Chen Feng
Computational Mechanics · with Au · 2012
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 8 citations into it; #6,824 of 10,001 by trust here, #7,501 by citations
- Electrical and Electronic Engineering — 7 citations into it; #9,135 of 16,539 by trust here, #13,553 by citations
- Computer Networks and Communications — 6 citations into it; #6,461 of 9,886 by trust here, #7,492 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Applied Mathematics — 5 citations into it
- Ocean Engineering — 5 citations into it
Whom Chen Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Justin K. Romberg
- Limin Wang
- Chengbo Li
- Moustafa Youssef
- Paramvir Victor Bahl
- John Shawe-Taylor
- Brendan J. Frey
- Kamol Kaemarungsi
- Erhan Gokcay
Who trusts Chen Feng overall
- Pavel Davidson
- Suining He
- Ali Khalajmehrabadi
- Jun Won Choi
- Wei Zhang
- Robert Piché
- S. Chan
- Nikolaos Gatsis
- Byonghyo Shim
Papers from Chen Feng's perspective
Ordered by how strongly the researchers Chen Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- Atomic Decomposition by Basis Pursuit
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Stable signal recovery from incomplete and inaccurate measurements
- RADAR: an in-building RF-based user location and tracking system (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
- Sparse MRI: The application of compressed sensing for rapid MR imaging
- Enhancing Sparsity by Reweighted ℓ1 Minimization
- Regression Shrinkage and Selection via the Lasso
- Sparsity and incoherence in compressive sampling
- An Introduction To Compressive Sampling
- Decoding by linear programming
Their papers
- Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing (2012) — 569 citations