Liqun Wang

Artificial Intelligence · with Feng · 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 — 18 citations into it
• Natural Language Processing — 13 citations into it

Whom Liqun Wang trusts overall

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

1. Diederik P. Kingma
2. Thorsten Joachims
3. Yann LeCun
4. Geoffrey E. Hinton
5. Yoon Kim
6. Yoshua Bengio
7. Tomas Mikolov
8. Richard S. Sutton
9. Jimmy Ba
10. Hanna M. Wallach

Papers from Liqun Wang's perspective

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

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

Their papers

• Long Document Classification From Local Word Glimpses via Recurrent Attention Learning (2019) — 49 citations