Yuhan Zhang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yuhan Zhang trusts overall

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

1. Sergey Ioffe
2. Geoffrey E. Hinton
3. Kihyuk Sohn
4. Weiyang Liu
5. Kaiming He
6. Alex Krizhevsky
7. Hyun Oh Song
8. Christian Szegedy
9. Yann LeCun
10. Yandong Wen

Papers from Yuhan Zhang's perspective

Ordered by how strongly the researchers Yuhan Zhang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Circle Loss: A Unified Perspective of Pair Similarity Optimization (2020) — 1,036 citations