Jie Cai

Artificial Intelligence · with Luo · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Molecular Biology — 15 citations into it

Whom Jie Cai trusts overall

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

1. Robert Tibshirani
2. Hui Zou
3. Charles M. Bishop
4. Igor Kononenko
5. Franccois Fleuret
6. Tin Kam Ho
7. Huan Liu
8. Isabelle M Guyon
9. Trevor J. Hastie
10. Daniela M. Witten

Papers from Jie Cai's perspective

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

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

Their papers

• Feature selection in machine learning: A new perspective (2018) — 1,812 citations