Qiang Yang

Artificial Intelligence · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it

Whom Qiang Yang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma

Papers from Qiang Yang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Dropout: a simple way to prevent neural networks from overfitting
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Understanding the difficulty of training deep feedforward neural networks
10. GloVe: Global Vectors for Word Representation

Their papers

• Graph Random Neural Networks for Semi-Supervised Learning on Graphs (2020) — 513 citations