Pengcheng Yang
Artificial Intelligence · with Sun · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it
- Natural Language Processing — 41 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Model Architectures — 12 citations into it
- Reinforcement Learning — 5 citations into it
Whom Pengcheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoon Kim
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- J. Urgen Schmidhuber
- Dzmitry Bahdanau
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Ronald J. Williams
Who trusts Pengcheng Yang overall
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.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (2019) — 188 citations
- Asking Clarification Questions in Knowledge-Based Question Answering (2019) — 80 citations
- SGM: Sequence Generation Model for Multi-label Classification (2018) — 434 citations