Zhiying Fang
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Optimization & Training — 15 citations into it
- Statistical Learning Theory — 14 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Model Architectures — 10 citations into it
- Computational Mechanics — 8 citations into it
- Mathematical Physics — 5 citations into it
Whom Zhiying Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francis R. Bach
- Steve Smale
- Kaiming He
- Suriya Gunasekar
- Simon Shaolei Du
- Geoffrey E. Hinton
- Daniel Soudry
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
Who trusts Zhiying Fang overall
Papers from Zhiying Fang's perspective
Ordered by how strongly the researchers Zhiying Fang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Towards Understanding the Spectral Bias of Deep Learning (2019) — 313 citations