Xingyuan Zhao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Xingyuan Zhao trusts overall

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

1. Min-Ling Zhang
2. Diederik P. Kingma

Papers from Xingyuan Zhao's perspective

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

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

Their papers

• Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification (2019) — 41 citations