23 citations · 70 across the 10 of their papers we have counts for
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eess.SP2018★ 23 cited
MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications
Baohua Sun, Daniel Liu, Leo Yu +4
We designed a device for Convolution Neural Network applications with non-volatile MRAM memory and computing-in-memory co-designed architecture. It has been successfully fabricated…
cs.CL2018★ 3 cited
Super Characters: A Conversion from Sentiment Classification to Image Classification
Baohua Sun, Lin Yang, Patrick Dong +3
We propose a method named Super Characters for sentiment classification. This method converts the sentiment classification problem into image classification problem by projecting t…
cs.CV2018★ 2 cited
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
Baohua Sun, Lin Yang, Patrick Dong +3
Computer vision performances have been significantly improved in recent years by Convolutional Neural Networks(CNN). Currently, applications using CNN algorithms are deployed mainl…