Chenye Cui
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 4 papers; trusts 78 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 108 citations into it; #23,585 of 35,345 by trust here, #15,542 by citations
- Signal Processing — 95 citations into it; #4,883 of 7,572 by trust here, #2,457 by citations
- Speech & Audio — 69 citations into it
- Generative Models — 57 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Statistical and Nonlinear Physics — 16 citations into it
- Model Architectures — 13 citations into it
Whom Chenye Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Aäron van den Oord
- Alex Krizhevsky
- Yi Ren
- Ilya Sutskever
- Yann LeCun
- Alex Graves
Who trusts Chenye Cui overall
Papers from Chenye Cui's perspective
Ordered by how strongly the researchers Chenye Cui trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
Their papers
- ProDiff: Progressive Fast Diffusion Model for High-Quality Text-to-Speech (2022) — 259 citations
- GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech Synthesis (2022) — 36 citations
- SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation (2021) — 74 citations
- Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus (2021) — 135 citations