Xinyi Wang

Artificial Intelligence · with Neubig · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 130 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #10,830 of 35,345 by trust here, #9,968 by citations
• Natural Language Processing — 67 citations into it; #2,614 of 5,688 by trust here, #2,660 by citations
• Computer Vision and Pattern Recognition — 40 citations into it; #8,392 of 21,575 by trust here, #8,296 by citations
• Model Architectures — 19 citations into it
• Evaluation & Benchmarks — 11 citations into it; #2,936 of 3,147 by trust here, #2,590 by citations

Whom Xinyi Wang trusts overall

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

1. Ilya Sutskever
2. Rico Sennrich
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Dzmitry Bahdanau
7. Kyunghyun Cho
8. Oriol Vinyals
9. Diederik P. Kingma
10. Sepp Hochreiter

Who trusts Xinyi Wang overall

1. Felix Stahlberg
2. Yong Cheng
3. Graham Neubig
4. Yuta Nishimura
5. Yulia Tsvetkov
6. Eleftheria Briakou
7. Freda Shi
8. Bohan Li
9. Hao Hao Tan
10. Nathan Ng

Papers from Xinyi Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation (2018) — 210 citations
• compare-mt: A Tool for Holistic Comparison of Language Generation Systems (2019) — 118 citations
• A Tree-based Decoder for Neural Machine Translation (2018) — 57 citations
• Multilingual Neural Machine Translation With Soft Decoupled Encoding (2019) — 66 citations