Lihong Hu

2003

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Lihong Hu trusts overall

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

1. Yann LeCun
2. Yoshua Bengio

Who trusts Lihong Hu overall

1. Patrick Rinke
2. Justin Gilmer
3. Grgoire Montavon
4. Abdallah Qteish
5. Matthias Rupp 
6. Pavlo O. Dral
7. von Lilienfeld
8. Sam Schoenholz
9. Jörg Neugebauer

Papers from Lihong Hu's perspective

Ordered by how strongly the researchers Lihong Hu 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Combined first-principles calculation and neural-network correction approach for heat of formation (2003) — 114 citations
• A generalized exchange-correlation functional: the Neural-Networks approach ☆ (2003) — 54 citations