Fei Wu
Artificial Intelligence · with Weld · 2007–2017
A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 98 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it; #3,914 of 35,345 by trust here, #10,798 by citations
- Natural Language Processing — 25 citations into it; #1,001 of 5,688 by trust here, #2,529 by citations
- Information Systems — 16 citations into it
- Evaluation & Benchmarks — 8 citations into it; #1,220 of 3,147 by trust here, #2,743 by citations
- Information Retrieval & Search — 8 citations into it; #153 of 1,022 by trust here, #438 by citations
- Molecular Biology — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Fei Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Evgeniy Gabrilovich
- Pedro M. Domingos
- Oren Etzioni
- Michele Banko
- Parag Singla
- Rion Snow
- Matthew Richardson
- Daniel S. Weld
- Hoifung Poon
- Andrew McCallum
Who trusts Fei Wu overall
- Hoifung Poon
- Jason Aaron Edward Weston
- Antoine Bordes
- Daniel S. Weld
- Oren Etzioni
- Alisa Smirnova
- Pedro M. Domingos
- Raphael Hoffmann
- Feng Niu
- Anthony Fader
Papers from Fei Wu's perspective
Ordered by how strongly the researchers Fei Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Autonomously semantifying wikipedia (2007) — 442 citations
- A Semantic QA-Based Approach for Text Summarization Evaluation (2017) — 43 citations
- Automatically refining the wikipedia infobox ontology (2008) — 378 citations
- Open Information Extraction Using Wikipedia (2010) — 703 citations
- Machine Reading at the University of Washington (2010) — 45 citations