Danlu Chen
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #18,722 of 35,345 by trust here, #30,347 by citations
- Computer Vision and Pattern Recognition — 30 citations into it; #8,900 of 21,575 by trust here, #5,843 by citations
- Model Architectures — 11 citations into it
- Natural Language Processing — 11 citations into it
Whom Danlu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Alex Graves
- Ilya Sutskever
- Yann LeCun
- Yoshua Bengio
- Christian Szegedy
- Diederik P. Kingma
- Gao Huang
Who trusts Danlu Chen overall
- Changhan Wang
- Yulin Wang
- Frederick Tung
- Ji Xin
- Yinpeng Chen
- Jiahui Yu
- Anne Wu
- Linfeng Zhang
- Anbang Yao
- Shaofeng Cai
Papers from Danlu Chen's perspective
Ordered by how strongly the researchers Danlu Chen 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multi-Scale Dense Networks for Resource Efficient Image Classification (2017) — 900 citations
- Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism. (2020) — 600 citations
- VizSeq: a visual analysis toolkit for text generation tasks (2019) — 30 citations