Ying Cao
Artificial Intelligence · with Li · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it; #23,746 of 35,345 by trust here, #7,531 by citations
- Natural Language Processing — 45 citations into it; #4,330 of 5,688 by trust here, #2,172 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #16,290 of 21,575 by trust here, #6,954 by citations
- Model Architectures — 25 citations into it
- Signal Processing — 16 citations into it
- Speech & Audio — 9 citations into it
Whom Ying Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Alex Graves
- Yann LeCun
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Oriol Vinyals
- Kaiming He
- Diederik P. Kingma
Who trusts Ying Cao overall
- Jonas Gehring
- Wang-Cheng Kang
- Yonatan Belinkov
- Michael Auli
- Quoc V. Le
- Zhen-Le Yang
- Ankur Bapna
- David R Ha
- Mingxuan Wang
- Denny Britz
Papers from Ying Cao's perspective
Ordered by how strongly the researchers Ying Cao 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation (2016) — 224 citations
- Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering (2016) — 104 citations
- Deep Speaker: an End-to-End Neural Speaker Embedding System (2017) — 533 citations