Lin Wu

Computer Vision and Pattern Recognition · with Wang · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 341 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #11,762 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 30 citations into it
• Signal Processing — 10 citations into it
• Biomedical Engineering — 8 citations into it; #3,812 of 10,734 by trust here, #6,166 by citations
• Model Architectures — 8 citations into it
• Computational Mechanics — 7 citations into it
• Natural Language Processing — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Lin Wu trusts overall

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

1. Alex Graves
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Rui Zhao
5. Ilya Sutskever
6. Yoshua Bengio
7. Kaiming He
8. Karen Simonyan
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Lin Wu overall

1. Liang Zheng
2. Haiyu Zhao
3. Dangwei Li
4. Longhui Wei
5. Mang Ye
6. Shiliang Zhang
7. Yi Yang
8. Chi Su
9. Zhedong Zheng
10. Xihui Liu

Papers from Lin Wu's perspective

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

Their papers

• PersonNet: Person Re-identification with Deep Convolutional Neural Networks (2016) — 233 citations
• Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection (2017) — 323 citations
• Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization (2017) — 375 citations