Ningshan Zhang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 372 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 98 citations into it; #18,288 of 35,345 by trust here, #19,018 by citations
• Representation & Self-Supervised Learning — 74 citations into it; #1,937 of 3,145 by trust here, #2,217 by citations
• Computer Vision and Pattern Recognition — 54 citations into it; #11,866 of 21,575 by trust here, #12,992 by citations
• Cancer Research — 11 citations into it
• Computational Mechanics — 11 citations into it
• Information Theory — 11 citations into it
• Signal Processing — 11 citations into it
• Natural Language Processing — 6 citations into it

Whom Ningshan Zhang trusts overall

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

1. Yishay Mansour
2. Judy Hoffman
3. Alex Krizhevsky
4. Mehryar Mohri
5. Geoffrey E. Hinton
6. Jeff Donahue
7. Ross B. Girshick
8. John Blitzer
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Ningshan Zhang overall

1. Mehryar Mohri
2. Garrett Wilson

Papers from Ningshan Zhang's perspective

Ordered by how strongly the researchers Ningshan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Algorithms and Theory for Multiple-Source Adaptation (2018) — 191 citations
• Multiple-Source Adaptation with Domain Classifiers (2020)
• Multiple-source adaptation theory and algorithms (2020) — 17 citations