Yinxiao Li

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 529 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 231 citations into it
• Artificial Intelligence — 97 citations into it
• Model Architectures — 59 citations into it
• Generative Models — 53 citations into it
• Optimization & Training — 19 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Yinxiao Li trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Jonathan Ho
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Christian Szegedy

Papers from Yinxiao Li's perspective

Ordered by how strongly the researchers Yinxiao 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• MaxViT: Multi-Axis Vision Transformer (2022) — 1,088 citations
• MAXIM: Multi-Axis MLP for Image Processing (2022) — 716 citations
• SVDiff: Compact Parameter Space for Diffusion Fine-Tuning (2023) — 407 citations