Shiqian Ma
Computational Mechanics · 2008–2016
A researcher in the Science corpus: 7 papers; trusts 102 researchers and is trusted by 83 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 96 citations into it; #416 of 10,001 by trust here, #719 by citations
- Optimization & Training — 61 citations into it; #1,178 of 2,601 by trust here, #1,385 by citations
- Artificial Intelligence — 48 citations into it; #11,819 of 35,345 by trust here, #13,962 by citations
- Computer Vision and Pattern Recognition — 28 citations into it
- Statistics and Probability — 27 citations into it; #5,939 of 12,932 by trust here, #6,552 by citations
- Numerical Analysis — 26 citations into it; #160 of 3,586 by trust here, #176 by citations
- Computational Theory and Mathematics — 24 citations into it
- Mathematical Optimization — 21 citations into it
Whom Shiqian Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- David L. Donoho
- Yurii E. Nesterov
- Robert Tibshirani
- Joel A. Tropp
- Francis R. Bach
- Guanghui Lan
- Rick Chartrand
- B. Recht
- Tong Zhang
Who trusts Shiqian Ma overall
- Paul Tseng
- Junfeng Yang
- Zaiwen Wen
- Feiping Nie
- B. Recht
- Bart Vandereycken
- Hao Yi Ong
- Wotao Yin
- Rick Chartrand
- Shuiwang Ji
Papers from Shiqian Ma's perspective
Ordered by how strongly the researchers Shiqian Ma 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)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization (2016) — 198 citations
- Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices (2012) — 177 citations
- Barzilai-Borwein Step Size for Stochastic Gradient Descent (2016) — 203 citations
- Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization (2015) — 150 citations
- Fixed point and Bregman iterative methods for matrix rank minimization (2009) — 1,120 citations
- Fast alternating linearization methods for minimizing the sum of two convex functions (2009) — 282 citations
- An efficient algorithm for compressed MR imaging using total variation and wavelets (2008) — 409 citations