Lifeng Chen
Computational Mechanics · 2009–2016
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 20 citations into it; #657 of 10,001 by trust here, #1,711 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Signal Processing — 8 citations into it
- Numerical Analysis — 7 citations into it; #197 of 3,586 by trust here, #279 by citations
- Computational Theory and Mathematics — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Lifeng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- David L. Donoho
- Joel A. Tropp
- Robert Tibshirani
- Jian-Feng Cai
- B. Recht
- Maryam Fazel
- Nati Srebro
- Zhang Liu
- Ewout van den Berg
Who trusts Lifeng Chen overall
- Paul Tseng
- Bart Vandereycken
- Feiping Nie
- Zaiwen Wen
- B. Recht
- Hao Yi Ong
- Shuiwang Ji
- E.J. Candes
- Raghunandan H. Keshavan
- Junfeng Yang
Papers from Lifeng Chen's perspective
Ordered by how strongly the researchers Lifeng Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- A Singular Value Thresholding Algorithm for Matrix Completion
- Exact Matrix Completion via Convex Optimization
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
- Interior-Point Method for Nuclear Norm Approximation with Application to System Identification
- Fast maximum margin matrix factorization for collaborative prediction
- Just relax: convex programming methods for identifying sparse signals in noise
- Fast Solution of $\ell _{1}$ -Norm Minimization Problems When the Solution May Be Sparse (IEEE Transactions on Information Theory)
Their papers
- On limiting behavior of stationary measures for stochastic evolution systems with small noise intensity (2016) — 55 citations
- Fixed point and Bregman iterative methods for matrix rank minimization (2009) — 1,120 citations