Wei Tao

Artificial Intelligence · with Zhang · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it

Whom Wei Tao trusts overall

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

1. Erik Cambria
2. Soujanya Poria
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Diederik P. Kingma
8. Björn Schuller
9. Ilya Sutskever
10. Yann LeCun

Papers from Wei Tao's perspective

Ordered by how strongly the researchers Wei Tao 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022) — 552 citations