Jian Wang

Artificial Intelligence · with Wang · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Signal Processing — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Jian Wang trusts overall

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

1. G. Huang
2. Geoffrey E. Hinton
3. Kaiming He
4. Corinna Cortes
5. Lei Zhang
6. Yoshua Bengio
7. Alex Krizhevsky
8. David H. Ackley
9. Yann LeCun
10. Vladimir Naumovich Vapnik

Papers from Jian Wang's perspective

Ordered by how strongly the researchers Jian Wang 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A review on extreme learning machine (2021) — 520 citations
• DNN Intellectual Property Protection: Taxonomy, Methods, Attack Resistance, and Evaluations (2020) — 4 citations
• A Review of Deep Learning on Medical Image Analysis (2020) — 420 citations