Baopeng Zhang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it

Whom Baopeng Zhang trusts overall

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

1. L. Eon Bottou
2. Samaneh Azadi
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Martin A. Zinkevich
7. Nitish Srivastava
8. Hua Ouyang

Papers from Baopeng Zhang's perspective

Ordered by how strongly the researchers Baopeng Zhang 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. ImageNet: A large-scale hierarchical image database
5. Dropout: a simple way to prevent neural networks from overfitting
6. Et al
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
• iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning (2017) — 322 citations