Shiqi Shen
Natural Language Processing · with Liu · 2015–2018
A researcher in the Science corpus: 5 papers; trusts 105 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 91 citations into it; #1,408 of 5,688 by trust here, #1,121 by citations
- Artificial Intelligence — 86 citations into it; #7,606 of 35,345 by trust here, #4,923 by citations
- Computer Vision and Pattern Recognition — 31 citations into it; #5,849 of 21,575 by trust here, #3,765 by citations
- Model Architectures — 23 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Optimization & Training — 7 citations into it
Whom Shiqi Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Kyunghyun Cho
- Yoshua Bengio
- Ilya Sutskever
- Dzmitry Bahdanau
- Franz Joseph Och
- Geoffrey E. Hinton
- Ronald J. Williams
- Oriol Vinyals
- Diederik P. Kingma
Who trusts Shiqi Shen overall
- Julia Kreutzer
- Zhaopeng Tu
- Yang Liu
- Jun Suzuki
- Felix Stahlberg
- Yixin Liu
- Lijun Wu
- Ayana
- Leshem Choshen
- Chris Hokamp
Papers from Shiqi Shen's perspective
Ordered by how strongly the researchers Shiqi Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Minimum Risk Training for Neural Machine Translation (2015) — 480 citations
- Neural Relation Extraction with Selective Attention over Instances (2016) — 1,024 citations
- Neural Headline Generation with Minimum Risk Training (2016) — 55 citations
- Zero-Shot Cross-Lingual Neural Headline Generation (2018) — 54 citations
- Neural Headline Generation with Sentence-wise Optimization (2016) — 41 citations