Mingqing Xiao

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Mingqing Xiao trusts overall

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

1. Erkki Oja
2. Juha Karhunen
3. Friedemann Zenke
4. Zhizhong Li
5. Geoffrey E. Hinton
6. Kaushik Roy
7. Arun Mallya
8. Yujie Wu
9. Sumit Bam Shrestha
10. Alex Krizhevsky

Papers from Mingqing Xiao's perspective

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

Their papers

• Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks (2024) — 19 citations