Jinchao Xu

Computational Mechanics · 2002–2019

A researcher in the Science corpus: 11 papers; trusts 23 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 40 citations into it; #2,276 of 10,001 by trust here, #6,041 by citations
• Mechanics of Materials — 21 citations into it; #2,233 of 6,291 by trust here, #3,809 by citations
• Computational Theory and Mathematics — 18 citations into it; #1,984 of 12,182 by trust here, #4,696 by citations
• Numerical Analysis — 9 citations into it; #1,016 of 3,586 by trust here, #1,831 by citations
• Artificial Intelligence — 8 citations into it; #26,584 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 6 citations into it; #2,118 of 2,278 by trust here, #2,243 by citations
• Statistical and Nonlinear Physics — 5 citations into it; #7,264 of 10,127 by trust here, #5,625 by citations

Whom Jinchao Xu trusts overall

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

1. Yalchin R. Efendiev
2. Robert D. Falgout
3. Yuly Makovoz
4. Marco Discacciati
5. Franco Brezzi
6. Alex Krizhevsky
7. Vivette Girault
8. Philippe G. Ciarlet
9. Brian Straughan
10. Yann LeCun

Who trusts Jinchao Xu overall

1. Paola Francesca Antonietti
2. Juan Galvis
3. Yalchin R. Efendiev
4. Deanna Needell
5. B. Ayuso
6. James J. Brannick
7. Haijun Wu
8. Joel A. Tropp
9. Ludmil T. Zikatanov
10. Zhiming Chen

Papers from Jinchao Xu's perspective

Ordered by how strongly the researchers Jinchao Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Deep Learning

Their papers

• On an energy minimizing basis for algebraic multigrid methods (2004) — 117 citations
• The method of alternating projections and the method of subspace corrections in Hilbert space (2002) — 306 citations
• A Two-Grid Method of a Mixed Stokes-Darcy Model for Coupling Fluid Flow with Porous Media Flow (2007) — 325 citations
• Approximation rates for neural networks with general activation functions (2019) — 191 citations
• Relu Deep Neural Networks and Linear Finite Elements (2018) — 364 citations
• A DISCONTINUOUS GALERKIN METHOD FOR THE FOURTH-ORDER CURL PROBLEM * (2012) — 58 citations
• UNIFORM CONVERGENT MULTIGRID METHODS FOR ELLIPTIC PROBLEMS WITH STRONGLY DISCONTINUOUS COEFFICIENTS (2008) — 106 citations
• UNIFORMLY-STABLE FINITE ELEMENT METHODS FOR DARCY-STOKES-BRINKMAN MODELS (2008) — 158 citations
• ROBUST SUBSPACE CORRECTION METHODS FOR NEARLY SINGULAR SYSTEMS (2007) — 88 citations
• SOME n-RECTANGLE NONCONFORMING ELEMENTS FOR FOURTH ORDER ELLIPTIC EQUATIONS (2007) — 63 citations
• Nodal Auxiliary Space Preconditioning in H(curl) and H(div) Spaces (2007) — 397 citations