Le Wang

Artificial Intelligence · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #34,227 of 35,345 by trust here, #28,481 by citations
• Information Retrieval & Search — 14 citations into it; #973 of 1,022 by trust here, #858 by citations
• Natural Language Processing — 5 citations into it

Whom Le Wang trusts

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

1. Ellen M. Voorhees (in Natural Language Processing)
2. W. Bruce Croft (in Artificial Intelligence)
3. Diederik P. Kingma (in Artificial Intelligence)
4. Jimmy Ba (in Artificial Intelligence)

Who trusts Le Wang

1. Jimmy J. Lin (in Artificial Intelligence)

Papers from Le Wang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. Attention is All you Need (Neural Information Processing Systems)
4. Learning deep structured semantic models for web search using clickthrough data
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval (2018) — 74 citations