Xuanhua Shi

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 37 citations into it
• Model Architectures — 18 citations into it

Whom Xuanhua Shi trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Yann LeCun
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Karen Simonyan
8. Christian Szegedy
9. Jia Deng
10. Ross B. Girshick

Who trusts Xuanhua Shi overall

1. Jie Ren

Papers from Xuanhua Shi's perspective

Ordered by how strongly the researchers Xuanhua Shi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Capuchin: Tensor-based GPU Memory Management for Deep Learning (2020) — 205 citations
• Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures (2018) — 39 citations
• Live virtual machine migration with adaptive, memory compression (2009) — 339 citations