Yicheng Wu
Computer Vision and Pattern Recognition · with Zhang · 2021
A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it
- Artificial Intelligence — 33 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Optimization & Training — 9 citations into it
Whom Yicheng Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Dong-Hyun Lee
- Kaiming He
- Zhedong Zheng
- Diederik P. Kingma
- Yoshua Bengio
- Yarin Gal
- Yann LeCun
- Ilya Sutskever
Who trusts Yicheng Wu overall
Papers from Yicheng Wu's perspective
Ordered by how strongly the researchers Yicheng Wu 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Mutual consistency learning for semi-supervised medical image segmentation (2021) — 418 citations
- Semi-supervised Left Atrium Segmentation with Mutual Consistency Training (2021) — 348 citations