Kundong Wang
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #19,560 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 17 citations into it; #31,848 of 35,345 by trust here, #28,481 by citations
- Neurology — 17 citations into it; #1,078 of 1,455 by trust here, #1,146 by citations
- Psychiatry and Mental health — 15 citations into it
- Biomedical Engineering — 6 citations into it
- Physiology — 6 citations into it
Whom Kundong Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- D. Selkoe
- Ilya Sutskever
- Yann LeCun
- Nitish Srivastava
- Yoshua Bengio
- Rob Fergus
Who trusts Kundong Wang overall
Papers from Kundong Wang's perspective
Ordered by how strongly the researchers Kundong Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge