Qiang Yang

Artificial Intelligence · with Zhan · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #18,737 of 35,345 by trust here, #19,018 by citations
• Information Systems — 11 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 10 citations into it; #1,617 of 2,601 by trust here, #1,661 by citations

Whom Qiang Yang trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Teuvo Kohonen
4. Chet Langin
5. Sergey Ioffe
6. Jimmy Ba

Who trusts Qiang Yang overall

1. Arthur Douillard

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. Gradient-based learning applied to document recognition
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Layer Normalization
8. A Fast Learning Algorithm for Deep Belief Nets
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Reading Digits in Natural Images with Unsupervised Feature Learning

Their papers

• Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks (2017) — 246 citations
• BigDataBench: A big data benchmark suite from internet services (2014) — 607 citations