A Winograd-Based Highly-Parallel Convolution Engine for 8-bit CNN Acceleration. - Yong-Tai Chen; Yu-Feng Ou; Chao-Tsung Huang (AICAS, 2022)

A 4.6-8.3 TOPS/W 1.2-4.9 TOPS CNN-based Computational Imaging Processor with Overlapped Stripe Inference Achieving 4K Ultra-HD 30fps. - Yu-Chun Ding; Kai-Pin Lin; Chi-Wen Weng; Li-Wei Wang 013; Huan-Ching Wang; Chun-Yeh Lin; Yong-Tai Chen; Chao-Tsung Huang (ESSCIRC, 2022)

A Biased Mixed-Precision Convolution Engine for Hardware-Efficient Computational Imaging CNN. - Hao-Jiun Tu; Yu-Feng Ou; Yong-Tai Chen; Chao-Tsung Huang (APSIPA ASC, 2023)

A 16nm 231mW Channel MLP Optimized Neural Processing Unit for 80.3% Top-1 ImageNet Classification Accuracy at 102fps. - Yong-Tai Chen; Hong-Chuan Liao; Hui-Yun Tsai; Kai-Feng Chang; Chao-Tsung Huang (A-SSCC, 2024)

Falcon: A Fused-Layer Accelerator With Layer-Wise Hybrid Inference Flow for Computational Imaging CNNs. - Yong-Tai Chen; Yen-Ting Chiu; Hao-Jiun Tu; Chao-Tsung Huang (IEEE Trans. Very Large Scale Integr. Syst., 2025)