Zheng Kuang

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 10 citations into it

Whom Zheng Kuang trusts overall

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

1. L. Eon Bottou

Papers from Zheng Kuang's perspective

Ordered by how strongly the researchers Zheng Kuang 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. Dropout: a simple way to prevent neural networks from overfitting
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
6. Caffe: Convolutional Architecture for Fast Feature Embedding
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning (2017) — 322 citations