Zhuanghua Liu
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #15,375 of 35,345 by trust here, #29,412 by citations
- Computer Networks and Communications — 7 citations into it; #3,595 of 9,886 by trust here, #7,832 by citations
- Signal Processing — 7 citations into it; #3,007 of 7,572 by trust here, #6,083 by citations
Whom Zhuanghua Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan Goh
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Nitish Srivastava
- Max Welling
- Ian J. Goodfellow
- Alex Krizhevsky
- Alban Siffer
- Dan Li
Who trusts Zhuanghua Liu overall
Papers from Zhuanghua Liu's perspective
Ordered by how strongly the researchers Zhuanghua Liu 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
- Long Short-Term Memory
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database