Yanglan Ou
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 109 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #28,748 of 35,345 by trust here, #23,077 by citations
- Computer Vision and Pattern Recognition — 33 citations into it
- Automotive Engineering — 20 citations into it
- Natural Language Processing — 19 citations into it
- Model Architectures — 13 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Yanglan Ou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Richard Socher
- Ilya Sutskever
- Sepp Hochreiter
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Christopher D. Manning
Who trusts Yanglan Ou overall
Papers from Yanglan Ou's perspective
Ordered by how strongly the researchers Yanglan Ou 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting (2021) — 727 citations
- Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks (2018) — 359 citations