Qian Li
Artificial Intelligence · arXiv.org · 2020–2023
A researcher in the Science corpus: 4 papers; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 346 citations into it
- Natural Language Processing — 183 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it
- Model Architectures — 42 citations into it
- Information Systems — 40 citations into it
- Management Science and Operations Research — 37 citations into it
- Representation & Self-Supervised Learning — 35 citations into it
- Molecular Biology — 31 citations into it
Whom Qian Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- Thorsten Joachims
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
Papers from Qian Li's perspective
Ordered by how strongly the researchers Qian Li trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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 Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT (2023) — 736 citations
- A Comprehensive Survey on Automatic Knowledge Graph Construction (2023) — 347 citations
- A Survey on Text Classification: From Shallow to Deep Learning (2020) — 173 citations
- A Survey on Text Classification: From Traditional to Deep Learning (2020) — 549 citations