Chengtai Cao

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #14,541 of 35,345 by trust here, #30,347 by citations
• Graph Learning — 26 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it; #9,403 of 21,575 by trust here, #20,271 by citations
• Molecular Biology — 8 citations into it
• Meta & Continual Learning — 7 citations into it
• Model Architectures — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Chengtai Cao trusts overall

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

1. Diederik P. Kingma
2. Arun Mallya
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Thomas Kipf
7. Yann LeCun
8. Max Welling
9. Zhizhong Li
10. Kaiming He

Who trusts Chengtai Cao overall

1. Xikun Zhang
2. Seoyoon Kim
3. Zhen Tan
4. Chen Wang

Papers from Chengtai Cao's perspective

Ordered by how strongly the researchers Chengtai 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. 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay (2021) — 192 citations
• Continual Graph Learning (2020) — 10 citations