Chao Song
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #26,803 of 35,345 by trust here, #19,873 by citations
- Graph Learning — 15 citations into it
- Building and Construction — 12 citations into it; #488 of 2,909 by trust here, #598 by citations
- Transportation — 12 citations into it; #442 of 2,062 by trust here, #292 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Chao Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Shengna Guo
- Billy M. Williams
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Joan Bruna
- Ting Yu
- Sepp Hochreiter
- Kaiming He
Who trusts Chao Song overall
- Zezhi Shao
- Mengzhang Li
- Saeed Rahmani
- Shengna Guo
- Xueyan Yin
- Zhao Zhang
- Zheng Fang
- Guangyin Jin
- Shiyong Lan
- Minhao Liu
Papers from Chao Song's perspective
Ordered by how strongly the researchers Chao Song 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
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)