Changran Hu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 11 citations into it
• Signal Processing — 10 citations into it

Whom Changran Hu trusts overall

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

1. Diederik P. Kingma
2. J. Urgen Schmidhuber
3. Olof Mogren
4. Witold Pedrycz
5. Sepp Hochreiter
6. Douglas Eck
7. Geoffrey E. Hinton
8. Jimmy Ba
9. Yoshua Bengio
10. Jiwei Li

Papers from Changran Hu's perspective

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

1. Long Short-Term Memory
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. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Hierarchical Recurrent Neural Network for Symbolic Melody Generation (2017) — 95 citations