Jia-Xing Zhong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it

Whom Jia-Xing Zhong trusts overall

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

1. Sergey Ioffe
2. Andrew Zisserman
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Christian Szegedy
7. Karen Simonyan
8. Arash Vahdat
9. Diederik P. Kingma
10. Kaiming He

Who trusts Jia-Xing Zhong overall

1. Sijie Li
2. Jianfeng Feng
3. Yu Tian
4. Peng Wu
5. Licheng Jiao
6. Fa-Ting Hong

Papers from Jia-Xing Zhong's perspective

Ordered by how strongly the researchers Jia-Xing Zhong 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection (2019) — 535 citations