Yihong Luo
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Generative Models — 15 citations into it
- Probabilistic & Bayesian Methods — 14 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
Whom Yihong Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Laurent Dinh
- Tim Salimans
- Geoffrey E. Hinton
- Michael F. Hutchinson
- Yoshua Bengio
- Max Welling
- Ilya Sutskever
- Radford M. Neal
Papers from Yihong Luo's perspective
Ordered by how strongly the researchers Yihong Luo 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
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)