Xia Hu

Artificial Intelligence · with Ji · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #23,094 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Molecular Biology — 8 citations into it
• Biophysics — 5 citations into it

Whom Xia Hu trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Matthew D. Zeiler
4. Geoffrey E. Hinton
5. Richard S. Sutton
6. Andrea Vedaldi
7. Yoshua Bengio
8. Alex Krizhevsky
9. Jimmy Ba
10. Rob Fergus

Who trusts Xia Hu overall

1. Hao Yuan
2. Andreas Holzinger

Papers from Xia Hu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• XGNN: Towards Model-Level Explanations of Graph Neural Networks (2020) — 498 citations