Yezhen Wang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 19 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Generative Models — 7 citations into it

Whom Yezhen Wang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Diederik P. Kingma
6. Max Welling
7. Kaiming He
8. Christian Szegedy
9. Ilya Sutskever
10. Radford M. Neal

Who trusts Yezhen Wang overall

1. Jingkang Yang

Papers from Yezhen Wang's perspective

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

Their papers

• Energy-Based Open-World Uncertainty Modeling for Confidence Calibration (2021) — 80 citations