Qiao Jin
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it
- Natural Language Processing — 62 citations into it
- Molecular Biology — 25 citations into it
- Information Retrieval & Search — 11 citations into it
Whom Qiao Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Christopher D. Manning
- Diederik P. Kingma
- Ilya Sutskever
- Jason Aaron Edward Weston
- Alex Krizhevsky
- Yann LeCun
- Jacob Devlin
- Richard Socher
Who trusts Qiao Jin overall
- Hayden S. Helm
- Guangzhi Xiong
- Michihiro Yasunaga
- Eric Mitchell
- Xiangru Tang
- Jianlv Chen
- Kai He
- Renqian Luo
- Yu Gu
- Nicola De Cao
Papers from Qiao Jin's perspective
Ordered by how strongly the researchers Qiao Jin 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Neural Models for Reasoning over Multiple Mentions Using Coreference (2018) — 108 citations
- PubMedQA: A Dataset for Biomedical Research Question Answering (2019) — 1,772 citations
- Benchmarking Retrieval-Augmented Generation for Medicine (2024) — 563 citations
- Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health (2023) — 408 citations