Jian Wang

Computer Vision and Pattern Recognition · with Zuo · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Jian Wang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. Emmanuel John Muico Carranza
5. Sepp Hochreiter
6. Alex Krizhevsky
7. Robert Tibshirani

Papers from Jian Wang's perspective

Ordered by how strongly the researchers Jian 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. 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning and its application in geochemical mapping (2019) — 365 citations
• Discovering geochemical patterns by factor-based cluster analysis (2017) — 52 citations
• Identification of weak anomalies: A multifractal perspective (2015) — 99 citations