Yong Zhao
Artificial Intelligence · with Gong · 2012–2019
A researcher in the Science corpus: 4 papers; trusts 55 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #17,689 of 35,345 by trust here, #19,873 by citations
- Signal Processing — 55 citations into it; #3,605 of 7,572 by trust here, #5,340 by citations
- Speech & Audio — 25 citations into it
- Natural Language Processing — 12 citations into it
- Model Architectures — 8 citations into it
- Efficiency & Compression — 6 citations into it; #968 of 1,264 by trust here, #1,174 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Yong Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dong Yu
- Mark John Francis Gales
- Geoffrey E. Hinton
- Li Deng
- Huaiyu Zhu
- Frank Torsten Bernd Seide
- Jinyu Li
- George E. Dahl
- A. Acero
- David E. Rumelhart
Who trusts Yong Zhao overall
Papers from Yong Zhao's perspective
Ordered by how strongly the researchers Yong Zhao 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- End-to-End attention based text-dependent speaker verification (2016) — 181 citations
- Nonlinear Compensation Using the Gauss–Newton Method for Noise-Robust Speech Recognition (2012) — 12 citations
- Low-rank plus diagonal adaptation for deep neural networks (2016) — 71 citations
- Conditional Teacher-student Learning (2019) — 116 citations