J. Zhao

Computer Vision and Pattern Recognition · with Chen · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 18 citations into it; #22,685 of 35,345 by trust here, #15,542 by citations
• Signal Processing — 18 citations into it; #4,684 of 7,572 by trust here, #2,457 by citations
• Economics and Econometrics — 6 citations into it
• Model Architectures — 5 citations into it

Whom J. Zhao trusts overall

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

1. Yann LeCun
2. Eamonn J. Keogh
3. Yoshua Bengio
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. L. Eon Bottou
8. Lexiang Ye
9. Honglak Lee
10. Koray Kavukcuoglu

Who trusts J. Zhao overall

1. Cornelis W. Oosterlee
2. Sander M. Bohte
3. Anastasia Borovykh
4. Tim Oates
5. Zhiguang Wang

Papers from J. Zhao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Exploiting multi-channels deep convolutional neural networks for multivariate time series classification (2015) — 267 citations
• Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks (2014) — 640 citations