Wenbin Li

Artificial Intelligence · with Gao · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 159 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 24 citations into it
• Optimization & Training — 9 citations into it

Whom Wenbin Li trusts overall

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

1. Sebastian Thrun
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Gregory R. Koch
8. Oriol Vinyals
9. Jimmy Ba
10. Yann LeCun

Who trusts Wenbin Li overall

1. Chi Zhang
2. Masoud Faraki
3. Ji Zhang
4. Kun Yan
5. Rui Hou
6. Prashant Pandey
7. Chengxiang Yin
8. Yujun Cai
9. Xiang Yu
10. Jingkuan Song

Papers from Wenbin Li's perspective

Ordered by how strongly the researchers Wenbin 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning (2019) — 591 citations
• Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning (2019) — 249 citations
• Online Deep Metric Learning (2018) — 11 citations