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Guodong Wu
Researcher at Beijing University of Chemical Technology
Publications - 5
Citations - 941
Guodong Wu is an academic researcher from Beijing University of Chemical Technology. The author has contributed to research in topics: Convolutional neural network & Pixel. The author has an hindex of 3, co-authored 3 publications receiving 618 citations.
Papers
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Journal ArticleDOI
Hyperspectral Image Classification Using Deep Pixel-Pair Features
TL;DR: Experimental results based on several hyperspectral image data sets demonstrate that the proposed pixel-pair method can achieve better classification performance than the conventional deep learning-based method.
Journal ArticleDOI
Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery
Wei Li,Guodong Wu,Qian Du +2 more
TL;DR: Experimental performance demonstrates that the proposed anomaly detection framework with transferred deep convolutional neural network outperforms the classic Reed-Xiaoli and the state-of-the-art representation-based detectors, such as sparse representation-Based detector (SRD) and collaborative representation- based detector.
Proceedings ArticleDOI
Transferred deep learning for hyperspectral target detection
Wei Li,Guodong Wu,Qian Du +2 more
TL;DR: An interesting target detection framework with transferred deep convolutional neural network (CNN) that outperforms the classic detectors.
Journal ArticleDOI
Preference-Aware Light Graph Convolution Network for Social Recommendation
Haoyu Xu,Guodong Wu,Lijing Tu +2 more
TL;DR: Zhang et al. as discussed by the authors proposed a preference-aware light graph convolutional network (PLGCN), which contains a subgraph construction module using unsupervised learning to classify users according to their embeddings and then assign users with similar preferences to a sub-graph to filter useless or even negative messages from users with different preferences to attain even better recommendation performance.