R. Jiang

Artificial Intelligence · with Wang · 2018

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 — 7 citations into it
• Control and Systems Engineering — 6 citations into it

Whom R. Jiang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yann LeCun
4. Martin Treiber
5. Yoshua Bengio
6. David E. Rumelhart
7. Radford M. Neal
8. Jimmy Ba
9. Kyunghyun Cho
10. J. Urgen Schmidhuber

Papers from R. Jiang's perspective

Ordered by how strongly the researchers R. Jiang 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. A Fast Learning Algorithm for Deep Belief Nets
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Capturing Car-Following Behaviors by Deep Learning (2018) — 308 citations