Zhengwu Zhang

According to our database, Zhengwu Zhang authored at least 30 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning to Model the Relationship Between Brain Structural and Functional Connectomes.

Yang Li, Gonzalo Mateos, Zhengwu Zhang

IEEE Trans. Signal Inf. Process. over Networks, 2022

Optimized Diffusion Imaging for Brain Structural Connectome Analysis.

William Consagra, Arun Venkataraman, Zhengwu Zhang

IEEE Trans. Medical Imaging, 2022

Enhancing cortical network-level participation coefficient as a potential mechanism for transfer in cognitive training in aMCI.

Quanjing Chen, Adam Turnbull, Martin Cole, Zhengwu Zhang, Feng V. Lin

NeuroImage, 2022

Amplitude Mean of Functional Data on $\mathbb {S}^2$ and its Accurate Computation.

Zhengwu Zhang, Bayan Saparbayeva

J. Math. Imaging Vis., 2022

Outlier detection for multi-network data.

Pritam Dey, Zhengwu Zhang, David B. Dunson

Bioinform., 2022

Analyzing Brain Structural Connectivity as Continuous Random Functions.

William Consagra, Martin Cole, Zhengwu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition.

Lu Wang, Feng Vankee Lin, Martin Cole, Zhengwu Zhang

NeuroImage, 2021

Which multiband factor should you choose for your resting-state fMRI study?

Benjamin B. Risk, Raphiel J. Murden, Junjie Wu, Mary Beth Nebel, Arun Venkataraman, Zhengwu Zhang, Deqiang Qiu

NeuroImage, 2021

Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets.

Meimei Liu, Zhengwu Zhang, David B. Dunson

NeuroImage, 2021

Soft Tensor Regression.

Georgia Papadogeorgou, Zhengwu Zhang, David B. Dunson

J. Mach. Learn. Res., 2021

Amplitude Mean of Functional Data on $\mathbb{S}^2$.

Zhengwu Zhang, Bayan Saparbayeva

CoRR, 2021

2020

Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices.

Mengyu Dai, Zhengwu Zhang, Anuj Srivastava

IEEE Trans. Medical Imaging, 2020

Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study.

Feng V. Lin, Ye Tao, Quanjing Chen, Mia Anthony, Zhengwu Zhang, Duje Tadin, Kathi L. Heffner

NeuroImage, 2020

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity.

Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Symmetric Bilinear Regression for Signal Subgraph Estimation.

Lu Wang, Zhengwu Zhang, David B. Dunson

IEEE Trans. Signal Process., 2019

Tensor network factorizations: Relationships between brain structural connectomes and traits.

Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson

NeuroImage, 2019

Discovering common change-point patterns in functional connectivity across subjects.

Mengyu Dai, Zhengwu Zhang, Anuj Srivastava

Medical Image Anal., 2019

Auto-encoding graph-valued data with applications to brain connectomes.

Meimei Liu, Zhengwu Zhang, David B. Dunson

CoRR, 2019

Predict Fluid Intelligence of Adolescent Using Ensemble Learning.

Huijing Ren, Xuelin Wang, Sheng Wang, Zhengwu Zhang

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings.

Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Mapping population-based structural connectomes.

Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu

NeuroImage, 2018

Rate-Invariant Analysis of Covariance Trajectories.

Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava

J. Math. Imaging Vis., 2018

2017

Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population.

Mengyu Dai, Zhengwu Zhang, Anuj Srivastava

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Low-Rank Representation over the Manifold of Curves.

Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang

CoRR, 2016

Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data.

Mengyu Dai, Zhengwu Zhang, Anuj Srivastava

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories.

Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava

CoRR, 2015

Bayesian Clustering of Shapes of Curves.

Zhengwu Zhang, Debdeep Pati, Anuj Srivastava

CoRR, 2015

2013

Gaussian Blurring-Invariant Comparison of Signals and Images.

Zhengwu Zhang, Eric Klassen, Anuj Srivastava

IEEE Trans. Image Process., 2013

2011

Blurring-invariant Riemannian metrics for comparing signals and images.

Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

3D object search through semantic component.

Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 18th International Conference on Multimedia 2010, 2010