Enhao Gong

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it

Whom Enhao Gong trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Xavier Glorot
8. Ilya Sutskever
9. Christian Szegedy
10. Sergey Ioffe

Who trusts Enhao Gong overall

1. Arvid Lundervold
2. Liyue Shen

Papers from Enhao Gong's perspective

Ordered by how strongly the researchers Enhao Gong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Generative Adversarial Networks for Compressed Sensing Automates MRI (2017) — 164 citations
• Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI (2018) — 305 citations
• Deep Learning in Neuroradiology (2018) — 234 citations
• Quantitative susceptibility mapping using deep neural network: QSMnet (2018) — 182 citations
• Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI (2018) — 552 citations
• DSD: Dense-Sparse-Dense Training for Deep Neural Networks (2016) — 219 citations