Xiaonan Li
Artificial Intelligence · with Qiu · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #16,501 of 35,345 by trust here, #13,760 by citations
- Natural Language Processing — 40 citations into it; #3,421 of 5,688 by trust here, #3,478 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Model Architectures — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Xiaonan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Lafferty
- Geoffrey E. Hinton
- Yoshua Bengio
- Guillaume Lample
- Diederik P. Kingma
- Jie Yang
- Ashish Vaswani
- Tomas Mikolov
- Zihang Dai
- Ilya Sutskever
Who trusts Xiaonan Li overall
Papers from Xiaonan Li's perspective
Ordered by how strongly the researchers Xiaonan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation (2019) — 113 citations
- TENER: Adapting Transformer Encoder for Named Entity Recognition (2019) — 302 citations
- FLAT: Chinese NER Using Flat-Lattice Transformer (2020) — 451 citations
- CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search (2022)