Chen Zhao
Artificial Intelligence · with Boyd-Graber · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #26,816 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 74 citations into it; #4,092 of 5,688 by trust here, #3,369 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Information Retrieval & Search — 12 citations into it
- Information Systems — 8 citations into it
- Model Architectures — 7 citations into it
Whom Chen Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Sepp Hochreiter
- Alex Krizhevsky
- Kyunghyun Cho
- Jacob Devlin
- Yann LeCun
- Kaiming He
Who trusts Chen Zhao overall
- Yuyu Zhang
- Chenyan Xiong
- Jyun-Yu Jiang
- Zhenghao Liu
- Peng Qi
- Ping Nie
- Yunchang Zhu
- Ahmed Elgohary
- Wenhan Xiong
- Arun Ramamurthy
Papers from Chen Zhao's perspective
Ordered by how strongly the researchers Chen Zhao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries (2020) — 90 citations
- A dataset and baselines for sequential open-domain question answering (2018) — 47 citations
- Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention (2020) — 125 citations