Ming-Jun Lai
Computational Mechanics · 2007–2013
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 46 citations into it; #1,742 of 10,001 by trust here, #1,671 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Applied Mathematics — 18 citations into it; #5,522 of 7,620 by trust here, #5,443 by citations
- Mathematical Physics — 12 citations into it; #6,404 of 8,562 by trust here, #6,178 by citations
- Signal Processing — 12 citations into it
- Optimization & Training — 8 citations into it
- Computer Networks and Communications — 5 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Ming-Jun Lai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. Stone
- E.J. Candes
- David L. Donoho
- Simon N. Wood
- Rémi Gribonval
- Dongho Chae
- Jianhua Z. Huang
- David Ruppert
- Yingxing Li
- Per-Olof Persson
Who trusts Ming-Jun Lai overall
- Jingru Mu
- Ehsan Elhamifar
- Guannan Wang
- Li Wang
- Anis Elgabli
- Marian-Daniel Iordache
- René Vidal
- Prateek Jain
- Jihong Park
- Bingsheng He
Papers from Ming-Jun Lai's perspective
Ordered by how strongly the researchers Ming-Jun Lai trusts endorse each paper. Same corpus, a different order for every researcher.
- Decoding by linear programming
- Atomic Decomposition by Basis Pursuit
- Sparse Approximate Solutions to Linear Systems
- Regression Shrinkage and Selection via the Lasso
- Stable recovery of sparse overcomplete representations in the presence of noise
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Uncertainty principles and ideal atomic decomposition
- Enhancing Sparsity by Reweighted ℓ1 Minimization
Their papers
- Parallel Multi-Block ADMM with o(1 / k) Convergence (2013) — 433 citations
- Sparsest solutions of underdetermined linear systems via ℓq-minimization for 0 (2009) — 757 citations
- Bivariate Penalized Splines for Regression (2013) — 97 citations
- The null space property for sparse recovery from multiple measurement vectors (2011) — 77 citations
- Initial Boundary Value Problem for Two-Dimensional Viscous Boussinesq Equations (2011) — 171 citations
- Spline functions on triangulations (2007) — 557 citations