Weijie Fu

Computer Vision and Pattern Recognition · 2016

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

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 17 citations into it; #26,946 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 13 citations into it

Whom Weijie Fu trusts overall

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

1. Sam T. Roweis
2. Radford M. Neal
3. Mikhail Belkin
4. Josh Tenenbaum
5. Eric R. Ziegel
6. Geoffrey E. Hinton
7. Lawrence K. Saul
8. Charles Peter Elkan
9. Partha Niyogi
10. Alex Krizhevsky

Who trusts Weijie Fu overall

1. Xiangnan He
2. Mang Ye
3. Tat-seng Chua
4. Yang Wang

Papers from Weijie Fu's perspective

Ordered by how strongly the researchers Weijie Fu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization (2016) — 220 citations
• Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection (2016) — 30 citations