Huazheng Wang

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 33 citations into it
• Privacy & Security — 11 citations into it
• Molecular Biology — 7 citations into it

Whom Huazheng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Richard S. Sutton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Cynthia Dwork
7. Yann LeCun
8. Kaiming He
9. Karen Simonyan
10. Ilya Sutskever

Papers from Huazheng Wang's perspective

Ordered by how strongly the researchers Huazheng Wang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Machine Learning for Synthetic Data Generation: a Review (2023) — 297 citations