Jing Xiao

Artificial Intelligence · with Chen · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #24,056 of 35,345 by trust here, #12,083 by citations
• Speech & Audio — 35 citations into it
• Signal Processing — 32 citations into it; #5,096 of 7,572 by trust here, #1,669 by citations
• Natural Language Processing — 22 citations into it
• Generative Models — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jing Xiao trusts overall

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

1. Diederik P. Kingma
2. Wei Ping

Who trusts Jing Xiao overall

1. Xu Tan
2. Tao Qin
3. Tie-Yan Liu
4. Dan Su

Papers from Jing Xiao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. WaveNet: A Generative Model for Raw Audio
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Density estimation using Real NVP

Their papers

• Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow (2020) — 117 citations
• EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture (2020) — 46 citations
• Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding (2019) — 61 citations