Lizhi Wang

Artificial Intelligence · with Khaki · 2019

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Model Architectures — 15 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Optimization & Training — 13 citations into it
• Plant Science — 11 citations into it; #5,147 of 8,232 by trust here, #5,737 by citations

Whom Lizhi Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Andrew Y. Ng
4. Xavier Glorot
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Christian Szegedy
8. Yann LeCun
9. Robert Tibshirani
10. Kaiming He

Who trusts Lizhi Wang overall

1. Saeed Khaki

Papers from Lizhi Wang's perspective

Ordered by how strongly the researchers Lizhi Wang 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. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Crop Yield Prediction Using Deep Neural Networks (2019) — 757 citations
• A CNN-RNN Framework for Crop Yield Prediction (2019) — 612 citations