Lingheng Meng

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Lingheng Meng trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Yann LeCun
4. Geoffrey E. Hinton
5. Marc'Aurelio Ranzato
6. Andrew Y. Ng
7. Pascal Vincent
8. Hugo Larochelle
9. Adam Coates
10. B. Chandra

Papers from Lingheng Meng's perspective

Ordered by how strongly the researchers Lingheng Meng 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Research on denoising sparse autoencoder (2016) — 61 citations