Zhaosong Lu
Computational Mechanics · 2007–2013
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 35 citations into it; #1,781 of 10,001 by trust here, #2,252 by citations
- Numerical Analysis — 24 citations into it
- Artificial Intelligence — 22 citations into it; #8,292 of 35,345 by trust here, #16,166 by citations
- Optimization & Training — 21 citations into it
- Computational Theory and Mathematics — 16 citations into it; #2,221 of 12,182 by trust here, #4,531 by citations
- Statistics and Probability — 12 citations into it; #5,363 of 12,932 by trust here, #4,253 by citations
- Mathematical Optimization — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Zhaosong Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Tseng
- Yurii E. Nesterov
- Peter Richtárik
- Shai Shalev-Shwartz
- S. Burer
- Arkadi Nemirovski
- Martin Takác
- Tong Zhang
- Amir Beck
- Zhi-Quan Tom Luo
Who trusts Zhaosong Lu overall
- Peter Richtárik
- Martin Takác
- Guanghui Lan
- Ji Liu
- Yangyang Xu
- Zheng Qu
- Ion Necoara
- Chenxin Ma
- Stephen J. Wright
- Wotao Yin
Papers from Zhaosong Lu's perspective
Ordered by how strongly the researchers Zhaosong Lu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems (2013) — 431 citations
- Dimension reduction and coefficient estimation in multivariate linear regression (2007) — 350 citations
- On the complexity analysis of randomized block-coordinate descent methods (2013) — 262 citations
- Primal-dual first-order methods with $${\mathcal {O}(1/\epsilon)}$$ iteration-complexity for cone programming (2011) — 83 citations
- Primal-dual first-order methods with O (1/e) iteration-complexity for cone programming. (2011) — 178 citations