Jing Zheng

Probabilistic & Bayesian Methods · with Fu · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Jing Zheng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Simon Osindero
3. Yoshua Bengio
4. Yann LeCun
5. Yee Whye Teh
6. Ruslan Salakhutdinov
7. J. Urgen Schmidhuber
8. Radford M. Neal
9. Brendan J. Frey
10. Alex Krizhevsky

Papers from Jing Zheng's perspective

Ordered by how strongly the researchers Jing Zheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. A Fast Learning Algorithm for Deep Belief Nets
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Research on exchange rate forecasting based on deep belief network (2017) — 57 citations