Fengpeng Yue

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Speech & Audio — 57 citations into it
• Signal Processing — 34 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 8 citations into it

Whom Fengpeng Yue trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Joon Son Chung
6. Arsha Nagrani
7. Jimmy Ba
8. Andrew Zisserman
9. Vassil Panayotov
10. Alex Krizhevsky

Papers from Fengpeng Yue's perspective

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

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

Their papers

• PolyVoice: Language Models for Speech to Speech Translation (2023) — 35 citations
• Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation (2022) — 19 citations
• Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation (2021) — 9 citations