Zhihui Li

Computer Vision and Pattern Recognition · with Chang · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 705 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 294 citations into it; #21,530 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 275 citations into it; #34,829 of 35,345 by trust here, #17,412 by citations
• Model Architectures — 67 citations into it
• Neural Architecture Search & AutoML — 53 citations into it
• Efficiency & Compression — 43 citations into it
• Optimization & Training — 37 citations into it
• Natural Language Processing — 36 citations into it
• Evaluation & Benchmarks — 27 citations into it

Whom Zhihui Li trusts overall

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

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

Who trusts Zhihui Li overall

1. Xiaojun Chang

Papers from Zhihui Li's perspective

Ordered by how strongly the researchers Zhihui 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dynamic Slimmable Network (2021) — 186 citations
• A Comprehensive Survey of Scene Graphs: Generation and Application (2021) — 341 citations
• A Comprehensive Survey of Neural Architecture Search (2020) — 868 citations
• A Survey of Deep Active Learning (2020) — 1,521 citations