38 citations · 115 across the 8 of their papers we have counts for
4 papers · 1 filter
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications
Sicong Liu, Bin Guo, Ke Ma +2
There are many deep learning (e.g., DNN) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of hu…
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
Sicong Liu, Junzhao Du, Anshumali Shrivastava +1
The remarkable success of machine learning has fostered a growing number of cloud-based intelligent services for mobile users. Such a service requires a user to send data, e.g. ima…
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Sicong Liu, Junzhao Du, Kaiming Nan +3
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a tremendously growing demand for bringing DNN-powered intelligence into mobile platforms. While the potential of de…
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network
Sicong Liu, Anshumali Shrivastava, Junzhao Du +1
The remarkable success of machine learning, especially deep learning, has produced a variety of cloud-based services for mobile users. Such services require an end user to send dat…