Li Xu

Artificial Intelligence · with Liu · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 475 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 281 citations into it
• Computer Vision and Pattern Recognition — 246 citations into it
• Meta & Continual Learning — 174 citations into it
• Representation & Self-Supervised Learning — 46 citations into it
• Optimization & Training — 18 citations into it
• Model Architectures — 16 citations into it
• Question Answering & Reading Comprehension — 10 citations into it
• Multimodal Learning — 9 citations into it

Whom Li Xu 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. Marc'Aurelio Ranzato
8. Alex Graves
9. Jimmy Ba
10. Ross B. Girshick

Papers from Li Xu's perspective

Ordered by how strongly the researchers Li Xu 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Experts Collaboration Learning for Continual Multi-Modal Reasoning (2023) — 10 citations
• Recent Advances of Continual Learning in Computer Vision: An Overview (2021) — 114 citations