Rui Jiang

Artificial Intelligence · with Fu · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Rui Jiang trusts overall

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

1. Josh Tenenbaum
2. Eric R. Ziegel
3. Xiaofei He
4. Sam T. Roweis
5. Mikhail Belkin
6. Partha Niyogi
7. T. Shi
8. Lawrence K. Saul
9. Shuicheng Yan
10. Geoffrey E. Hinton

Papers from Rui Jiang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection (2016) — 30 citations