Xiangjian He

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Computer Networks and Communications — 11 citations into it

Whom Xiangjian He trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Christian Szegedy
5. Matthew D. Zeiler
6. Yoshua Bengio
7. Yann LeCun
8. Nitish Srivastava
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Xiangjian He overall

1. Nadia Chaabouni

Papers from Xiangjian He's perspective

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

Their papers

• Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019) — 1,522 citations
• Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm (2016) — 561 citations