Qian Yang

Artificial Intelligence · with Gu · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Optimization & Training — 37 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 7 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Qian Yang trusts overall

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

1. Diederik P. Kingma
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Ning Qian
8. Kaiming He
9. Jimmy Ba
10. Ilya Sutskever

Papers from Qian Yang's perspective

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

Their papers

• Decoupled Parallel Backpropagation with Convergence Guarantee (2018) — 107 citations
• Faster On-Device Training Using New Federated Momentum Algorithm (2020) — 58 citations