David He

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Control and Systems Engineering — 8 citations into it; #2,002 of 8,257 by trust here, #3,255 by citations

Whom David He trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Andrew L. Maas
4. Yoshua Bengio
5. Enrico Zio
6. Jimmy Ba
7. Yann LeCun
8. Dumitru Erhan
9. Alex Krizhevsky
10. Aaron C. Courville

Who trusts David He overall

1. Shen Zhang
2. Shibo Zhang
3. Cheng-Geng Huang
4. Bingnan Wang

Papers from David He's perspective

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

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

Their papers

• Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components (2018) — 417 citations
• Deep Learning Based Approach for Bearing Fault Diagnosis (2017) — 421 citations
• Gear Health Threshold Setting Based On a Probability of False Alarm (2011) — 47 citations