Yongtian He
Cognitive Neuroscience · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 26 citations into it
- Signal Processing — 9 citations into it
- Cellular and Molecular Neuroscience — 5 citations into it
Whom Yongtian He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yongtian He's perspective
Ordered by how strongly the researchers Yongtian He trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Speech recognition with deep recurrent neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning long-term dependencies with gradient descent is difficult
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Generating Text with Recurrent Neural Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Deep learning for electroencephalogram (EEG) classification tasks: a review (2019) — 1,577 citations