Qin Wang

Electrical and Electronic Engineering · with Chen · 2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 23 citations into it
• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Qin Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. James W. Taylor
6. Gao Huang
7. R. Golden
8. X. Zhang
9. Ilya Sutskever
10. Yarin Gal

Papers from Qin Wang's perspective

Ordered by how strongly the researchers Qin Wang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Dropout: a simple way to prevent neural networks from overfitting
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Short-Term Load Forecasting With Deep Residual Networks (2018) — 542 citations
• The combined value of wind and solar power forecasting improvements and electricity storage (2018) — 112 citations