Xiaorong Li

Artificial Intelligence · with Sun · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #22,771 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 30 citations into it; #14,050 of 21,575 by trust here, #14,478 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 5 citations into it

Whom Xiaorong Li trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Jimmy Ba
8. Carl Dean Meyer
9. Marc'Aurelio Ranzato
10. Dzmitry Bahdanau

Who trusts Xiaorong Li overall

1. Da-Wei Zhou
2. Fei Ye
3. Yabin Wang
4. Liangzu Peng
5. Arjun Ashok
6. Do-Yeon Kim
7. Yajing Kong
8. Zhiwu Huang
9. Haoxuan Qu

Papers from Xiaorong Li's perspective

Ordered by how strongly the researchers Xiaorong Li 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. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Training Networks in Null Space of Feature Covariance for Continual Learning (2021) — 225 citations