wei-Cheng Chen; Yaw-Wen Kuo; Wei-Han Hsiao; Hsin-Hung Chou; Chia-Feng Lin; Yung-Hui Li; Yewchung Sermon Wu; Wen-Chang Huang; et al. (IEEE Access, 2024)

Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field. - Li-Wei Cheng; Hsin-Hung Chou; Yu-Xuan Cai; Kuo-Yuan Huang; Chin-Chiang Hsieh; Po-Lun Chu; I-Szu Cheng; Sun-Yuan Hsieh (Neurocomputing, 2024)

Efficient Deep Learning Models Revolutionize Doctor's Training for Point-of-Care Ultrasound. - Hsin-Hung Chou; Yi-Chung Chang; Wan-Ching Lien; Lung-Chun Lin; Xing-Zheng Lin; Ting-En Hsu; Yueh-Ping Liu; Li Liu; Yen-Ting Chan; Feng-Sen Kuan (IEEE Access, 2025)

On Constructions of Optical Priority Queues Under a Priority-Based Routing Policy. - Jay Cheng; Hsin-Hung Chou; Ling-Chieh Chang; Shin-Shiang Huang; Hsueh-Wen Tseng; Cheng-Hao Yang (IEEE Trans. Inf. Theory, 2025)

A GAN-based with expert-validated data augmentation method for wireless capsule endoscopy images of small intestine polyp. - Yu-Ting Chou; Sun-Yuan Hsieh; Peng-Chan Lin; Hsin-Yu Kuo; Hsin-Hung Chou (J. Supercomput., 2025)