Jiandong Xu

Information Systems · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Recommender Systems — 12 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Jiandong Xu trusts overall

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

1. Xiangnan He

Papers from Jiandong Xu's perspective

Ordered by how strongly the researchers Jiandong Xu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Item-based Collaborative Filtering for Top-N Recommendation (2018) — 313 citations