activity
20192024
most citedPrivacy Adversarial Network: Representation Learning for Mobile Data Privacy

37 citations · 76 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 1 cited

UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models

Zhuoyang Li, Liran Deng, Hui Liu +2

OwnThink stands as the most extensive Chinese open-domain knowledge graph introduced in recent times. Despite prior attempts in question answering over OwnThink (OQA), existing stu…

cs.LG2021★ 22 cited

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…

cs.LG2020★ 37 cited

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…

cs.LG2020★ 3 cited

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…

cs.LG2019★ 13 cited

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…