Chengbo Li

Computational Mechanics · with Jiang · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 41 citations into it; #5,466 of 10,001 by trust here, #7,173 by citations
• Computer Vision and Pattern Recognition — 26 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Biomedical Engineering — 9 citations into it
• Numerical Methods & Scientific Computing — 8 citations into it
• Mathematical Physics — 6 citations into it; #5,085 of 8,562 by trust here, #5,088 by citations
• Applied Mathematics — 5 citations into it
• Mathematical Optimization — 5 citations into it

Whom Chengbo Li 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. Terence Tao
6. Gitta Kutyniok
7. David L. Donoho
8. Hongchao Zhang
9. Junfeng Yang
10. Stéphane Mallat

Who trusts Chengbo Li overall

1. Zahra Kadkhodaie
2. Jian Zhang
3. Chen Feng
4. Eero P. Simoncelli
5. Wain Sy Anthea Au
6. Jiajia Guo
7. Zhonghao Zhang
8. Kuldeep Kulkarni
9. Hantao Yao
10. Bernard Ghanem

Papers from Chengbo Li's perspective

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

1. Atomic Decomposition by Basis Pursuit
2. Regression Shrinkage and Selection via the Lasso
3. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
7. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Decoding by linear programming

Their papers

• An efficient augmented Lagrangian method with applications to total variation minimization (2013) — 646 citations
• An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing (2010) — 383 citations