Chunliang Zhang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Natural Language Processing — 21 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 7 citations into it

Whom Chunliang Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Barret Zoph
8. Quoc V. Le
9. Karen Simonyan
10. Alan Akbik

Papers from Chunliang Zhang's perspective

Ordered by how strongly the researchers Chunliang Zhang 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning Light-Weight Translation Models from Deep Transformer (2020) — 44 citations
• Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition (2019) — 83 citations