Hao Li

Computer Vision and Pattern Recognition · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #15,908 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 23 citations into it; #25,943 of 35,345 by trust here, #23,077 by citations
• Efficiency & Compression — 21 citations into it
• Model Architectures — 14 citations into it

Whom Hao Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Gao Huang
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Jia Deng
9. Alex Graves
10. Ross B. Girshick

Who trusts Hao Li overall

1. Yulin Wang
2. Yizeng Han
3. Shiji Song
4. Xin Dai
5. Le Yang
6. Rui Huang
7. Zejia Weng
8. Gao Huang
9. Changlin Li
10. Zuxuan Wu

Papers from Hao Li's perspective

Ordered by how strongly the researchers Hao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improved Techniques for Training Adaptive Deep Networks (2019) — 155 citations