Lei Lin

Artificial Intelligence · with He · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Graph Learning — 5 citations into it

Whom Lei Lin trusts overall

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

1. Sandro Skansi
2. Sepp Hochreiter
3. Thomas Kipf
4. Tianqi Chen
5. Aliaksei Sandryhaila
6. Michaël Defferrard
7. Eric Brochu
8. Mathieu Bastian
9. Max Welling
10. J. Urgen Schmidhuber

Who trusts Lei Lin overall

1. Senzhang Wang
2. Jiannong Cao

Papers from Lei Lin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach (2017) — 418 citations