Xiaoguang Li
Artificial Intelligence · with Liu · 2019–2022
A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Natural Language Processing — 66 citations into it
- Information Retrieval & Search — 49 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Evaluation & Benchmarks — 28 citations into it
- Large Language Models — 20 citations into it
- Information Systems — 12 citations into it
Whom Xiaoguang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Kyunghyun Cho
- Alex Krizhevsky
- Yann LeCun
- Jacob Devlin
- Kaiming He
- Alex Graves
Who trusts Xiaoguang Li overall
Papers from Xiaoguang Li's perspective
Ordered by how strongly the researchers Xiaoguang Li 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
- SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval (2020) — 123 citations
- Read before Generate! Faithful Long Form Question Answering with Machine Reading (2022) — 77 citations
- Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages (2022) — 71 citations
- HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions (2020) — 36 citations
- NEZHA: Neural Contextualized Representation for Chinese Language Understanding (2019) — 128 citations