Wanying Xie
Artificial Intelligence · with Feng · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 108 citations into it
- Natural Language Processing — 86 citations into it
- Computer Vision and Pattern Recognition — 76 citations into it
- Model Architectures — 21 citations into it
- Efficiency & Compression — 10 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Wanying Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Rico Sennrich
- Geoffrey E. Hinton
- Ilya Sutskever
- Matt Post
- Ronald J. Williams
- Diederik P. Kingma
- Kyunghyun Cho
- Dzmitry Bahdanau
- Oriol Vinyals
Papers from Wanying Xie's perspective
Ordered by how strongly the researchers Wanying Xie trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Importance-based Neuron Allocation for Multilingual Neural Machine Translation (2021) — 42 citations
- Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation (2021) — 33 citations
- Token-level Adaptive Training for Neural Machine Translation (2020) — 39 citations
- Modeling Fluency and Faithfulness for Diverse Neural Machine Translation (2019) — 28 citations