Yilong Yin

Computer Vision and Pattern Recognition · Scientific Reports · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 34 citations into it
• Model Architectures — 7 citations into it

Whom Yilong Yin trusts overall

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

1. Nathalie Japkowicz
2. William W. Cohen
3. Pedro M. Domingos
4. Muhammad Moazam Fraz
5. Yoav Freund
6. Foster J. Provost
7. Hongyu Guo
8. Gang Wu
9. Ana Maria Mendonça
10. Trevor J. Hastie

Who trusts Yilong Yin overall

1. Aida Ali
2. Tomás Borovicka

Papers from Yilong Yin's perspective

Ordered by how strongly the researchers Yilong Yin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Histograms of oriented gradients for human detection
5. This PDF file includes: Materials and Methods
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• On the Class Imbalance Problem (2008) — 586 citations
• Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model (2017) — 623 citations
• Hierarchical retinal blood vessel segmentation based on feature and ensemble learning (2015) — 380 citations
• SDUMLA-HMT: A Multimodal Biometric Database (2011) — 462 citations