Wenzhe Pei

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 23 citations into it
• Artificial Intelligence — 19 citations into it; #10,977 of 35,345 by trust here, #22,463 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Wenzhe Pei trusts overall

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

1. Richard Socher
2. Nathan D. Ratliff
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Michael Collins
6. John C. Duchi
7. Tomas Mikolov
8. Ronan Collobert
9. Christopher D. Manning
10. Ruslan Salakhutdinov

Who trusts Wenzhe Pei overall

1. Yoav Goldberg
2. Yonatan Belinkov
3. Eliyahu Kiperwasser
4. Jiwei Li
5. Nanyun Peng
6. Jie Yang
7. Hao Peng
8. Xu Tan
9. Eduard H. Hovy
10. Mark Dredze

Papers from Wenzhe Pei's perspective

Ordered by how strongly the researchers Wenzhe Pei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• An Effective Neural Network Model for Graph-based Dependency Parsing (2015) — 62 citations
• Max-Margin Tensor Neural Network for Chinese Word Segmentation (2014) — 168 citations