Huaiyu Li

Artificial Intelligence · with Dong · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #29,057 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #17,838 of 21,575 by trust here, #20,271 by citations
• Generative Models — 13 citations into it
• Meta & Continual Learning — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Huaiyu Li trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ian J. Goodfellow
7. Anthony V. Robins
8. Sebastian Ruder
9. Jimmy Ba
10. Kaiming He

Who trusts Huaiyu Li overall

1. Hichem Sahbi
2. Haoming Zhan

Papers from Huaiyu Li's perspective

Ordered by how strongly the researchers Huaiyu 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Incremental Concept Learning via Online Generative Memory Recall (2019) — 30 citations