Jian-xun Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #31,459 of 35,345 by trust here, #21,878 by citations
• Model Architectures — 18 citations into it

Whom Jian-xun Zhang trusts

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

1. J. Urgen Schmidhuber (in Model Architectures)

Who trusts Jian-xun Zhang

1. Rania Kora (in Artificial Intelligence)
2. Ammar Mohammed (in Artificial Intelligence)

Papers from Jian-xun Zhang's perspective

Ordered by how strongly the researchers Jian-xun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures (2019) — 5,068 citations