Debo Cheng

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 9 citations into it

Whom Debo Cheng trusts overall

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

1. Xiaofeng Zhu
2. Chih-Jen Lin
3. Yue Gao

Papers from Debo Cheng's perspective

Ordered by how strongly the researchers Debo Cheng 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. LIBSVM: A library for support vector machines
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning k for kNN Classification (2017) — 736 citations
• Efficient kNN classification algorithm for big data (2016) — 529 citations