Minghui Dong

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #23,207 of 35,345 by trust here, #26,682 by citations
• Speech & Audio — 12 citations into it
• Signal Processing — 10 citations into it; #7,521 of 7,572 by trust here, #6,355 by citations
• Natural Language Processing — 6 citations into it

Whom Minghui Dong trusts overall

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

1. Heiga Zen
2. Paul P. G. Boersma
3. Daniel W. Griffin
4. Alan W. Black
5. Daniel Klein
6. Geoffrey E. Hinton
7. Zhenhua Ling
8. Shiyin Kang
9. Christopher D. Manning
10. Keiichi Tokuda

Who trusts Minghui Dong overall

1. Xu Tan
2. Takuma Okamoto

Papers from Minghui Dong's perspective

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

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

Their papers

• Implementing Prosodic Phrasing in Chinese End-to-end Speech Synthesis (2019) — 29 citations
• Mandarin Prosodic Phrase Prediction based on Syntactic Trees (2016) — 11 citations