Quantization of Deep Neural Network Models Considering Per-Layer Computation Complexity for Efficient Execution in Multi-Precision Accelerators. - Shen-Fu Hsiao; Yu-Che Yen (ICCE-TW, 2021)

Efficient Quantization and Multi-Precision Design of Arithmetic Components for Deep Learning. - Shen-Fu Hsiao; Yu-Chang Chen; Yu-Che Yen (ISCAS, 2021)

Dynamically Swappable Digit-Serial Multi-Precision Deep Neural Network Accelerator with Early Termination. - Shen-Fu Hsiao; Hung-Ching Li; Yu-Che Yen; Po-Chang Li (ISCAS, 2022)