Chanqin Quan
Artificial Intelligence · 2016
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #31,695 of 35,345 by trust here, #32,362 by citations
- Molecular Biology — 13 citations into it; #9,321 of 17,773 by trust here, #15,850 by citations
- Natural Language Processing — 10 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Chanqin Quan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tomas Mikolov
- Yoshua Bengio
- Ilya Sutskever
- Sampo Pyysalo
- Andriy Mnih
- Alex Graves
- Yoon Kim
Who trusts Chanqin Quan overall
Papers from Chanqin Quan's perspective
Ordered by how strongly the researchers Chanqin Quan trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction (2016) — 56 citations
- Multichannel Convolutional Neural Network for Biological Relation Extraction (2016) — 140 citations