Zhijun Liu
Artificial Intelligence · with Yu · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Speech & Audio — 55 citations into it
- Signal Processing — 49 citations into it
- Generative Models — 29 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Natural Language Processing — 11 citations into it
Whom Zhijun Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aäron van den Oord
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Xin Eric Wang
- Alex Graves
- Karen Simonyan
- Ilya Sutskever
- Kaiming He
Who trusts Zhijun Liu overall
Papers from Zhijun Liu's perspective
Ordered by how strongly the researchers Zhijun Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding (2023) — 66 citations
- DiffVoice: Text-to-Speech with Latent Diffusion (2023) — 32 citations
- Neural Homomorphic Vocoder (2020) — 26 citations