Feng Liang

with Feng · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Feng Liang trusts

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

  1. Justin K. Romberg (in Computational Mechanics)

Who trusts Feng Liang

  1. Jong Chul Ye (in Radiology, Nuclear Medicine and Imaging)
  2. Ge Wang (in Radiology, Nuclear Medicine and Imaging)

Papers from Feng Liang's perspective

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

  1. Learning a Deep Convolutional Network for Image Super-Resolution
  2. DeepID-Net: Deformable deep convolutional neural networks for object detection (Computer Vision and Pattern Recognition)
  3. Compressive Sensing by Random Convolution (SIAM Journal of Imaging Sciences)
  4. Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction (SIAM Journal of Imaging Sciences)
  5. SPIRiT: Iterative Self-consistent Parallel Imaging Reconstruction from Arbitrary k-Space (Magnetic Resonance in Medicine)
  6. Accelerated dynamic MRI exploiting sparsity and low-rank structure: k-t SLR (IEEE Transactions on Medical Imaging)
  7. Image Denoising and Inpainting with Deep Neural Networks
  8. Spatiotemporal Imaging with Partially Separable Functions (Joint Meeting of International Symposium on Noninvasive Functional Source Imaging of Brain and Heart and International Conference on Functional Biomedical Imaging)
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers