Xiao Zhou

Artificial Intelligence · with Zhang · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Computer Vision and Pattern Recognition — 44 citations into it
• Efficiency & Compression — 29 citations into it

Whom Xiao Zhou trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. X. Zhang
8. Max Welling
9. Ilya Sutskever
10. Jonathan Frankle

Papers from Xiao Zhou's perspective

Ordered by how strongly the researchers Xiao Zhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
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

• Black-box Prompt Learning for Pre-trained Language Models (2022) — 90 citations
• Effective Sparsification of Neural Networks with Global Sparsity Constraint (2021) — 80 citations