Zhiyuan Qi

Artificial Intelligence · with Liu · 2023

A researcher in the Science corpus: 1 paper; trusts 313 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 194 citations into it
• Computer Vision and Pattern Recognition — 162 citations into it
• Meta & Continual Learning — 137 citations into it
• Representation & Self-Supervised Learning — 36 citations into it
• Optimization & Training — 14 citations into it
• Reinforcement Learning — 9 citations into it

Whom Zhiyuan Qi trusts overall

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

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

Papers from Zhiyuan Qi's perspective

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

Their papers

• Class-Incremental Learning: A Survey (2023) — 380 citations