Feiyu Shen
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it
- Speech & Audio — 49 citations into it
- Signal Processing — 46 citations into it
- Natural Language Processing — 10 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Feiyu Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Heiga Zen
- Jimmy Ba
- Chenpeng Du
- Yoshua Bengio
- Alex Graves
- Alex Krizhevsky
- Jeffrey Pennington
- Ashish Vaswani
Papers from Feiyu Shen's perspective
Ordered by how strongly the researchers Feiyu Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding (2023) — 66 citations
- Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS (2023) — 48 citations
- Acoustic Word Embeddings for End-to-End Speech Synthesis (2021) — 4 citations