Ruibo Fu

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Signal Processing — 55 citations into it
• Speech & Audio — 39 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Natural Language Processing — 16 citations into it

Whom Ruibo Fu trusts overall

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

1. Jean-Marc Valin
2. Heiga Zen
3. Yuxuan Wang
4. Geoffrey E. Hinton
5. Paul Taylor
6. R. Skerry-Ryan
7. L. V. D. van der Maaten
8. Aäron van den Oord
9. Yoshua Bengio
10. Tomoki Toda

Papers from Ruibo Fu's perspective

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

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

Their papers

• An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era (2022) — 105 citations
• Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation (2020) — 24 citations
• Bi-Level Speaker Supervision for One-Shot Speech Synthesis (2020) — 10 citations