Lintao Zhang — accepted AI-conference papers

2021

OpEvo: An Evolutionary Method for Tensor Operator Optimization

Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang

AAAI 2021technical

Training and inference efficiency of deep neural networks highly rely on the performance of tensor operators on hardware platforms. Manually optimizing tensor operators has limitations in terms of supporting new operators or hardware platforms. Therefore, automatically optimizing device code configu…

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2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang +2

CVPR 2019poster

In this paper we present a novel and general method to accelerate convolutional neural network (CNN) inference by taking advantage of feature map sparsity. We experimentally demonstrate that a highly quantized version of the original network is sufficient in predicting the output sparsity accurately…

Cited by 100 PDF ↗Scholar ↗