Wei Zhu

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

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #11,147 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 11 citations into it; #21,515 of 35,345 by trust here, #29,412 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Media Technology — 5 citations into it

Whom Wei Zhu trusts overall

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

1. Feiping Nie
2. Deng Cai
3. Xiaofei He
4. Josh Tenenbaum
5. Andrew Y. Ng
6. Xinlei Chen
7. Partha Niyogi
8. Geoffrey E. Hinton
9. Michael I. Jordan
10. Mikhail Belkin

Who trusts Wei Zhu overall

1. Mang Ye
2. Tianji Pang
3. Saúl Solorio-Fernández

Papers from Wei Zhu's perspective

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

Their papers

• Unsupervised Feature Selection with Structured Graph Optimization (2016) — 329 citations
• Unsupervised Large Graph Embedding (2017) — 158 citations