Yao Xie

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Yao Xie trusts overall

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

1. Raymond Reiter
2. Josua Krause
3. Tania Lombrozo
4. Anind K. Dey
5. Zachary Chase Lipton
6. D. Norman
7. Tim Miller
8. Nicholas A. Diakopoulos
9. Neville Moray
10. Lucy Suchman

Who trusts Yao Xie overall

1. Erico Tjoa

Papers from Yao Xie's perspective

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

1. Visualizing and Understanding Convolutional Networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis (2019) — 45 citations