Chaohui Yu

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 2 papers; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Representation & Self-Supervised Learning — 29 citations into it

Whom Chaohui Yu trusts overall

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

1. Mingsheng Long
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yaroslav Ganin
6. Yoshua Bengio
7. Baochen Sun
8. Ilya Sutskever
9. Yann LeCun
10. Jindong Wang

Who trusts Chaohui Yu overall

1. Yuxiang Zhang
2. Wei Li
3. Renjun Xu
4. Yuntao Du
5. Jindong Wang

Papers from Chaohui Yu's perspective

Ordered by how strongly the researchers Chaohui Yu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transfer Learning with Dynamic Adversarial Adaptation Network (2019) — 388 citations
• FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare (2019) — 933 citations