Wan Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Molecular Biology — 20 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Wan Zhu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Jerome H. Friedman
4. J. Ross Quinlan
5. Mohammed Alquraishi
6. Kaiming He
7. Oriol Vinyals
8. Alex Krizhevsky
9. Yann LeCun
10. Ilya Sutskever

Papers from Wan Zhu's perspective

Ordered by how strongly the researchers Wan Zhu 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
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

• The Application of Deep Learning in Cancer Prognosis Prediction (2020) — 316 citations
• Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV (2020) — 660 citations