Yan Wang

Computer Vision and Pattern Recognition · with Ji · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it
• Artificial Intelligence — 79 citations into it
• Efficiency & Compression — 25 citations into it
• Model Architectures — 23 citations into it
• Natural Language Processing — 18 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yan Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Diederik P. Kingma
6. Karen Simonyan
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Shaoqing Ren

Papers from Yan Wang's perspective

Ordered by how strongly the researchers Yan Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks (2022) — 63 citations
• HRank: Filter Pruning Using High-Rank Feature Map (2020) — 899 citations