Yinhai Wang

Control and Systems Engineering · with Wang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 18 citations into it; #7,705 of 8,257 by trust here, #7,501 by citations
• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Safety, Risk, Reliability and Quality — 8 citations into it
• Building and Construction — 7 citations into it
• Transportation — 6 citations into it

Whom Yinhai Wang trusts overall

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

1. Diederik P. Kingma
2. Martin Treiber
3. Richard S. Sutton
4. Alex Krizhevsky
5. Yuxi Li
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Marcello Montanino
9. Vincenzo Punzo
10. Andrew Barto

Who trusts Yinhai Wang overall

1. Szilárd Aradi

Papers from Yinhai Wang's perspective

Ordered by how strongly the researchers Yinhai 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. Human-level control through deep reinforcement learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving (2019) — 419 citations
• Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning (2018) — 494 citations