Yuehui Wang
Natural Language Processing · 2015
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 24 citations into it; #2,444 of 5,688 by trust here, #2,846 by citations
- Artificial Intelligence — 16 citations into it; #12,965 of 35,345 by trust here, #13,353 by citations
Whom Yuehui Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene Charniak
- Marti A. Hearst
- Jay Earley
- Noam Chomsky
- Luke S. Zettlemoyer
- Martha Palmer
- Paul R. Kingsbury
- Karin Kipper Schuler
- Nate Kushman
- Charles J. Fillmore
Who trusts Yuehui Wang overall
- Danqing Huang
- Shyam Upadhyay
- Zhenwen Liang
- Jinghui Qin
- Lei Wang
- Jipeng Zhang
- Yan Wang
- Ming-Wei Chang
- Zhipeng Xie
- Shuming Shi
Papers from Yuehui Wang's perspective
Ordered by how strongly the researchers Yuehui Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Their papers
- Automatically Solving Number Word Problems by Semantic Parsing and Reasoning (2015) — 181 citations