Jie He

Artificial Intelligence · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Information Systems — 14 citations into it
• Recommender Systems — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Jie He trusts overall

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

1. Steffen Rendle
2. Yoshua Bengio
3. Dekang Lin

Papers from Jie He's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
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

• Learning Tree-based Deep Model for Recommender Systems (2018) — 346 citations