Yangyang Xu
Computational Mechanics · Frontiers of Mathematics in China · 2011–2016
A researcher in the Science corpus: 6 papers; trusts 93 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 89 citations into it; #1,169 of 10,001 by trust here, #1,838 by citations
- Computational Theory and Mathematics — 40 citations into it; #8,099 of 12,182 by trust here, #9,306 by citations
- Optimization & Training — 40 citations into it
- Numerical Analysis — 39 citations into it; #420 of 3,586 by trust here, #508 by citations
- Artificial Intelligence — 35 citations into it; #15,031 of 35,345 by trust here, #15,866 by citations
- Signal Processing — 27 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it; #16,150 of 21,575 by trust here, #14,478 by citations
- Computational Mathematics — 22 citations into it; #109 of 612 by trust here, #153 by citations
Whom Yangyang Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Paul Tseng
- Patrik O. Hoyer
- Dimitri P. Bertsekas
- Daniel D. Lee
- Wotao Yin
- Jérôme Bolte
- B. Recht
- E.J. Candes
- Hédy Attouch
Who trusts Yangyang Xu overall
- Wotao Yin
- Zhimin Peng
- Yu Wang
- Guoyin Li
- Yong Zeng
- Huayan Guo
- Jianpeng Xu
- Nikhil S. Rao
- Bryan Hooi
- Mingyi Hong
Papers from Yangyang Xu's perspective
Ordered by how strongly the researchers Yangyang Xu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- 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
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates (2015) — 274 citations
- A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update (2014) — 328 citations
- On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays (2016) — 21 citations
- Parallel matrix factorization for low-rank tensor completion (2013) — 388 citations
- A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion (2013) — 1,259 citations
- An alternating direction algorithm for matrix completion with nonnegative factors (2011) — 376 citations