Zhaoxi Mu

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 Zhaoxi Mu trusts overall

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

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

Papers from Zhaoxi Mu's perspective

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

Their papers

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