Zhen Wu

Artificial Intelligence · with Wang · 2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Optimization & Training — 7 citations into it

Whom Zhen Wu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Papers from Zhen Wu's perspective

Ordered by how strongly the researchers Zhen Wu 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. Learning Multiple Layers of Features from Tiny Images
3. Attention is All you Need (Neural Information Processing Systems)
4. Reading Digits in Natural Images with Unsupervised Feature Learning
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
8. Visualizing Data using t-SNE
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning (2022) — 477 citations
• Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction (2022) — 306 citations