Chang Xiao

Computational Mechanics · 2021

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 15 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Computer Graphics and Computer-Aided Design — 12 citations into it
• Generative Models — 10 citations into it
• 3D Vision & Pose — 7 citations into it
• Artificial Intelligence — 7 citations into it

Whom Chang Xiao trusts overall

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

1. Diederik P. Kingma
2. Zhiqin Chen
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Martín Arjovsky
9. Yann LeCun
10. Ashish Vaswani

Papers from Chang Xiao's perspective

Ordered by how strongly the researchers Chang Xiao 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. GENERATIVE ADVERSARIAL NETS

Their papers

• DeepCAD: A Deep Generative Network for Computer-Aided Design Models (2021) — 350 citations