Radiomics-based Prediction of Re-hemorrhage in Cerebral Cavernous Malformation after Gamma Knife Radiosurgery. - Pei-Hsuan Kuo; Cheng-Chia Lee; Chia-Feng Lu (EMBC, 2021)

An SoC Integration Ready VLIW-Driven CNN Accelerator with High Utilization and Scalability. - Chia-Heng Hu; I-Hao Tseng; Pei-Hsuan Kuo; Juinn-Dar Huang (AICAS, 2022)

Hardware-Friendly Activation Function Designs and Its Efficient VLSI Implementations for Transformer-Based Applications. - Yu-Hsiang Huang; Pei-Hsuan Kuo; Juinn-Dar Huang (AICAS, 2023)

Configurable Multi-Precision Floating-Point Multiplier Architecture Design for Computation in Deep Learning. - Pei-Hsuan Kuo; Yu-Hsiang Huang; Juinn-Dar Huang (AICAS, 2023)

A Novel Number Representation and Its Hardware Support for Accurate Low-Bit Quantization on Large Recommender Systems. - Yu-Da Chu; Pei-Hsuan Kuo; Lyu-Ming Ho; Juinn-Dar Huang (AICAS, 2024)

A Hardware-Friendly Alternative to Softmax Function and Its Efficient VLSI Implementation for Deep Learning Applications. - Meng-Hsun Hsieh; Xuan-Hong Li; Yu-Hsiang Huang; Pei-Hsuan Kuo; Juinn-Dar Huang (ISCAS, 2024)