Zhi Xie

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Molecular Biology — 36 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Optimization & Training — 19 citations into it
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Zhi Xie trusts overall

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

1. Geoffrey E. Hinton
2. Paul J. Werbos
3. Alex Graves
4. Yoshua Bengio

Papers from Zhi Xie's perspective

Ordered by how strongly the researchers Zhi Xie 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Going deeper with convolutions
6. Dropout: a simple way to prevent neural networks from overfitting
7. A Fast Learning Algorithm for Deep Belief Nets
8. This PDF file includes: Materials and Methods
9. Learning Deep Architectures for AI
10. Greedy Layer-Wise Training of Deep Networks

Their papers

• Deep Learning and Its Applications in Biomedicine (2018) — 524 citations
• MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads (2017) — 353 citations