Yichi Zhang

Computer Vision and Pattern Recognition · with Wang · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it
• Artificial Intelligence — 61 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Model Architectures — 9 citations into it

Whom Yichi Zhang trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Olaf Ronneberger
8. Xiangde Luo
9. Ross B. Girshick
10. Ilya Sutskever

Papers from Yichi Zhang's perspective

Ordered by how strongly the researchers Yichi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation (2022) — 322 citations
• AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? (2020) — 479 citations