Qingqing Cao

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 19 citations into it; #33,410 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Qingqing Cao trusts overall

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

1. Geoffrey E. Hinton
2. Jonas Mockus
3. X. Zhang
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jacob Devlin
8. Oriol Vinyals
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Qingqing Cao overall

1. Yonatan Belinkov

Papers from Qingqing Cao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering (2020) — 71 citations