Graph learning is becoming increasingly popular due to its superior performance in tackling
many grand challenges. While quantization is widely used to accelerate Graph Neural …

Finding the lineage of a research topic is crucial for understanding the prior state of the art
and advancing scientific displacement. The deluge of scholarly articles makes it difficult to …

Tensor-specialized hardware for supporting low-precision arithmetic has become an
inevitable trend due to the ever-increasing demand on computational capability and energy …

Convolutional neural network (CNN) has attracted extensive attention in the research field of
polarimetric synthetic aperture radar (PolSAR) terrain segmentation. However, directly using …

Training deep neural networks (DNNs) with half-precision floating-point formats is widely
supported on recent hardware and frameworks. However, current training approaches using …

Nowadays the use of drones in daily life is becoming more and more frequent. One
important service of drones is object detection which is used in surveillance and search-and …