Qi Shi

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Qi Shi trusts overall

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

1. Geoffrey E. Hinton

Who trusts Qi Shi overall

1. Bo Lang
2. Hongyu Liu

Papers from Qi Shi's perspective

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

1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2. Deep Learning
3. Random Forests
4. Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)

Their papers

• A Deep Learning Approach to Network Intrusion Detection (2018) — 1,484 citations