Yajuan Lyu
Natural Language Processing · 2017–2019
A researcher in the Science corpus: 5 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 110 citations into it
- Artificial Intelligence — 109 citations into it
- Computer Vision and Pattern Recognition — 54 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Information Retrieval & Search — 19 citations into it
- Model Architectures — 8 citations into it
- Management Science and Operations Research — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Yajuan Lyu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Shuohang Wang
- Oriol Vinyals
- Yann LeCun
- Christopher D. Manning
- Richard Socher
Papers from Yajuan Lyu's perspective
Ordered by how strongly the researchers Yajuan Lyu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications (2017) — 309 citations
- Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension (2019) — 152 citations
- Answer-focused and Position-aware Neural Question Generation (2018) — 188 citations
- Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (2018) — 125 citations
- Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension (2018) — 38 citations