Qingfu Zhu

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 34 citations into it
• Artificial Intelligence — 33 citations into it
• Model Architectures — 8 citations into it

Whom Qingfu Zhu trusts overall

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

1. Alex Graves
2. Ilya Sutskever
3. Yoshua Bengio
4. Sepp Hochreiter
5. Geoffrey E. Hinton
6. J. Urgen Schmidhuber
7. Alan Ritter
8. Oriol Vinyals
9. Dzmitry Bahdanau
10. Tomas Mikolov

Papers from Qingfu Zhu's perspective

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

1. Long Short-Term Memory
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Neural personalized response generation as domain adaptation (2017) — 109 citations