Kaizheng Wang
Computational Mechanics · 2017
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 33 citations into it; #8,877 of 10,001 by trust here, #6,287 by citations
- Statistics and Probability — 26 citations into it
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Optimization & Training — 16 citations into it; #1,329 of 2,601 by trust here, #1,804 by citations
- Statistical Learning Theory — 14 citations into it; #992 of 1,038 by trust here, #836 by citations
- Applied Mathematics — 11 citations into it
- Radiation — 10 citations into it; #293 of 407 by trust here, #250 by citations
Whom Kaizheng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- B. Recht
- Yuxin Chen
- Noureddine El Karoui
- Joel A. Tropp
- M. Soltanolkotabi
- David L. Donoho
- Ruoyu Sun
- Yudong Chen
- Sébastien Bubeck
Who trusts Kaizheng Wang overall
Papers from Kaizheng Wang's perspective
Ordered by how strongly the researchers Kaizheng Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Exact Matrix Completion via Convex Optimization
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Regression Shrinkage and Selection via the Lasso
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)