Yuan Ling
Artificial Intelligence · with Farri · 2017–2018
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Natural Language Processing — 39 citations into it
- Reinforcement Learning — 13 citations into it
- Medical & Health AI — 11 citations into it
- Molecular Biology — 10 citations into it
Whom Yuan Ling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Richard Bellman
- Edward Choi
- Karthik Narasimhan
- Geoffrey E. Hinton
- Andrew Barto
- Yoshua Bengio
- Zachary Chase Lipton
- Olivier Bodenreider
- Kirk Roberts
Who trusts Yuan Ling overall
Papers from Yuan Ling's perspective
Ordered by how strongly the researchers Yuan Ling 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
- ImageNet classification with deep convolutional neural networks
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference (2018) — 105 citations
- Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task (2018) — 117 citations
- Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning (2017) — 29 citations
- Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study (2017) — 43 citations