X. Wang

Computer Vision and Pattern Recognition · Transportation Research Part C: Emerging Technologies · 2008–2019

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Control and Systems Engineering — 18 citations into it; #7,707 of 8,257 by trust here, #7,501 by citations
• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 11 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 X. Wang trusts overall

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

1. Martin Treiber
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Richard S. Sutton
5. Geoffrey E. Hinton
6. Vincenzo Punzo
7. Jimmy Ba
8. Ilya Sutskever
9. Timothy P. Lillicrap
10. Tom Schaul

Who trusts X. Wang overall

1. Szilárd Aradi

Papers from X. Wang's perspective

Ordered by how strongly the researchers X. 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. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Human-level control through deep reinforcement learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving (2019) — 419 citations
• Deep learning for pixel-level image fusion: Recent advances and future prospects (2018) — 655 citations
• Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning (2018) — 494 citations
• Music therapy for depression. (2008) — 663 citations