Wenshuo Li

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Efficiency & Compression — 22 citations into it
• Model Architectures — 8 citations into it

Whom Wenshuo Li trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Christian Szegedy
7. Xavier Glorot
8. X. Zhang
9. Song Han
10. Yann LeCun

Papers from Wenshuo Li's perspective

Ordered by how strongly the researchers Wenshuo Li 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Exploring the Regularity of Sparse Structure in Convolutional Neural Networks (2017) — 258 citations
• Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks (2018) — 66 citations