Ziyan Wang

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it; #21,035 of 35,345 by trust here, #16,166 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #13,090 of 21,575 by trust here, #10,905 by citations
• Generative Models — 5 citations into it
• Robotics & Control — 5 citations into it

Whom Ziyan Wang trusts overall

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

1. Volodymyr Mnih
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Fisher Yu
5. Diederik P. Kingma
6. Sergey Levine
7. Yoshua Bengio
8. Kaiming He
9. Yann LeCun
10. X. Wang

Who trusts Ziyan Wang overall

1. Shansi Zhang
2. Jack Stilgoe
3. Douwe van der Wal

Papers from Ziyan Wang's perspective

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

Their papers

• Virtual to Real Reinforcement Learning for Autonomous Driving (2017) — 356 citations