Yiwen 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 Yiwen 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

Papers from Yiwen Zhao's perspective

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

Their papers

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