Ya Li

Artificial Intelligence · with Huang · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Ya Li trusts overall

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

1. Matthew D. Zeiler
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Björn Schuller
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Yusuf Aytar

Papers from Ya Li's perspective

Ordered by how strongly the researchers Ya Li 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning (2018) — 18 citations
• Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018) — 35 citations