Jia He

Artificial Intelligence · 2 papers · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #32,484 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jia He trusts overall

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

1. Charles Blundell
2. Ali Mamdouh Elkahky
3. Geoffrey E. Hinton
4. Julien Cornebise
5. Koray Kavukcuoglu
6. Sheng Gao
7. David G. Lowe
8. Bin Li
9. Mark Dredze
10. Ruslan Salakhutdinov

Who trusts Jia He overall

1. Mohammad Rostami

Papers from Jia He's perspective

Ordered by how strongly the researchers Jia He 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Multitask Learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A General Cross-Domain Recommendation Framework via Bayesian Neural Network (2018) — 37 citations
• Collaborating between Local and Global Learning for Distributed Online Multiple Tasks (2015) — 22 citations