Xiaoyuan Liang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 7 citations into it
• Building and Construction — 6 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Xiaoyuan Liang trusts overall

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

1. Diederik P. Kingma
2. Sebastian Ruder
3. David Silver
4. Kaiming He
5. Tom Schaul
6. Richard S. Sutton
7. Hado van Hasselt
8. Wade Genders
9. Jimmy Ba
10. Geoffrey E. Hinton

Papers from Xiaoyuan Liang's perspective

Ordered by how strongly the researchers Xiaoyuan Liang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Deep Reinforcement Learning Network for Traffic Light Cycle Control (2018) — 507 citations