Qingyang Hong
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Speech & Audio — 20 citations into it
- Signal Processing — 19 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Qingyang Hong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qingyang Hong's perspective
Ordered by how strongly the researchers Qingyang Hong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Dropout: a simple way to prevent neural networks from overfitting
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)