Area of research
Electrical and Electronic Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Memory and Neural Computing, CCD and CMOS Imaging Sensors, Ferroelectric and Negative Capacitance Devices, and Advanced Vision and Imaging.
An FPGA-Based Event-Driven SNN Accelerator for DVS Applications With Structured Sparsity and Early-Stop
COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bipolar Bitwise Sparsity Optimization for Scalable Multi-Chiplet-Module Edge Machine Learning
An efficient non-convex total variation approach for image deblurring and denoising
<i>Uni-OPU</i>: An FPGA-Based Uniform Accelerator for Convolutional and Transposed Convolutional Networks
Optimization of mine ventilation network feature graph