Yunkai Zhang
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it
- Natural Language Processing — 60 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
Whom Yunkai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kyunghyun Cho
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Alex Graves
- Dzmitry Bahdanau
- Kaiming He
Papers from Yunkai Zhang's perspective
Ordered by how strongly the researchers Yunkai Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- TabFact: A Large-scale Dataset for Table-based Fact Verification (2019) — 700 citations
- Logic2Text: High-Fidelity Natural Language Generation from Logical Forms (2020) — 75 citations
- Multi-step Deep Autoregressive Forecasting with Latent States (2019)