Huiqi Li

Artificial Intelligence · with Chang · 2020

A researcher in the Science corpus: 2 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Computer Vision and Pattern Recognition — 73 citations into it
• Neural Architecture Search & AutoML — 36 citations into it
• Model Architectures — 13 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Molecular Biology — 5 citations into it

Whom Huiqi Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Xuanyi Dong
6. Karen Simonyan
7. Diederik P. Kingma
8. Yann LeCun
9. Quoc V. Le
10. Ilya Sutskever

Who trusts Huiqi Li overall

1. Changlin Li
2. Pengzhen Ren

Papers from Huiqi Li's perspective

Ordered by how strongly the researchers Huiqi 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (2020) — 81 citations
• Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization (2020) — 89 citations