Cheng Chen

Artificial Intelligence · with Gao · 2022

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Meta & Continual Learning — 16 citations into it

Whom Cheng Chen trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Marc'Aurelio Ranzato
4. Arslan Chaudhry
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Cheng Chen's perspective

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

Their papers

• Class Gradient Projection For Continual Learning (2022) — 26 citations