490 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- China University of GeosciencesCN22 papers
- University of FreiburgDE12 papers
- Chinese Academy of SciencesCN9 papers
- University of Naples Federico IIIT7 papers
- Beijing Normal UniversityCN5 papers
- University of GrazAT5 papers
- Wuhan UniversityCN5 papers
- Tsinghua UniversityCN4 papers
- University of Chinese Academy of SciencesCN4 papers
- Macau University of Science and TechnologyMO3 papers
- National Space Science CenterCN3 papers
- Nawi GrazAT3 papers
14 papers · 1 filter
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao, Yuebin Wang, Junhuan Peng +4
With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing…
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
Yun Cao, Jie Mei, Yuebin Wang +5
Subspace learning (SL) plays an important role in hyperspectral image (HSI) classification, since it can provide an effective solution to reduce the redundant information in the im…
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Xiaoman Qi, PanPan Zhu, Yuebin Wang +7
To better understand scene images in the field of remote sensing, multi-label annotation of scene images is necessary. Moreover, to enhance the performance of deep learning models…
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs
Gang Mei, Jingzhi Tu, Lei Xiao +1
Clustering analysis has been widely used in trust evaluation on various complex networks such as wireless sensors networks and online social networks. Spectral clustering is one of…
An Energy Efficient Authentication Scheme using Chebyshev Chaotic Map for Smart Grid Environment
Liping Zhang, Yue Zhu, Wei Ren +2
As one of the important applications of Smart grid, charging between electric vehicles has attracted much attention. However, authentication between vehicle users and an aggregator…
A staggered-projection Godunov-type method for the Baer-Nunziato two-phase model
Xin Lei, Jiequan Li
When describing the deflagration-to-detonation transition in solid granular explosives mixed with gaseous products of combustion, a well-developed two-phase mixture model is the co…
Characteristics and applications of interplanetary coronal mass ejection composition
Hongqiang Song, Shuo Yao
In situ measurements of interplanetary coronal mass ejection (ICME) composition, including elemental abundances and charge states of heavy ions, open a new avenue to study coronal…
Modeling the 10 September 2017 solar energetic particle event using the iPATH model
Zhe-Yi Ding, Gang Li, Jun-Xiang Hu +1
On September 10 2017, a fast coronal mass ejection (CME) erupted from the active region (AR) 12673, leading to a ground level enhancement (GLE) event at Earth. Using the 2D improve…
Towards Robust Crowdsourcing-Based Localization: A Fingerprinting Accuracy Indicator Enhanced Wireless/Magnetic/Inertial Integration Approach
You Li, Zhe He, Zhouzheng Gao +3
The next-generation internet of things (IoT) systems have an increasingly demand on intelligent localization which can scale with big data without human perception. Thus, tradition…
Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
You Li, Xin Hu, Yuan Zhuang +3
Location is key to spatialize internet-of-things (IoT) data. However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i.e., localization without…
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation
You Li, Yuan Zhuang, Xin Hu +12
The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to…
Study of the Modified Gaussian Model on olivine diagnostic spectral features and its applications in space weathering experiments
Hui-Jie Han, Xiao-Ping Lu, Ya-Zhou Yang +2
The absorption features of olivine in visible and near-infrared (VNIR) reflectance spectra are the key spectral parameters in its mineralogical studies. Generally, these spectral p…
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Kaifeng Gao, Gang Mei, Francesco Piccialli +3
Machine learning is driving development across many fields in science and engineering. A simple and efficient programming language could accelerate applications of machine learning…
juSFEM: A Julia-based Open-source Package of Parallel Smoothed Finite Element Method (S-FEM) for Elastic Problems
Zenan Huo, Gang Mei, Nengxiong Xu
The Smoothed Finite Element Method (S-FEM) proposed by Liu G.R. can achieve more accurate results than the conventional FEM. Currently, much commercial software and many open-sourc…