Dehua Cheng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Information Systems — 11 citations into it
• Model Architectures — 7 citations into it

Whom Dehua Cheng trusts overall

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

1. Barret Zoph
2. Steffen Rendle
3. C. Burges
4. Quoc V. Le
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Karen Simonyan
8. Kaiming He
9. Yoshua Bengio
10. Esteban Real

Papers from Dehua Cheng's perspective

Ordered by how strongly the researchers Dehua Cheng 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
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. 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

• Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction (2020) — 94 citations