3 papers
eess.IV2019
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
Xin He, Shihao Wang, Shaohuai Shi +10
Skin disease is one of the most common types of human diseases, which may happen to everyone regardless of age, gender or race. Due to the high visual diversity, human diagnosis hi…
cs.DC2019
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
Yuxin Wang, Qiang Wang, Shaohuai Shi +4
Deep learning has become widely used in complex AI applications. Yet, training a deep neural network (DNNs) model requires a considerable amount of calculations, long running time,…
cs.LG2018
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference
Xin He, Liu Ke, Wenyan Lu +2
The intrinsic error tolerance of neural network (NN) makes approximate computing a promising technique to improve the energy efficiency of NN inference. Conventional approximate co…