Wenrui Dai

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 249 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Computer Vision and Pattern Recognition — 72 citations into it
• Representation & Self-Supervised Learning — 35 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 15 citations into it

Whom Wenrui Dai trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Ross B. Girshick
7. Sepp Hochreiter
8. Ilya Sutskever
9. Diederik P. Kingma
10. Karen Simonyan

Papers from Wenrui Dai's perspective

Ordered by how strongly the researchers Wenrui Dai 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning (2022) — 47 citations
• Dynamic-stride-net: deep convolutional neural network with dynamic stride (2019) — 9 citations
• Spatial-Temporal Transformer Networks for Traffic Flow Forecasting (2020) — 520 citations
• Privacy Preserving Federated Big Data Analysis (2018) — 28 citations