Zhong Y. Wan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Model Architectures — 5 citations into it

Whom Zhong Y. Wan trusts overall

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

1. Alex Graves
2. J. Urgen Schmidhuber
3. Andrew J. Majda
4. Diederik P. Kingma
5. Hayden Schaeffer
6. Floris Takens
7. Yoshua Bengio
8. Steven L. Brunton
9. Xavier Glorot
10. J. Nathan Kutz

Papers from Zhong Y. Wan's perspective

Ordered by how strongly the researchers Zhong Y. Wan 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Understanding the difficulty of training deep feedforward neural networks
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks (2018) — 561 citations