Xiangqian Guo

Artificial Intelligence · with Xie · 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 Xiangqian Guo 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

Papers from Xiangqian Guo's perspective

Ordered by how strongly the researchers Xiangqian Guo 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

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