Hao Wang

Computational Mechanics · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 9 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

Whom Hao Wang trusts overall

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

1. Martin Jaggi
2. Laurent Condat
3. Rick Chartrand
4. Thomas Blumensath
5. Prateek Jain
6. Yurii E. Nesterov
7. Thomas Kerdreux
8. Fabian Pedregosa
9. Michel Journée
10. Zongben Xu

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Minimization Over the Nonconvex Sparsity Constraint Using A Hybrid First-order method (2021)