Wenzheng Feng

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it

Whom Wenzheng Feng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yann LeCun
5. Alex Krizhevsky
6. Ilya Sutskever
7. Sergey Ioffe
8. Ruslan Salakhutdinov
9. Kaiming He
10. Jimmy Ba

Who trusts Wenzheng Feng overall

1. Ruosong Ye

Papers from Wenzheng Feng's perspective

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

Their papers

• Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks (2021) — 479 citations
• Graph Random Neural Networks for Semi-Supervised Learning on Graphs (2020) — 513 citations