Jian Wu

Computer Vision and Pattern Recognition · with Hu · 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 Jian Wu trusts overall

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

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

Papers from Jian Wu's perspective

Ordered by how strongly the researchers Jian Wu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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