Cheng Li

Computer Vision and Pattern Recognition · with Bai · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Optimization & Training — 18 citations into it
• ML Systems & Hardware — 9 citations into it

Whom Cheng Li trusts overall

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

1. Nikko Ström
2. Geoffrey E. Hinton
3. Yanghua Peng
4. Alex Krizhevsky
5. Yoshua Bengio
6. Noam Shazeer
7. Kaiming He
8. Jacob Devlin
9. Ashish Vaswani
10. Alexander Sergeev

Papers from Cheng Li's perspective

Ordered by how strongly the researchers Cheng Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Gradient Compression Supercharged High-Performance Data Parallel DNN Training (2021) — 60 citations