Liang Xiao

Media Technology · with Liu · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Media Technology — 25 citations into it; #3,307 of 3,621 by trust here, #1,696 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #20,190 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 10 citations into it
• Biomedical Engineering — 6 citations into it

Whom Liang Xiao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shutao Li
2. Xiaoxiang Zhu
3. Diederik P. Kingma
4. Pascal Vincent
5. Vijay P. Shah
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Pedro F. Felzenszwalb
9. Claire Thomas
10. Andrea Vedaldi

Who trusts Liang Xiao overall

1. Liangpei Zhang
2. John E. Ball
3. Frosti Palsson
4. Alberto Signoroni
5. Francois P. S. Luus
6. Junfeng Yang
7. Jiaxin Li
8. Xiaoxiang Zhu
9. Yancong Wei
10. Lefei Zhang

Papers from Liang Xiao's perspective

Ordered by how strongly the researchers Liang Xiao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification (2020) — 358 citations
• A New Pan-Sharpening Method With Deep Neural Networks (2015) — 303 citations