Lei Zhou

Analytical Chemistry · with Qiu · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 11 citations into it
• Biomedical Engineering — 9 citations into it

Whom Lei Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Gamal ElMasry
6. Yann LeCun
7. J. Urgen Schmidhuber
8. Karen Simonyan
9. Ilya Sutskever
10. Alex Graves

Papers from Lei Zhou's perspective

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

Their papers

• Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021) — 57 citations
• Application of Deep Learning in Food: A Review. (2019) — 469 citations