Siyang Zuo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Siyang Zuo trusts

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

1. L. Eon Bottou (in Artificial Intelligence)

Papers from Siyang Zuo's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Understanding the difficulty of training deep feedforward neural networks
4. Identity Mappings in Deep Residual Networks
5. Representation Learning: A Review and New Perspectives
6. Large-Scale Machine Learning with Stochastic Gradient Descent
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation (2019) — 412 citations