38 citations · 115 across the 8 of their papers we have counts for
8 papers
Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective
Younan Mou, Sicong Liu
The underwater propagation environment for visible light signals is affected by complex factors such as absorption, shadowing, and reflection, making it very challengeable to achie…
Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework
Xianyao Wang, Sicong Liu
In this paper, a compressed sensing (CS) based framework of multi-target cooperative visible light positioning (VLP) is formulated to realize simultaneous highaccuracy localization…
TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples
Jiahui Cheng, Bin Guo, Jiaqi Liu +4
Surface defect detection plays an increasingly important role in manufacturing industry to guarantee the product quality. Many deep learning methods have been widely used in surfac…
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…
Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach
Sicong Liu, Liang Xiao, Zhu Han +1
Narrowband internet-of-things (NB-IoT) is a competitive 5G technology for massive machine-type communication scenarios, but meanwhile introduces narrowband interference (NBI) to ex…
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…