Zhiyong Wu
Artificial Intelligence · with Wang · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it
- Signal Processing — 74 citations into it
- Speech & Audio — 55 citations into it
- Natural Language Processing — 36 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Model Architectures — 16 citations into it
- Generative Models — 9 citations into it
- Optimization & Training — 8 citations into it
Whom Zhiyong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Heiga Zen
- Ilya Sutskever
- Kaiming He
- Alex Krizhevsky
- Jimmy Ba
- Aäron van den Oord
Papers from Zhiyong Wu's perspective
Ordered by how strongly the researchers Zhiyong Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Speech-XLNet: Unsupervised Acoustic Model Pretraining For Self-Attention Networks (2019) — 54 citations
- Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion (2022) — 45 citations
- FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement (2022) — 152 citations
- Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement (2020) — 7 citations
- Code-Switched Speech Synthesis Using Bilingual Phonetic Posteriorgram with Only Monolingual Corpora (2020) — 22 citations
- A Review of Deep Learning Based Speech Synthesis (2019) — 164 citations