Wenhan Shi

Artificial Intelligence · 2019

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 — 29 citations into it
• Graph Learning — 21 citations into it
• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Molecular Biology — 11 citations into it

Whom Wenhan Shi trusts overall

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

1. Thomas Kipf
2. Max Welling
3. Geoffrey E. Hinton
4. Yan Zhang
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yoshua Bengio
8. Jiaxuan You
9. Ilya Sutskever
10. Mehdi Mirza

Papers from Wenhan Shi's perspective

Ordered by how strongly the researchers Wenhan Shi 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Conditional Structure Generation through Graph Variational Generative Adversarial Nets (2019) — 114 citations