Jiexiong Tang

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #15,147 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 21 citations into it; #16,657 of 35,345 by trust here, #16,771 by citations
• Representation & Self-Supervised Learning — 12 citations into it

Whom Jiexiong Tang trusts overall

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

1. Geoffrey E. Hinton
2. G. Huang
3. Yoshua Bengio
4. Nitish Srivastava
5. Pascal Vincent
6. Yann LeCun
7. Hugo Larochelle
8. David G. Lowe
9. Radford M. Neal
10. Alex Krizhevsky

Who trusts Jiexiong Tang overall

1. Zikun Liu
2. C. L. Philip Chen
3. Liangpei Zhang
4. Varun Ojha
5. Urska Kanjir
6. Chen Wei
7. John E. Ball
8. Shangce Gao
9. Zhengxia Zou
10. Xiaoxiang Zhu

Papers from Jiexiong Tang's perspective

Ordered by how strongly the researchers Jiexiong Tang 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Extreme Learning Machine for Multilayer Perceptron (2016) — 1,341 citations
• Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine (2015) — 378 citations