Qingsong Yang
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Radiology, Nuclear Medicine and Imaging — 24 citations into it
- Biomedical Engineering — 21 citations into it
- Artificial Intelligence — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Qingsong Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ge Wang
- Jimmy Ba
- Karen Simonyan
- Geoffrey E. Hinton
- Jia Deng
- Alex Krizhevsky
- Olaf Ronneberger
- Yoshua Bengio
- Kaiming He
Who trusts Qingsong Yang overall
- Xin Yi
- Yoseob Han
- Nantheera Anantrasirichai
- Paul S. Babyn
- Jong Chul Ye
- Eunhee Kang
- Xingyu Jiang
- Hongming Shan
- Md. Zahangir Alom
- Karim Armanious
Papers from Qingsong Yang's perspective
Ordered by how strongly the researchers Qingsong Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)