Hong Jiang

Computational Mechanics · with Li · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 14 citations into it; #5,467 of 10,001 by trust here, #7,173 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Numerical Methods & Scientific Computing — 5 citations into it

Whom Hong Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. E.J. Candes
2. Yurii E. Nesterov
3. Antonin Chambolle
4. M. Powell
5. Junfeng Yang
6. Stanley J. Osher
7. Tom Goldstein
8. Pierre-Louis Lions
9. Hongchao Zhang
10. Terence Tao

Who trusts Hong Jiang overall

1. Zahra Kadkhodaie
2. Jian Zhang
3. Eero P. Simoncelli

Papers from Hong Jiang's perspective

Ordered by how strongly the researchers Hong Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
2. Compressed Sensing
3. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
4. An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
5. The Split Bregman Method for L1-Regularized Problems
6. Two-Point Step Size Gradient Methods
7. Smooth minimization of non-smooth functions
8. NESTA: A Fast and Accurate First-Order Method for Sparse Recovery (SIAM Journal of Imaging Sciences)
9. Fast approximate energy minimization via graph cuts
10. Splitting Algorithms for the Sum of Two Nonlinear Operators

Their papers

• An efficient augmented Lagrangian method with applications to total variation minimization (2013) — 646 citations