Xingguo Li

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #32,822 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #20,105 of 21,575 by trust here, #14,151 by citations

Whom Xingguo Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Christian Szegedy
6. Ilya Sutskever
7. Yoshua Bengio
8. Ross B. Girshick
9. Shaoqing Ren
10. X. Zhang

Who trusts Xingguo Li overall

1. Weiyang Liu
2. Rongmei Lin

Papers from Xingguo Li's perspective

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

Their papers

• Deep Hyperspherical Learning (2017) — 153 citations
• Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality (2020) — 56 citations