Zhimin Peng
Computational Mechanics · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 38 citations into it; #4,897 of 10,001 by trust here, #4,937 by citations
- Optimization & Training — 26 citations into it
- Artificial Intelligence — 19 citations into it; #15,030 of 35,345 by trust here, #15,866 by citations
- Computational Theory and Mathematics — 19 citations into it; #5,976 of 12,182 by trust here, #5,046 by citations
- Numerical Analysis — 15 citations into it; #1,667 of 3,586 by trust here, #1,166 by citations
- Mathematical Optimization — 10 citations into it
- Mathematical Physics — 8 citations into it
- Computer Networks and Communications — 7 citations into it; #3,249 of 9,886 by trust here, #3,228 by citations
Whom Zhimin Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dimitri P. Bertsekas
- Ji Liu
- Yurii E. Nesterov
- Paul Tseng
- Stephen J. Wright
- Yangyang Xu
- Wotao Yin
- Mingyi Hong
- Angelia Nedić
- Pierre-Louis Lions
Who trusts Zhimin Peng overall
- Dmitry Grishchenko
- Wotao Yin
- Tianyu Wu
- Robert Hannah
- Yang Liu
- Franck Iutzeler
- Fabian Pedregosa
- Kun Yuan
- Albert S. Berahas
- Konstantin Mishchenko
Papers from Zhimin Peng's perspective
Ordered by how strongly the researchers Zhimin Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates (2015) — 274 citations
- Parallel Multi-Block ADMM with o(1 / k) Convergence (2013) — 433 citations
- On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays (2016) — 21 citations