Jimmy Ming-Thai Wu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Jimmy Ming-Thai Wu trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Luca Di Persio
4. Huaizu Jiang
5. Geoffrey E. Hinton
6. Bang Xiang Yong
7. Jimmy Ba
8. Alberto Garcia-Garcia
9. Yoshua Bengio
10. Yann LeCun

Papers from Jimmy Ming-Thai Wu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. 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

• A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021) — 301 citations