Xingang Zhao

Artificial Intelligence · with Xiong · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Biomedical Engineering — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 6 citations into it

Whom Xingang Zhao trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Jeffrey L. Elman
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Judy Hoffman
8. Marc'Aurelio Ranzato
9. Kaiming He
10. Diederik P. Kingma

Papers from Xingang Zhao's perspective

Ordered by how strongly the researchers Xingang Zhao 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Learning for EMG-based Human-Machine Interaction: A Review (2021) — 355 citations