Hau Chan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Sociology and Political Science — 5 citations into it

Whom Hau Chan trusts overall

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

1. Matthew S. Gerber
2. Diederik P. Kingma
3. Martin J. Wainwright
4. Judy Hoffman
5. Ian R. White
6. Michael I. Jordan

Papers from Hau Chan's perspective

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

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

Their papers

• Partially Generative Neural Networks for Gang Crime Classification with Partial Information (2018) — 16 citations