Shaohua Fan

Artificial Intelligence · 2019–2020

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

Subfields

• Artificial Intelligence — 73 citations into it
• Statistical and Nonlinear Physics — 34 citations into it

Whom Shaohua Fan trusts overall

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

1. Jerome H. Friedman
2. Jorge M. Lobo
3. Chuan Shi
4. Huan Zhao
5. Yoshua Bengio
6. Diederik P. Kingma
7. Geoffrey E. Hinton
8. Andrew Y. Ng
9. Kyunghyun Cho
10. Dzmitry Bahdanau

Who trusts Shaohua Fan overall

1. Jianan Zhao
2. Fan Liu
3. Xiao Wang

Papers from Shaohua Fan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources (2020) — 454 citations
• Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (2019) — 389 citations