Hailong Li

Cognitive Neuroscience · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Hailong Li trusts overall

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

1. Martin Fodslette Møller
2. Olaf Sporns
3. E. Bullmore
4. Karen Simonyan
5. Mikail Rubinov
6. L. Eon Bottou
7. Mingrui Xia
8. Geoffrey E. Hinton
9. Junghoe Kim
10. G. Fiquet

Who trusts Hailong Li overall

1. Arvid Lundervold

Papers from Hailong Li's perspective

Ordered by how strongly the researchers Hailong Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
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

• A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes (2018) — 152 citations