Zhengwu Zhang

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 28

Top Topics

Ensemble Learning

Brain Connectivity

Functional Connectivity

Top Venues

J. Math. Imaging Vis.

IEEE Trans. Medical Imaging

Publications

William Consagra, Martin Cole, Zhengwu Zhang
Analyzing Brain Structural Connectivity as Continuous Random Functions. MICCAI (8) (2022)
William Consagra, Arun Venkataraman, Zhengwu Zhang
Optimized Diffusion Imaging for Brain Structural Connectome Analysis. IEEE Trans. Medical Imaging 41 (8) (2022)
Yang Li, Gonzalo Mateos, Zhengwu Zhang
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Pritam Dey, Zhengwu Zhang, David B. Dunson
Outlier detection for multi-network data. Bioinform. 38 (16) (2022)
Zhengwu Zhang, Bayan Saparbayeva
Amplitude Mean of Functional Data on $\mathbb {S}^2$ and its Accurate Computation. J. Math. Imaging Vis. 64 (9) (2022)
Quanjing Chen, Adam Turnbull, Martin Cole, Zhengwu Zhang, Feng V. Lin
Enhancing cortical network-level participation coefficient as a potential mechanism for transfer in cognitive training in aMCI. NeuroImage 254 (2022)
Lu Wang, Feng Vankee Lin, Martin Cole, Zhengwu Zhang
Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition. NeuroImage 225 (2021)
Georgia Papadogeorgou, Zhengwu Zhang, David B. Dunson
Soft Tensor Regression. J. Mach. Learn. Res. 22 (2021)
Benjamin B. Risk, Raphiel J. Murden, Junjie Wu, Mary Beth Nebel, Arun Venkataraman, Zhengwu Zhang, Deqiang Qiu
Which multiband factor should you choose for your resting-state fMRI study? NeuroImage 234 (2021)
Yang Li, Gonzalo Mateos, Zhengwu Zhang
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR (2021)
Zhengwu Zhang, Bayan Saparbayeva
Amplitude Mean of Functional Data on $\mathbb{S}^2$. CoRR (2021)
Meimei Liu, Zhengwu Zhang, David B. Dunson
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets. NeuroImage 245 (2021)
Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP (2020)
Feng V. Lin, Ye Tao, Quanjing Chen, Mia Anthony, Zhengwu Zhang, Duje Tadin, Kathi L. Heffner
Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study. NeuroImage 213 (2020)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. IEEE Trans. Medical Imaging 39 (3) (2020)
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson
Tensor network factorizations: Relationships between brain structural connectomes and traits. NeuroImage 197 (2019)
Meimei Liu, Zhengwu Zhang, David B. Dunson
Auto-encoding graph-valued data with applications to brain connectomes. CoRR (2019)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Discovering common change-point patterns in functional connectivity across subjects. Medical Image Anal. 58 (2019)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices. CoRR (2019)
Lu Wang, Zhengwu Zhang, David B. Dunson
Symmetric Bilinear Regression for Signal Subgraph Estimation. IEEE Trans. Signal Process. 67 (7) (2019)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects. CoRR (2019)
Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang
Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. GlobalSIP (2019)
Huijing Ren, Xuelin Wang, Sheng Wang, Zhengwu Zhang
Predict Fluid Intelligence of Adolescent Using Ensemble Learning. ABCD-NP@MICCAI (2019)
Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava
Rate-Invariant Analysis of Covariance Trajectories. J. Math. Imaging Vis. 60 (8) (2018)
Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu
Mapping population-based structural connectomes. NeuroImage 172 (2018)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population. IPMI (2017)
Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang
Low-Rank Representation over the Manifold of Curves. CoRR (2016)
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data. CVPR Workshops (2016)
Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. CoRR (2015)
Zhengwu Zhang, Debdeep Pati, Anuj Srivastava
Bayesian Clustering of Shapes of Curves. CoRR (2015)
Zhengwu Zhang, Eric Klassen, Anuj Srivastava
Gaussian Blurring-Invariant Comparison of Signals and Images. IEEE Trans. Image Process. 22 (8) (2013)
Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa
Blurring-invariant Riemannian metrics for comparing signals and images. ICCV (2011)
Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang
3D object search through semantic component. ACM Multimedia (2010)