Ruixue Tang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Natural Language Processing — 17 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Ruixue Tang trusts overall

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

1. Diederik P. Kingma
2. Ross B. Girshick
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Kaiming He
8. Ilya Sutskever
9. Christian Szegedy
10. Yann LeCun

Papers from Ruixue Tang's perspective

Ordered by how strongly the researchers Ruixue Tang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering (2020) — 56 citations