Xiaosong Du
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Statistical and Nonlinear Physics — 53 citations into it; #9,016 of 10,127 by trust here, #9,953 by citations
- Computational Mechanics — 48 citations into it; #9,059 of 10,001 by trust here, #9,862 by citations
- Statistics and Probability — 41 citations into it; #11,856 of 12,932 by trust here, #12,603 by citations
- Computer Vision and Pattern Recognition — 39 citations into it
- Computational Theory and Mathematics — 29 citations into it
- Aerospace Engineering — 20 citations into it
- Management Science and Operations Research — 14 citations into it
Whom Xiaosong Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David E. Goldberg
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Jonathon Shlens
- Dongbin Xiu
- Bruno Sudret
- Douglas A. Reynolds
- Yann LeCun
Who trusts Xiaosong Du overall
Papers from Xiaosong Du's perspective
Ordered by how strongly the researchers Xiaosong Du trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Aerodynamic inverse design using multifidelity models and manifold mapping (2019) — 46 citations
- Machine Learning in Aerodynamic Shape Optimization (2022) — 334 citations