FPGA-NHAP: A General FPGA-Based Neuromorphic Hardware Acceleration Platform With High Speed and Low Power. - Yijun Liu 005; Yuehai Chen; Wujian Ye; Yu Gui (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

The Implementation and Optimization of Neuromorphic Hardware for Supporting Spiking Neural Networks With MLP and CNN Topologies. - Wujian Ye; Yuehai Chen; Yijun Liu 005 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

The High-Performance Design of a General Spiking Convolution Computation Unit for Supporting Neuromorphic Hardware Acceleration. - Yuehai Chen; Yijun Liu 005; Wujian Ye; Chin-Chen Chang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

MRA-IDN: A Lightweight Super-Resolution Framework of Remote Sensing Images Based on Multiscale Residual Attention Fusion Mechanism. - Wujian Ye; Bili Lin; Junming Lao; Yijun Liu 005; Zhenyi Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

SiBrain: A Sparse Spatio-Temporal Parallel Neuromorphic Architecture for Accelerating Spiking Convolution Neural Networks With Low Latency. - Yuehai Chen; Wujian Ye; Yijun Liu 005; Huihui Zhou (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

SConvNSys: Accelerating Spiking Convolutional Neural Networks With a Reconfigurable Neuromorphic Architecture for Diverse Applications. - Wujian Ye; Yingzhang Liang; Yijun Liu 005; Youfeng Cui; Yuehai Chen; Wenjie Lin (IEEE Trans. Very Large Scale Integr. Syst., 2026)