Liyan Wang

Computer Vision and Pattern Recognition · with Wang · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it

Whom Liyan Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Mingsheng Long
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Filippo Santambrogio
8. Diederik P. Kingma
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Liyan Wang's perspective

Ordered by how strongly the researchers Liyan Wang 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. Gradient-based learning applied to document recognition
4. ImageNet Large Scale Visual Recognition Challenge
5. GENERATIVE ADVERSARIAL NETS
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation (2020) — 161 citations