Yan Liang

Computer Vision and Pattern Recognition · Nature Plants · 2013–2022

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

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Media Technology — 8 citations into it

Whom Yan Liang trusts overall

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

1. Bernhard Schölkopf
2. Songcan Chen
3. Stelios Krinidis
4. Charless C. Fowlkes
5. Alex Krizhevsky
6. Geoffrey E. Hinton

Who trusts Yan Liang overall

1. Tao Lei
2. Jia Liu

Papers from Yan Liang's perspective

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

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

Their papers

• High-plex imaging of RNA and proteins at subcellular resolution in fixed tissue by spatial molecular imaging. (2022) — 648 citations
• Deep convolutional neural networks for diabetic retinopathy detection by image classification (2018) — 424 citations
• Neglecting legumes has compromised human health and sustainable food production (2016) — 735 citations
• Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation (2013) — 624 citations