Jie Wen

Computer Vision and Pattern Recognition · with Xu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 19 citations into it
• Media Technology — 9 citations into it
• Computational Mechanics — 7 citations into it
• Signal Processing — 5 citations into it

Whom Jie Wen trusts overall

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

1. Feiping Nie
2. Andrew Y. Ng
3. Pedro F. Felzenszwalb
4. Chih-Jen Lin
5. Aude Oliva
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Gitta Kutyniok
9. Michael I. Jordan
10. Antonio Torralba

Papers from Jie Wen's perspective

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

Their papers

• Incomplete Multiview Spectral Clustering With Adaptive Graph Learning (2020) — 359 citations
• Robust Sparse Linear Discriminant Analysis (2019) — 329 citations