Y
Yuebin Wang
Researcher at China University of Geosciences (Beijing)
Publications - 46
Citations - 929
Yuebin Wang is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: Feature extraction & Deep learning. The author has an hindex of 13, co-authored 37 publications receiving 535 citations. Previous affiliations of Yuebin Wang include Beijing Normal University.
Papers
More filters
Journal ArticleDOI
A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification
Zhenxin Zhang,Liqiang Zhang,Xiaohua Tong,P. Takis Mathiopoulos,Bo Guo,Xianfeng Huang,Zhen Wang,Yuebin Wang +7 more
TL;DR: A novel framework is presented for effectively extracting the shape features of objects from an ALS point cloud, and then, it is used to classify large and small objects in a point cloud.
Journal ArticleDOI
A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval
Yuebin Wang,Liqiang Zhang,Xiaohua Tong,Liang Zhang,Zhenxin Zhang,Hao Liu,Xiaoyue Xing,P. Takis Mathiopoulos +7 more
TL;DR: A novel graph-based learning method for effectively retrieving remote sensing images that integrates the strengths of query expansion and fusion of holistic and local features and significantly enhances the retrieval precision without sacrificing the scalability.
Proceedings ArticleDOI
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds
TL;DR: Wang et al. as mentioned in this paper proposed a 3DCNN-DQN-RNN method which fuses the 3D convolutional neural network (CNN), Deep Q-Network (DQNN), and Residual recurrent neural network(RNN) for an efficient semantic parsing of large-scale 3D point clouds.
Journal ArticleDOI
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Xiaoman Qi,Panpan Zhu,Panpan Zhu,Yuebin Wang,Liqiang Zhang,Junhuan Peng,Mengfan Wu,Jialong Chen,Xudong Zhao,Ning Zang,P. Takis Mathiopoulos +10 more
TL;DR: A multi-label high spatial resolution remote sensing dataset named MLRSNet is constructed for semantic scene understanding with deep learning from the overhead perspective and it complements the current widely used datasets such as ImageNet, which fills gaps in multi- label image research.
Journal ArticleDOI
Air pollution exposure associates with increased risk of neonatal jaundice.
Liqiang Zhang,Weiwei Liu,Kun Hou,Jintai Lin,Changqing Song,Chenghu Zhou,Bo Huang,Xiaohua Tong,Jinfeng Wang,William D. Rhine,Ying Jiao,Ziwei Wang,Ruijing Ni,Mengyao Liu,Liang Zhang,Ziye Wang,Yuebin Wang,Xingang Li,Suhong Liu,Yanhong Wang +19 more
TL;DR: It is reported that maternal and neonatal exposure to particulate matter increases the risk of neonatal jaundice based on the study of 25,782 newborns born in China between 2014 and 2017 and positive relationship between maternal exposure and newborn bilirubin level is quantitated.