Chen Li

Computer Vision and Pattern Recognition · with Bao · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Generative Models — 28 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Chen Li trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Nichol
5. Prafulla Dhariwal
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kaiming He
9. Yann LeCun
10. Ilya Sutskever

Papers from Chen Li's perspective

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

Their papers

• Efficient Diffusion Training via Min-SNR Weighting Strategy (2023) — 302 citations