3D object search through semantic component. - Chunjing Xu; Zhengwu Zhang; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2010)

Blurring-invariant Riemannian metrics for comparing signals and images. - Zhengwu Zhang; Eric Klassen; Anuj Srivastava; Pavan K. Turaga; Rama Chellappa (ICCV, 2011)

Gaussian Blurring-Invariant Comparison of Signals and Images. - Zhengwu Zhang; Eric Klassen; Anuj Srivastava (IEEE Trans. Image Process., 2013)

Bayesian Clustering of Shapes of Curves. - Zhengwu Zhang; Debdeep Pati; Anuj Srivastava (CoRR, 2015)

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. - Zhengwu Zhang; Jingyong Su; Eric Klassen; Huiling Le; Anuj Srivastava (CoRR, 2015)

Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (CVPR Workshops, 2016)

Low-Rank Representation over the Manifold of Curves. - Stephen Tierney; Junbin Gao; Yi Guo 001; Zhengwu Zhang (CoRR, 2016)

Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (IPMI, 2017)

Rate-Invariant Analysis of Covariance Trajectories. - Zhengwu Zhang; Jingyong Su; Eric Klassen; Huiling Le; Anuj Srivastava (J. Math. Imaging Vis., 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)

Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (GlobalSIP, 2019)

Predict Fluid Intelligence of Adolescent Using Ensemble Learning. - Huijing Ren; Xuelin Wang; Sheng Wang; Zhengwu Zhang (ABCD-NP@MICCAI, 2019)

Auto-encoding graph-valued data with applications to brain connectomes. - Meimei Liu; Zhengwu Zhang; David B. Dunson (CoRR, 2019)

Discovering common change-point patterns in functional connectivity across subjects. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (Medical Image Anal., 2019)

Tensor network factorizations: Relationships between brain structural connectomes and traits. - Zhengwu Zhang; Genevera I. Allen; Hongtu Zhu; David B. Dunson (NeuroImage, 2019)

Symmetric Bilinear Regression for Signal Subgraph Estimation. - Lu Wang 015; Zhengwu Zhang; David B. Dunson (IEEE Trans. Signal Process., 2019)

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. - Yang Li 149; Rasoul Shafipour; Gonzalo Mateos; Zhengwu Zhang (ICASSP, 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)

Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. - Mengyu Dai; Zhengwu Zhang; Anuj Srivastava (IEEE Trans. Medical Imaging, 2020)

Amplitude Mean of Functional Data on $ mathbb{S}^2$. - Zhengwu Zhang; Bayan Saparbayeva (CoRR, 2021)

Soft Tensor Regression. - Georgia Papadogeorgou; Zhengwu Zhang; David B. Dunson (J. Mach. Learn. Res., 2021)

Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets. - Meimei Liu; Zhengwu Zhang; David B. Dunson (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)

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition. - Lu Wang 015; Feng Vankee Lin; Martin Cole; Zhengwu Zhang (NeuroImage, 2021)

Analyzing Brain Structural Connectivity as Continuous Random Functions. - William Consagra; Martin Cole; Zhengwu Zhang (MICCAI (8), 2022)

Outlier detection for multi-network data. - Pritam Dey; Zhengwu Zhang; David B. Dunson (Bioinform., 2022)

Amplitude Mean of Functional Data on $ mathbb {S}^2$ and its Accurate Computation. - Zhengwu Zhang; Bayan Saparbayeva (J. Math. Imaging Vis., 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)

Optimized Diffusion Imaging for Brain Structural Connectome Analysis. - William Consagra; Arun Venkataraman; Zhengwu Zhang (IEEE Trans. Medical Imaging, 2022)

Learning to Model the Relationship Between Brain Structural and Functional Connectomes. - Yang Li 149; Gonzalo Mateos; Zhengwu Zhang (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Low Tree-Rank Bayesian Vector Autoregression Models. - Leo L. Duan; Zeyu Yuwen; George Michailidis; Zhengwu Zhang (J. Mach. Learn. Res., 2023)

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. - Mengqi Wu; Minhui Yu; Shuaiming Jing; Pew-Thian Yap; Zhengwu Zhang; Mingxia Liu 001 (CoRR, 2024)

NeuroPMD: Neural Fields for Density Estimation on Product Manifolds. - William Consagra; Zhiling Gu; Zhengwu Zhang (CoRR, 2025)