Xuehai He

Artificial Intelligence · with Zhang · 2020

A researcher in the Science corpus: 3 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Model Architectures — 10 citations into it
• Natural Language Processing — 9 citations into it
• Optimization & Training — 8 citations into it

Whom Xuehai He trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Ross B. Girshick
7. Yoshua Bengio
8. Jimmy Ba
9. Ilya Sutskever
10. Yann LeCun

Who trusts Xuehai He overall

1. Maryam Rahnemoonfar
2. Kai He

Papers from Xuehai He's perspective

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

Their papers

• PathVQA: 30000+ Questions for Medical Visual Question Answering (2020) — 536 citations
• Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans (2020) — 393 citations
• COVID-CT-Dataset: A CT Scan Dataset about COVID-19 (2020) — 910 citations