Le Yang

Artificial Intelligence · with Mihaylova · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Control and Systems Engineering — 9 citations into it
• Signal Processing — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Le Yang trusts overall

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

1. Manfred Opper
2. Duy Nguyen-Tuong
3. Mauricio A Álvarez
4. Zoubin Ghahramani
5. Radford M. Neal
6. Matthias W. Seeger
7. Matthew J. Beal
8. Carl E. Rasmussen
9. Phillip Boyle
10. Neil D. Lawrence

Who trusts Le Yang overall

1. Tim G. J. Rudner
2. Freddie Bickford-Smith

Papers from Le Yang's perspective

Ordered by how strongly the researchers Le Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Online Sparse Multi-Output Gaussian Process Regression and Learning (2019) — 32 citations