Jing Yang

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #30,346 of 35,345 by trust here, #28,481 by citations
• Experimental and Cognitive Psychology — 9 citations into it; #7,573 of 9,731 by trust here, #7,398 by citations
• Signal Processing — 8 citations into it; #6,482 of 7,572 by trust here, #5,829 by citations

Whom Jing Yang trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Dzmitry Bahdanau
4. Erik M. Schmidt

Who trusts Jing Yang overall

1. Mustaqeem

Papers from Jing Yang's perspective

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

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

Their papers

• 3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018) — 441 citations