Qingyu Chen
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it
- Natural Language Processing — 27 citations into it
Whom Qingyu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Yoshua Bengio
- Geoffrey E. Hinton
- Andriy Mnih
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Jeffrey Pennington
- Richard Socher
- Tom Kenter
Papers from Qingyu Chen's perspective
Ordered by how strongly the researchers Qingyu Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- BioWordVec, improving biomedical word embeddings with subword information and MeSH (2019) — 497 citations
- Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health (2023) — 408 citations
- DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs (2018) — 314 citations