Jian Zhong
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
Whom Jian Zhong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yann LeCun
- Kaiming He
- Yoshua Bengio
- Jimmy Ba
- Ilya Sutskever
- L. V. D. van der Maaten
- L. Eon Bottou
Who trusts Jian Zhong overall
Papers from Jian Zhong's perspective
Ordered by how strongly the researchers Jian Zhong 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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)