169 citations · 799 across the 43 of their papers we have counts for
12 papers · 1 filter
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang
As efficient traffic-management platforms, public vehicle (PV) systems are envisioned to be a promising approach to solving traffic congestions and pollutions for future smart citi…
Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang
Public vehicle (PV) systems are promising transportation systems for future smart cities which provide dynamic ride-sharing services according to passengers' requests. PVs are driv…
Multidimensional Data Tensor Sensing for RF Tomographic Imaging
Tao Deng, Xiao-Yang Liu, Feng Qian +1
Radio-frequency (RF) tomographic imaging is a promising technique for inferring multi-dimensional physical space by processing RF signals traversed across a region of interest. How…
A Tensor Completion Approach for Efficient and Robust Fingerprint-based Indoor Localization
Yu Zhang, Xiao-Yang Liu
The localization technology is important for the development of indoor location-based services (LBS). The radio frequency (RF) fingerprint-based localization is one of the most pro…
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu +1
Localization technology is important for the development of indoor location-based services (LBS). Global Positioning System (GPS) becomes invalid in indoor environments due to the…
Fourth-order Tensors with Multidimensional Discrete Transforms
Xiao-Yang Liu, Xiaodong Wang
The big data era is swamping areas including data analysis, machine/deep learning, signal processing, statistics, scientific computing, and cloud computing. The multidimensional fe…
3D seismic data denoising using two-dimensional sparse coding scheme
Ming-Jun Su, Jingbo Chang, Feng Qian +2
Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques. However, it is challenging to design…
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Feng Qian, Miao Yin, Ming-Jun Su +2
Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs. Therefore, we are increasingly inclined to use prestack seismic data f…
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Feng Qian, Quan Chen, Ming-Jun Su +2
Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor compl…
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination
Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1
Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning. However, conventional SC vectorizes the input images, wh…
Graph Regularized Tensor Sparse Coding for Image Representation
Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1
Sparse coding (SC) is an unsupervised learning scheme that has received an increasing amount of interests in recent years. However, conventional SC vectorizes the input images, whi…
Search Engine Drives the Evolution of Social Networks
Cai Fu, Chenchen Peng, Xiao-Yang Liu
The search engine is tightly coupled with social networks and is primarily designed for users to acquire interested information. Specifically, the search engine assists the informa…