Yun Miao

Computational Mathematics · 2019

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Mathematics — 21 citations into it; #525 of 612 by trust here, #588 by citations
• Computational Mechanics — 12 citations into it
• Computational Theory and Mathematics — 12 citations into it

Whom Yun Miao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gene H. Golub
2. Nicholas John Higham
3. Misha Elena Kilmer
4. Zemin Zhang
5. Ning Hao
6. Oguz Semerci
7. Carla D. Moravitz Martin
8. Shuchin Aeron
9. Gregory Ely
10. Pan Zhou

Who trusts Yun Miao overall

1. Liqun Qi
2. Yimin Wei

Papers from Yun Miao's perspective

Ordered by how strongly the researchers Yun Miao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Et al
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD (2014 IEEE Conference on Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. An Order-p Tensor Factorization with Applications in Imaging (SIAM Journal on Scientific Computing)
7. Long Short-Term Memory
8. Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging (SIAM Journal on Matrix Analysis and Applications)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• T-Jordan Canonical Form and T-Drazin Inverse Based on the T-Product (2019) — 106 citations
• Generalized tensor function via the tensor singular value decomposition based on the T-product (2019) — 145 citations