Liang Wang

Artificial Intelligence · with Yang · 2017

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #31,589 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 24 citations into it

Whom Liang Wang trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Christian Szegedy
4. Ross B. Girshick
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Alex Krizhevsky

Who trusts Liang Wang overall

1. Arvid Lundervold

Papers from Liang Wang's perspective

Ordered by how strongly the researchers Liang 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. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks (2017) — 154 citations
• Co‐trained convolutional neural networks for automated detection of prostate cancer in multi‐parametric MRI (2017) — 143 citations
• Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning (2017) — 186 citations