Sheng R. Li

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it; #20,571 of 21,575 by trust here, #12,419 by citations
• Efficiency & Compression — 16 citations into it; #1,188 of 1,264 by trust here, #968 by citations
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sheng R. Li trusts overall

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

1. Song Han
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Jia Deng
10. Diederik P. Kingma

Who trusts Sheng R. Li overall

1. Georgios Georgiadis
2. Wujie Wen

Papers from Sheng R. Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Faster CNNs with Direct Sparse Convolutions and Guided Pruning (2016) — 189 citations
• Parallelizing Word2Vec in Shared and Distributed Memory (2016) — 72 citations