Zhenxin Fu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 9 citations into it; #5,555 of 5,688 by trust here, #2,497 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #21,153 of 21,575 by trust here, #8,122 by citations

Whom Zhenxin Fu trusts overall

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

1. Matthew D. Zeiler
2. Oriol Vinyals
3. R. Caruana
4. Ilya Sutskever
5. Chin-Yew Lin
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Jeffrey Pennington
9. Satanjeev Banerjee
10. Ruining He

Who trusts Zhenxin Fu overall

1. Di Jin
2. Zhijing Jin
3. Zhiqiang Hu
4. Peng Xu
5. Asli Celikyilmaz
6. Akhilesh Sudhakar
7. Ruibo Liu
8. C. D. Santos
9. Gang Chen
10. Eric Michael Smith

Papers from Zhenxin Fu's perspective

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

Their papers

• Style Transfer in Text: Exploration and Evaluation (2017) — 544 citations