J. Yang

Artificial Intelligence · with He · 2022

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Speech & Audio — 9 citations into it
• Signal Processing — 7 citations into it
• Natural Language Processing — 6 citations into it

Whom J. Yang trusts overall

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

1. Joon Son Chung
2. Arsha Nagrani
3. Eliya Nachmani
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Yu Zhang
7. Yoshua Bengio
8. Zhaoyu Liu
9. Jingzhou Yang
10. Lior Wolf

Papers from J. Yang's perspective

Ordered by how strongly the researchers J. Yang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training (2022) — 12 citations