Zhenhua Zhang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Zhenhua Zhang trusts overall

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

1. Alex Graves
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. David M. Blei
6. J. Urgen Schmidhuber
7. Yann LeCun
8. Andrew McCallum
9. Junbo Jake Zhao
10. Ingo Steinwart

Papers from Zhenhua Zhang's perspective

Ordered by how strongly the researchers Zhenhua Zhang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• A deep learning approach for detecting traffic accidents from social media data (2018) — 318 citations