Yunmei Chen
Computational Mechanics · 2002–2014
A researcher in the Science corpus: 8 papers; trusts 26 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 33 citations into it; #1,445 of 10,001 by trust here, #1,006 by citations
- Computer Vision and Pattern Recognition — 31 citations into it; #7,350 of 21,575 by trust here, #6,326 by citations
- Optimization & Training — 25 citations into it
- Artificial Intelligence — 22 citations into it; #14,050 of 35,345 by trust here, #18,186 by citations
- Computational Theory and Mathematics — 19 citations into it; #4,276 of 12,182 by trust here, #3,117 by citations
- Numerical Analysis — 16 citations into it; #705 of 3,586 by trust here, #710 by citations
- Mathematical Optimization — 13 citations into it; #330 of 422 by trust here, #339 by citations
- Management Science and Operations Research — 11 citations into it
Whom Yunmei Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Arkadi Nemirovski
- Guanghui Lan
- Saeed Ghadimi
- Anatoli B. Juditsky
- Tony F. Chan
- Stanley J. Osher
- Antonin Chambolle
- R. Tyrrell Rockafellar
- Alexander Shapiro
Who trusts Yunmei Chen overall
- Vicentiu D. Rădulescu
- P. Hasto
- Waïss Azizian
- Petteri Harjulehto
- Mengdi Wang
- Antonin Chambolle
- Lars Diening
- Guanghui Lan
- Leszek Gasinski
- Guowei Dai
Papers from Yunmei Chen's perspective
Ordered by how strongly the researchers Yunmei Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- A Stochastic Approximation Method
- ImageNet classification with deep convolutional neural networks
- Stochastic Approximation approach to Stochastic Programming
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Nonlinear total variation based noise removal algorithms
- Problem Complexity and Method Efficiency in Optimization
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Using Prior Shapes in Geometric Active Contours in a Variational Framework (2002) — 471 citations
- Optimal Primal-Dual Methods for a Class of Saddle Point Problems (2013) — 280 citations
- Accelerated schemes for a class of variational inequalities (2014) — 138 citations
- Cumulative residual entropy: a new measure of information (2004) — 607 citations
- Projection Onto A Simplex (2011) — 250 citations
- Variable Exponent, Linear Growth Functionals in Image Restoration (2006) — 1,772 citations
- Handbook of Mathematical Models in Computer Vision (2005) — 700 citations
- Adaptive total variation for image restoration in BV space (2002) — 71 citations