Bin Wang

Artificial Intelligence · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Graph Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Bin Wang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Christian Szegedy
5. Sergey Ioffe
6. Ilya Sutskever
7. Yoshua Bengio
8. Jimmy Ba
9. Antoine Bordes
10. Yann LeCun

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Dropout: a simple way to prevent neural networks from overfitting
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adaptive Convolution for Multi-Relational Learning (2019) — 167 citations