Mingyang Ling

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 18 citations into it
• Natural Language Processing — 7 citations into it

Whom Mingyang Ling trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton

Papers from Mingyang Ling's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Scene Graph Generation With External Knowledge and Image Reconstruction (2019) — 321 citations