Fanhua Shang
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it
- Optimization & Training — 43 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Computational Mechanics — 25 citations into it
- Management Science and Operations Research — 9 citations into it
- Computational Theory and Mathematics — 6 citations into it
- Mathematical Optimization — 5 citations into it
Whom Fanhua Shang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Tong Zhang
- Zeyuan Allen-Zhu
- Alex Krizhevsky
- Julien Mairal
- Shai Shalev-Shwartz
- Geoffrey E. Hinton
- Francis R. Bach
- Guanghui Lan
- Mark W. Schmidt
Who trusts Fanhua Shang overall
Papers from Fanhua Shang's perspective
Ordered by how strongly the researchers Fanhua Shang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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
- Deep Residual-Dense Lattice Network for Speech Enhancement (2020) — 42 citations
- Exploring Example Influence in Continual Learning (2022) — 66 citations
- Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization (2018) — 9 citations
- Maximum margin multiple-instance feature weighting (2014) — 14 citations