Qi Cao

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Statistical and Nonlinear Physics — 18 citations into it
• Graph Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Information Systems — 6 citations into it

Whom Qi Cao trusts overall

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

1. Rediet Abebe
2. Gábor Szabó
3. How Jing
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Henrique Pinto
9. Kaiming He
10. Huawei Shen

Papers from Qi Cao's perspective

Ordered by how strongly the researchers Qi Cao 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Graph Wavelet Neural Network (2019) — 397 citations
• DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades (2017) — 295 citations