Longxiang Xie

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Molecular Biology — 20 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Longxiang Xie trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Jerome H. Friedman
4. J. Ross Quinlan
5. Mohammed Alquraishi
6. Kaiming He
7. Oriol Vinyals
8. Alex Krizhevsky
9. Yann LeCun
10. Ilya Sutskever

Papers from Longxiang Xie's perspective

Ordered by how strongly the researchers Longxiang Xie 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• The Application of Deep Learning in Cancer Prognosis Prediction (2020) — 316 citations
• Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV (2020) — 660 citations