Zhen Cheng

Artificial Intelligence · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Meta & Continual Learning — 19 citations into it; #883 of 1,041 by trust here, #878 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Zhen Cheng trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Ilya Sutskever
8. Marc'Aurelio Ranzato
9. Jimmy Ba
10. Ross B. Girshick

Who trusts Zhen Cheng overall

1. Yiduo Guo
2. Da-Wei Zhou
3. Liyuan Wang
4. Hongwei Yan
5. Qiwen Wang
6. Simone Magistri

Papers from Zhen Cheng's perspective

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

Their papers

• Class-Incremental Learning via Dual Augmentation (2021) — 244 citations