Wenlin Gong

Acoustics and Ultrasonics · 2012–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Acoustics and Ultrasonics — 19 citations into it
• Atomic and Molecular Physics, and Optics — 10 citations into it
• Computational Mechanics — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Optimization & Training — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Wenlin Gong trusts overall

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

1. Jeffrey H. Shapiro
2. Y. Bromberg
3. E.J. Candes
4. Ori Katz
5. Mário A. T. Figueiredo

Papers from Wenlin Gong's perspective

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

1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
2. Deep Learning
3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
4. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
5. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
6. Deep Image Prior
7. Single-pixel imaging via compressive sampling (IEEE Signal Processing Magazine)
8. High-Resolution Radar via Compressed Sensing (IEEE Transactions on Signal Processing)
9. Improved bounds on Restricted isometry for compressed sensing
10. An overview of gradient descent optimization algorithms

Their papers

• Far-field super-resolution ghost imaging with a deep neural network constraint (2022) — 296 citations
• Ghost imaging lidar via sparsity constraints (2012) — 352 citations