Fangjing Wu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #16,861 of 35,345 by trust here, #10,667 by citations
• Natural Language Processing — 19 citations into it; #2,982 of 5,688 by trust here, #2,333 by citations

Whom Fangjing Wu trusts overall

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

1. Kevin Clark
2. Christopher D. Manning
3. Ilya Sutskever
4. Alex Graves
5. Geoffrey E. Hinton
6. Oriol Vinyals
7. Wojciech Zaremba
8. Yoshua Bengio

Who trusts Fangjing Wu overall

1. Emily Sheng
2. Jesse Vig
3. Yusu Qian
4. Kai-Wei Chang
5. Sunipa Dev

Papers from Fangjing Wu's perspective

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

Their papers

• Gender Bias in Neural Natural Language Processing (2018) — 408 citations