Yazhou Zhang
Cognitive Neuroscience · 2022
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 54 citations into it
- Experimental and Cognitive Psychology — 36 citations into it
- Artificial Intelligence — 12 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Yazhou Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei-Long Zheng
- Andrew Y. Ng
- Bao-Liang Lu
- Mohammad Soleymani
- Isabelle M Guyon
- Soraia M. Alarcão
- Stamos Katsigiannis
- Geoffrey E. Hinton
Papers from Yazhou Zhang's perspective
Ordered by how strongly the researchers Yazhou Zhang 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)
- A Fast Learning Algorithm for Deep Belief Nets
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (IEEE Transactions on Autonomous Mental Development)
Their papers
- EEG Based Emotion Recognition: A Tutorial and Review (2022) — 462 citations