Shi-Xiong Zhang
Signal Processing · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 94 citations into it
- Artificial Intelligence — 69 citations into it
- Speech & Audio — 42 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Model Architectures — 25 citations into it
- Cognitive Neuroscience — 21 citations into it
- Natural Language Processing — 21 citations into it
- Optimization & Training — 8 citations into it
Whom Shi-Xiong Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Sergey Ioffe
- Florin Curelaru
- Yoshua Bengio
- Patrick Kenny
- Diederik P. Kingma
- Andrew Zisserman
- Christian Szegedy
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Shi-Xiong Zhang overall
Papers from Shi-Xiong Zhang's perspective
Ordered by how strongly the researchers Shi-Xiong Zhang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- End-to-End attention based text-dependent speaker verification (2016) — 181 citations
- Complex Neural Spatial Filter: Enhancing Multi-Channel Target Speech Separation in Complex Domain (2021) — 41 citations
- An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation (2020) — 337 citations