activity
20132022
most citedTensor-based formulation and nuclear norm regularization for multi-energy computed tomography

410 citations · 476 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2022★ 1 cited

Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks

Yunpeng Zhao, Ning Hao, Ji Zhu

Bipartite graphs are ubiquitous across various scientific and engineering fields. Simultaneously grouping the two types of nodes in a bipartite graph via biclustering represents a…

cs.DC2016★ 1 cited

Testing fine-grained parallelism for the ADMM on a factor-graph

Ning Hao, AmirReza Oghbaee, Mohammad Rostami +2

There is an ongoing effort to develop tools that apply distributed computational resources to tackle large problems or reduce the time to solve them. In this context, the Alternati…

cs.CV2014★ 52 cited

Novel methods for multilinear data completion and de-noising based on tensor-SVD

Zemin Zhang, Gregory Ely, Shuchin Aeron +2

In this paper we propose novel methods for completion (from limited samples) and de-noising of multilinear (tensor) data and as an application consider 3-D and 4- D (color) video d…

cs.CV2013★ 410 cited

Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography

Oguz Semerci, Ning Hao, Misha E. Kilmer +1

The development of energy selective, photon counting X-ray detectors allows for a wide range of new possibilities in the area of computed tomographic image formation. Under the ass…

cs.IT2013★ 12 cited

Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data

Zemin Zhang, Gregory Ely, Shuchin Aeron +2

In this paper we propose novel methods for compression and recovery of multilinear data under limited sampling. We exploit the recently proposed tensor- Singular Value Decompositio…