Zaiwen Wen
Computational Mechanics · 2010–2018
A researcher in the Science corpus: 6 papers; trusts 89 researchers and is trusted by 76 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 94 citations into it; #408 of 10,001 by trust here, #962 by citations
- Optimization & Training — 49 citations into it
- Artificial Intelligence — 47 citations into it
- Numerical Analysis — 46 citations into it; #164 of 3,586 by trust here, #382 by citations
- Computational Theory and Mathematics — 32 citations into it; #2,883 of 12,182 by trust here, #5,724 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #5,641 of 21,575 by trust here, #8,502 by citations
- Signal Processing — 15 citations into it; #631 of 7,572 by trust here, #1,904 by citations
- Mathematical Optimization — 14 citations into it
Whom Zaiwen Wen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Junfeng Yang
- Bingsheng He
- Paul Tseng
- Steven Thomas Smith
- Yurii E. Nesterov
- Yin Zhang
- Xinyuan Zhao
- Wotao Yin
- Shiqian Ma
Who trusts Zaiwen Wen overall
- Brendan O'Donoghue
- Yangyang Xu
- Wotao Yin
- Yin Zhang
- Junfeng Yang
- Bart Vandereycken
- Yuan Shen
- Lei Huang
- Sundeep Rangan
- Canyi Lu
Papers from Zaiwen Wen's perspective
Ordered by how strongly the researchers Zaiwen Wen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Their papers
- Alternating direction augmented Lagrangian methods for semidefinite programming (2010) — 425 citations
- A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (2018) — 38 citations
- Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization (2014) — 330 citations
- Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm (2012) — 824 citations
- A feasible method for optimization with orthogonality constraints (2012) — 971 citations
- An alternating direction algorithm for matrix completion with nonnegative factors (2011) — 376 citations