Xiaojuan He

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Graph Learning — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 13 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Model Architectures — 5 citations into it

Whom Xiaojuan He trusts overall

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

1. Ronald J. Williams
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Muhan Zhang
7. Yann LeCun
8. Jimmy Ba
9. Ruslan Salakhutdinov
10. Radford M. Neal

Papers from Xiaojuan He's perspective

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

Their papers

• Learning Discrete Structures for Graph Neural Networks (2019) — 522 citations