Yin Zhang

Artificial Intelligence · with Chen · 2013–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it

Whom Yin Zhang trusts overall

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

1. David G. Lowe
2. David M. Blei
3. Michael I. Jordan
4. Geoffrey E. Hinton
5. Julien Mairal
6. Li Fei-Fei
7. Jerome H. Friedman
8. Robert Tibshirani

Papers from Yin Zhang's perspective

Ordered by how strongly the researchers Yin Zhang 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. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval (2013) — 180 citations
• Continual Few-shot Intent Detection (2022) — 17 citations