An Efficient Stochastic Convolution Accelerator based on Pseudo-Sobol Sequences. - Aokun Hu; Wenjie Li 003; Dongxu Lv; Guanghui He (NANOARCH, 2022)

Low-Complexity Precision-Scalable Multiply-Accumulate Unit Architectures for Deep Neural Network Accelerators. - Wenjie Li 003; Aokun Hu; Gang Wang 063; Ningyi Xu; Guanghui He (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Hardware-oriented algorithms for softmax and layer normalization of large language models. - Wenjie Li 003; Dongxu Lyu; Gang Wang 063; Aokun Hu; Ningyi Xu; Guanghui He (Sci. China Inf. Sci., 2024)

A Precision-Scalable Deep Neural Network Accelerator With Activation Sparsity Exploitation. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Quantization and Hardware Architecture Co-Design for Matrix-Vector Multiplications of Large Language Models. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

CoDA: A Co-Design Framework for Versatile and Efficient Attention Accelerators. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Computers, 2024)