Yang Fan

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 153 citations into it
• Computer Vision and Pattern Recognition — 106 citations into it
• Natural Language Processing — 54 citations into it
• Optimization & Training — 49 citations into it
• Model Architectures — 46 citations into it
• Reinforcement Learning — 26 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Management Science and Operations Research — 15 citations into it

Whom Yang Fan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Ronald J. Williams
8. J. Urgen Schmidhuber
9. Sepp Hochreiter
10. Yann LeCun

Who trusts Yang Fan overall

1. Sebastian Ruder
2. Diksha Khurana
3. Qing Sun
4. Zhiquan Ye
5. Barbara Plank

Papers from Yang Fan's perspective

Ordered by how strongly the researchers Yang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Microsoft Research Asia’s Systems for WMT19 (2019) — 26 citations
• Learning What Data to Learn (2017) — 85 citations
• Learning to Teach with Dynamic Loss Functions (2018) — 126 citations
• Learning to Reweight with Deep Interactions (2021) — 6 citations
• Bidirectional anisotropic polyimide/bacterial cellulose aerogels by freeze-drying for super-thermal insulation (2020) — 320 citations
• Searching Better Architectures for Neural Machine Translation (2020) — 27 citations
• Learning to Teach (2018) — 17 citations