Xiaoyu Shen
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 143 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 113 citations into it; #17,642 of 35,345 by trust here, #7,112 by citations
- Natural Language Processing — 108 citations into it; #3,254 of 5,688 by trust here, #1,649 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Model Architectures — 10 citations into it
- Generative Models — 5 citations into it
Whom Xiaoyu Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Sepp Hochreiter
- Jimmy Ba
- Dzmitry Bahdanau
- Jason Eisner
- Alex Krizhevsky
- Kyunghyun Cho
Who trusts Xiaoyu Shen overall
- Xinnuo Xu
- Ernie Chang
- Eric Michael Smith
- Pei Zhou
- Myle Ott
- Hannah Rashkin
- Soumya Batra
- Sarik Ghazarian
- Peyman Heidari
- Deepanway Ghosal
Papers from Xiaoyu Shen's perspective
Ordered by how strongly the researchers Xiaoyu Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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
- DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset (2017) — 1,534 citations
- Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence (2020) — 51 citations
- Neural Data-to-Text Generation with LM-based Text Augmentation (2021) — 46 citations
- Diversifying Dialogue Generation with Non-Conversational Text (2020) — 47 citations