Li Shen

Computer Vision and Pattern Recognition · with Huang · 2015

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #9,352 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 14 citations into it; #14,547 of 35,345 by trust here, #17,776 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Li Shen trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Christian Szegedy
4. Sergey Ioffe
5. X. Zhang
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Shaoqing Ren
9. Ross B. Girshick
10. Yann LeCun

Who trusts Li Shen overall

1. Jie Hu
2. Xingyi Zhou
3. Bingyi Kang
4. Yu Li
5. Kemal Oksuz
6. Shiori Sagawa
7. Haomiao Liu
8. Li Shen
9. Yong Guo
10. Xinting Hu

Papers from Li Shen's perspective

Ordered by how strongly the researchers Li Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks (2015) — 336 citations