Shaohan Hu

Computer Vision and Pattern Recognition · 2016

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

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 9 citations into it

Whom Shaohan Hu trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Sergey Ioffe
5. Ilya Sutskever
6. Yann LeCun
7. Dzmitry Bahdanau
8. Nicholas Donald Lane
9. Alex Krizhevsky
10. Christian Szegedy

Who trusts Shaohan Hu overall

1. Yi Zhang
2. Yue Zheng
3. Md Maruf Hossain Shuvo

Papers from Shaohan Hu's perspective

Ordered by how strongly the researchers Shaohan Hu 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. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing (2016) — 709 citations