Xiaobo Shen

Artificial Intelligence · with Liu · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Information Systems — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Xiaobo Shen trusts overall

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

1. Zhi-Hua Zhou
2. Geoffrey E. Hinton
3. Min-Ling Zhang
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Jason Aaron Edward Weston
8. Jinseok Nam
9. Tomas Mikolov
10. Diederik P. Kingma

Papers from Xiaobo Shen's perspective

Ordered by how strongly the researchers Xiaobo Shen 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Emerging Trends of Multi-Label Learning (2020) — 387 citations