Qian Long

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Reinforcement Learning — 28 citations into it

Whom Qian Long trusts overall

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

1. Sainbayar Sukhbaatar
2. Sergey Levine
3. Geoffrey E. Hinton
4. David Silver
5. Volodymyr Mnih
6. Yoshua Bengio
7. Richard S. Sutton
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Liviu Panait

Who trusts Qian Long overall

1. Sven Gronauer
2. Xiaoteng Ma
3. Zhen-Yu Tang
4. Klaus-Jürgen Diepold

Papers from Qian Long's perspective

Ordered by how strongly the researchers Qian Long 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning (2020) — 96 citations