Xianzhong Ma

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #20,241 of 35,345 by trust here, #14,718 by citations
• Statistical and Nonlinear Physics — 8 citations into it; #5,243 of 10,127 by trust here, #2,708 by citations
• Model Architectures — 6 citations into it
• AI for Physical Sciences — 5 citations into it; #131 of 247 by trust here, #155 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Numerical Methods & Scientific Computing — 5 citations into it; #188 of 266 by trust here, #109 by citations

Whom Xianzhong Ma trusts overall

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

1. Kaiming He
2. Hayden Schaeffer
3. X. Zhang
4. Maizar Raissi

Who trusts Xianzhong Ma overall

1. Nils Thürey
2. Philipp Holl
3. Vincent Le Guen
4. Mengyu Chu

Papers from Xianzhong Ma's perspective

Ordered by how strongly the researchers Xianzhong Ma 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. Identity Mappings in Deep Residual Networks
3. ImageNet classification with deep convolutional neural networks
4. Deep Learning
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PDE-Net: Learning PDEs from Data (2017) — 886 citations