Li Xiong

Computer Vision and Pattern Recognition · with Liu · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 242 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 96 citations into it
• Artificial Intelligence — 78 citations into it; #35,183 of 35,345 by trust here, #23,077 by citations
• Optimization & Training — 37 citations into it
• Model Architectures — 30 citations into it
• Computational Mechanics — 24 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Generative Models — 10 citations into it
• Aerospace Engineering — 7 citations into it

Whom Li Xiong trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Weiyang Liu
7. Karen Simonyan
8. Ilya Sutskever
9. Diederik P. Kingma
10. X. Zhang

Who trusts Li Xiong overall

1. Weiyang Liu

Papers from Li Xiong's perspective

Ordered by how strongly the researchers Li Xiong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Regularizing Neural Networks via Minimizing Hyperspherical Energy (2019) — 48 citations
• Learning with Hyperspherical Uniformity (2021) — 50 citations
• Orthogonal Over-Parameterized Training (2020) — 55 citations