Haibo Yang
Artificial Intelligence · with Fang · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #28,101 of 35,345 by trust here, #29,412 by citations
- Optimization & Training — 21 citations into it
- Federated & Distributed Learning — 20 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- ML Systems & Hardware — 8 citations into it
Whom Haibo Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Sebastian U. Stich
- Hao Yu
- L. Eon Bottou
- Yann LeCun
- H. Brendan McMahan
- El Mahdi El Mhamdi
- Jianyu Wang
- Ahmed Khaled
- Tian Li
Who trusts Haibo Yang overall
Papers from Haibo Yang's perspective
Ordered by how strongly the researchers Haibo Yang 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
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)