Mingxuan Liu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Mingxuan Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ross B. Girshick
5. Yoshua Bengio
6. Andrew Zisserman
7. Yann LeCun
8. Ilya Sutskever
9. Diederik P. Kingma
10. Kai Han

Papers from Mingxuan Liu's perspective

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

Their papers

• Class-incremental Novel Class Discovery (2022) — 64 citations