Xin Huang

Artificial Intelligence · with Dai · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #29,770 of 35,345 by trust here, #16,166 by citations
• Safety, Robustness & Interpretability — 9 citations into it; #2,064 of 2,251 by trust here, #1,404 by citations

Whom Xin Huang trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Hanjun Dai
8. Ilya Sutskever
9. Yann LeCun
10. Thomas Kipf

Who trusts Xin Huang overall

1. Daniel Zügner

Papers from Xin Huang's perspective

Ordered by how strongly the researchers Xin Huang 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Intriguing properties of neural networks

Their papers

• Adversarial Attack on Graph Structured Data (2018) — 894 citations