Electrocardiogram diagnosis using wavelet-based artificial neural network. - Kun-Chih Jimmy Chen; Yu-Shu Ni; Jhao-Yi Wang (GCCE, 2016)

Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Jiun-In Guo; Jenq-Neng Hwang; Bo-Xun Wu; Po-Chi Hu; Ted T. Kuo; Po-Yu Chen; Hsien-Kai Kuo (ICMR, 2021)

Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Chih-Cheng Chen; Po-Yu Chen; Hsien-Kai Kuo; Man-Yu Lee; Kuo Chin-Chuan; Zhe-Ln Hu; Po-Chi Hu; Ted T. Kuo; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2022)

iVS Dataset and ezLabel: A Dataset and a Data Annotation Tool for Deep Learning Based ADAS Applications. - Yu-Shu Ni; Vinay Malligere Shivanna; Jiun-In Guo (Remote. Sens., 2022)

Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries. - Yu-Shu Ni; Chia-Chi Tsai; Chih-Cheng Chen; Hsien-Kai Kuo; Po-Yu Chen; Po-Chi Hu; Ted T. Kuo; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2023)

Summary of the 2023 PAIR-LITEON Competition: Embedded AI Object Detection Model Design Contest on Fish-eye Around-view Cameras. - Yu-Shu Ni; Chia-Chi Tsai; Jyun-Syu Lin; Hsien-Po Meng; Po-Chi Hu; Jiun-Shiung Chen; Kun-Hung Lin; Chih-Yuan Chuang; Jiun-In Guo (MMAsia, 2023)

Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems. - Yu-Shu Ni; Han-Chun Chen; Chia-Chi Tsai; Chih-Cheng Chen; Po-Yu Chen; Hsien-Kai Kuo; Jun-Ying Hunag; Po-Chi Hu; Jenq-Neng Hwang; Jiun-In Guo (ICME Workshops, 2024)

Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data. - Yu-Shu Ni; Wei-Lun Chen; Yi Liu 106; Ming-Hsuan Wu; Jiun-In Guo (Sensors, 2024)