Yu Hu

Artificial Intelligence · Scientific Reports · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Yu Hu trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Sergey Ioffe
5. Yoshua Bengio
6. Kaiming He
7. Christian Szegedy
8. Dzmitry Bahdanau
9. Yann LeCun
10. Jan Chorowski

Who trusts Yu Hu overall

1. Dezhen Xiong

Papers from Yu Hu's perspective

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

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

Their papers

• Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation (2017) — 351 citations
• Gesture recognition by instantaneous surface EMG images (2016) — 536 citations
• A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition (2018) — 381 citations