A Energy-Efficient Re-configurable Multi-mode Convolution Neuron Network Accelerator. - Huan-Ke Hsu; I-Chyn Wey; Tee Hui Teo (MCSoC, 2023)

A Convolutional Neural Network Inference Accelerator Design using Algorithmic Noise-Tolerance Technology. - Shih-Yi Yang; I-Chyn Wey; Huan-Ke Hsu; Tee Hui Teo (MCSoC, 2023)

U-Net Hardware Accelerator. - Tee Hui Teo; Huan-Ke Hsu; Yu-Chiau Chen; I-Chyn Wei (MCSoC, 2024)

Open-AI Driven Open-source Open-access Sustainable ICs Design Flow. - Tee Hui Teo; Maoyang Xiang; Emil Goh; Huan-Ke Hsu (MCSoC, 2024)

SF-MMCN: A Low Power Re-configurable Server Flow Convolution Neural Network Accelerator. - Huan-Ke Hsu; I-Chyn Wey; Tee Hui Teo (CoRR, 2024)