Lingling Wang

Computational Mechanics · with Fehler · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 9 citations into it
• Optimization & Training — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Lingling Wang trusts overall

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

1. Robert Tibshirani
2. Francis R. Bach
3. Paul Tseng
4. Michael Elad
5. Holger Hoefling
6. D. Velis
7. Michal Aharon
8. Aapo Hyvärinen
9. Daniel D. Lee
10. Patrick L. Combettes

Papers from Lingling Wang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Regression Shrinkage and Selection via the Lasso
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization (2016) — 65 citations