Ming Wang

Artificial Intelligence · with Liu · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Ming Wang trusts overall

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

1. Robert M. O’Brien
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Simon S. Haykin
5. Geoffrey E. Hinton
6. Khan Muhammad
7. Ilya Sutskever
8. Jimmy Ba
9. J. Urgen Schmidhuber
10. Yoshua Bengio

Papers from Ming Wang's perspective

Ordered by how strongly the researchers Ming Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. This PDF file includes: Materials and Methods
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China (2019) — 320 citations