Dehua Liang

Cognitive Neuroscience · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 20 citations into it
• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 8 citations into it
• Experimental and Cognitive Psychology — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Dehua Liang trusts overall

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

1. Diederik P. Kingma
2. Nathalie Japkowicz
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Wei-Long Zheng
7. Yoshua Bengio
8. Max Welling
9. Nitish Srivastava
10. Antreas Antoniou

Who trusts Dehua Liang overall

1. Guillermo Alonso Iglesias

Papers from Dehua Liang's perspective

Ordered by how strongly the researchers Dehua Liang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Data Augmentation for Deep-Learning-Based Electroencephalography. (2020) — 351 citations