Pengcheng Yang
Artificial Intelligence · with Chang · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
Whom Pengcheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pengcheng Yang's perspective
Ordered by how strongly the researchers Pengcheng Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Effective Approaches to Attention-based Neural Machine Translation
Their papers
- Learning to Control the Fine-grained Sentiment for Story Ending Generation (2019) — 54 citations