Xin Zhao

Artificial Intelligence · with Liu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #26,509 of 35,345 by trust here, #9,968 by citations
• Natural Language Processing — 39 citations into it
• Information Retrieval & Search — 28 citations into it; #773 of 1,022 by trust here, #319 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #16,355 of 21,575 by trust here, #7,027 by citations

Whom Xin Zhao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Tomas Mikolov
5. Diederik P. Kingma
6. Sepp Hochreiter
7. Kyunghyun Cho
8. Alex Krizhevsky
9. Yann LeCun
10. Yoon Kim

Who trusts Xin Zhao overall

1. Jimmy J. Lin
2. Luyu Gao
3. Jamie Callan

Papers from Xin Zhao's perspective

Ordered by how strongly the researchers Xin Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering (2020) — 749 citations
• UER: An Open-Source Toolkit for Pre-training Models (2019) — 145 citations