Wenkai Xu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Statistical Learning Theory — 11 citations into it
• Statistics and Probability — 10 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Wenkai Xu trusts overall

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

1. Arthur Gretton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Christopher K. I. Williams
6. Bharath K. Sriperumbudur
7. Bernhard Schölkopf
8. Antonio Torralba
9. Yoshua Bengio
10. Kenji Fukumizu

Papers from Wenkai Xu's perspective

Ordered by how strongly the researchers Wenkai Xu 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning Deep Kernels for Non-Parametric Two-Sample Tests (2020) — 225 citations