Chenxin Xiong

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Graph Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Model Architectures — 11 citations into it
• Molecular Biology — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Chenxin Xiong trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Yann LeCun
5. Alex Krizhevsky
6. Sergey Ioffe
7. Jimmy Ba
8. Diederik P. Kingma
9. X. Zhang
10. Christian Szegedy

Who trusts Chenxin Xiong overall

1. Chengxuan Ying
2. Dexiong Chen
3. Jean Kaddour
4. Guohao Li
5. Tuan Le
6. Xingyu Xie

Papers from Chenxin Xiong's perspective

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

Their papers

• DeeperGCN: All You Need to Train Deeper GCNs (2020) — 529 citations