Jing Li
Artificial Intelligence · with Han · 2018
A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Natural Language Processing — 34 citations into it
- Management Science and Operations Research — 10 citations into it
- Molecular Biology — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Information Systems — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Model Architectures — 5 citations into it
Whom Jing Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alec Radford
- Ruslan Salakhutdinov
- Alex Krizhevsky
- J. Ross Quinlan
- Yann LeCun
- Ronan Collobert
Who trusts Jing Li overall
Papers from Jing Li's perspective
Ordered by how strongly the researchers Jing Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Survey on Deep Learning for Named Entity Recognition (2018) — 1,494 citations