Junfeng Yang
Computational Mechanics · SIAM Journal on Scientific Computing · 2008–2013
A researcher in the Science corpus: 7 papers; trusts 76 researchers and is trusted by 100 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 98 citations into it; #270 of 10,001 by trust here, #539 by citations
- Computer Vision and Pattern Recognition — 63 citations into it; #3,640 of 21,575 by trust here, #5,375 by citations
- Computational Theory and Mathematics — 25 citations into it; #3,243 of 12,182 by trust here, #7,142 by citations
- Numerical Analysis — 25 citations into it; #868 of 3,586 by trust here, #1,743 by citations
- Mathematical Physics — 22 citations into it; #2,516 of 8,562 by trust here, #3,828 by citations
- Optimization & Training — 19 citations into it; #1,135 of 2,601 by trust here, #2,112 by citations
- Biomedical Engineering — 18 citations into it; #489 of 10,734 by trust here, #4,640 by citations
- Mathematical Optimization — 12 citations into it
Whom Junfeng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Stanley J. Osher
- Yurii E. Nesterov
- Mário A. T. Figueiredo
- M. Powell
- Antonin Chambolle
- Robert Tibshirani
- David L. Donoho
- Wotao Yin
- Robert D. Nowak
Who trusts Junfeng Yang overall
- Yin Zhang
- Wotao Yin
- Zaiwen Wen
- Chengbo Li
- Paul Tseng
- Donald Goldfarb
- Juan Peypouquet
- Li Xu
- Hua Ouyang
- Guoyin Li
Papers from Junfeng Yang's perspective
Ordered by how strongly the researchers Junfeng Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Atomic Decomposition by Basis Pursuit
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction (2008) — 2,037 citations
- Alternating Direction Algorithms for 1-Problems in Compressive Sensing (2009) — 1,290 citations
- Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization (2012) — 429 citations
- Sparse and low-rank matrix decomposition via alternating direction method (2013) — 411 citations
- A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data (2010) — 585 citations
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise (2009) — 375 citations
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration (2009) — 533 citations