Lili He

Cognitive Neuroscience · 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 Lili He 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

Papers from Lili He's perspective

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

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

Their papers

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