9 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 9 cited
Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng +2
Entity alignment is a viable means for integrating heterogeneous knowledge among different knowledge graphs (KGs). Recent developments in the field often take an embedding-based ap…
cs.DC2019★ 1 cited
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores
Lu Yuan, Jie Ren, Ling Gao +2
The web has become a ubiquitous application development platform for mobile systems. Yet, web access on mobile devices remains an energy-hungry activity. Prior work in the field ma…
cs.LG2018★ 7 cited
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
Qing Qin, Jie Ren, Jialong Yu +6
The recent advances in deep neural networks (DNNs) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on resource-constrained…