Yizhuo Dong

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 248 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 147 citations into it
• Signal Processing — 83 citations into it
• Speech & Audio — 54 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 33 citations into it
• Natural Language Processing — 32 citations into it
• Model Architectures — 16 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Yizhuo Dong trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Graves
4. Yoshua Bengio
5. Heiga Zen
6. Alex Krizhevsky
7. Ilya Sutskever
8. Sepp Hochreiter
9. Yann LeCun
10. Kaiming He

Papers from Yizhuo Dong's perspective

Ordered by how strongly the researchers Yizhuo Dong 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Review of end-to-end speech synthesis technology based on deep learning (2021) — 32 citations