S. Zheng

Cognitive Neuroscience · with Allison · 2008–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 15 citations into it
• Cellular and Molecular Neuroscience — 8 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom S. Zheng trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jonathan R. Wolpaw (in Cognitive Neuroscience)
2. Dennis J. McFarland (in Cognitive Neuroscience)

Papers from S. Zheng's perspective

Ordered by how strongly the researchers S. Zheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Efficient Test-Time Model Adaptation without Forgetting (2022) — 647 citations
• Towards an independent brain-computer interface using steady state visual evoked potentials. (2008) — 354 citations