Yuan Zong
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Experimental and Cognitive Psychology — 26 citations into it; #6,434 of 9,731 by trust here, #4,872 by citations
- Artificial Intelligence — 25 citations into it
- Cognitive Neuroscience — 25 citations into it; #7,381 of 10,852 by trust here, #6,180 by citations
- Model Architectures — 8 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Yuan Zong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei-Long Zheng
- L. Eon Bottou
- Rodrigo Malacarne
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Ronald J. Williams
- Bao-Liang Lu
- Alex Krizhevsky
- Masashi Sugiyama
Who trusts Yuan Zong overall
Papers from Yuan Zong's perspective
Ordered by how strongly the researchers Yuan Zong 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition (2021) — 311 citations
- A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition (2019) — 325 citations
- Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2017) — 504 citations