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2020 – today
- 2024
[i9]Mengqi Wu, Minhui Yu, Shuaiming Jing, Pew-Thian Yap, Zhengwu Zhang, Mingxia Liu:
Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. CoRR abs/2408.09315 (2024)- 2023
- [j18]Leo L. Duan, Zeyu Yuwen, George Michailidis, Zhengwu Zhang:
Low Tree-Rank Bayesian Vector Autoregression Models. J. Mach. Learn. Res. 24: 286:1-286:35 (2023) - 2022
- [j17]Pritam Dey
, Zhengwu Zhang, David B. Dunson:
Outlier detection for multi-network data. Bioinform. 38(16): 4011-4018 (2022) - [j16]Zhengwu Zhang, Bayan Saparbayeva:
Amplitude Mean of Functional Data on $\mathbb {S}^2$ and its Accurate Computation. J. Math. Imaging Vis. 64(9): 1010-1028 (2022) - [j15]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: 119124 (2022) - [j14]William Consagra, Arun Venkataraman, Zhengwu Zhang:
Optimized Diffusion Imaging for Brain Structural Connectome Analysis. IEEE Trans. Medical Imaging 41(8): 2118-2129 (2022) - [j13]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: 830-843 (2022) - [c8]William Consagra, Martin Cole, Zhengwu Zhang:
Analyzing Brain Structural Connectivity as Continuous Random Functions. MICCAI (8) 2022: 276-285 - 2021
- [j12]Georgia Papadogeorgou, Zhengwu Zhang, David B. Dunson:
Soft Tensor Regression. J. Mach. Learn. Res. 22: 219:1-219:53 (2021) - [j11]Lu Wang, Feng Vankee Lin, Martin Cole, Zhengwu Zhang:
Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition. NeuroImage 225: 117493 (2021) - [j10]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: 117965 (2021) - [j9]Meimei Liu, Zhengwu Zhang, David B. Dunson:
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets. NeuroImage 245: 118750 (2021) - [i8]Zhengwu Zhang, Bayan Saparbayeva:
Amplitude Mean of Functional Data on $\mathbb{S}^2$. CoRR abs/2107.13721 (2021) - [i7]Yang Li, Gonzalo Mateos, Zhengwu Zhang:
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR abs/2112.09906 (2021) - 2020
- [j8]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: 116730 (2020) - [j7]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices. IEEE Trans. Medical Imaging 39(3): 611-620 (2020) - [c7]Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang:
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP 2020: 9065-9069
2010 – 2019
- 2019
- [j6]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering common change-point patterns in functional connectivity across subjects. Medical Image Anal. 58 (2019) - [j5]Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson:
Tensor network factorizations: Relationships between brain structural connectomes and traits. NeuroImage 197: 330-343 (2019) - [j4]Lu Wang, Zhengwu Zhang, David B. Dunson:
Symmetric Bilinear Regression for Signal Subgraph Estimation. IEEE Trans. Signal Process. 67(7): 1929-1940 (2019) - [c6]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: 1-5 - [c5]Huijing Ren, Xuelin Wang, Sheng Wang, Zhengwu Zhang:
Predict Fluid Intelligence of Adolescent Using Ensemble Learning. ABCD-NP@MICCAI 2019: 66-73 - [i6]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices. CoRR abs/1904.05449 (2019) - [i5]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects. CoRR abs/1904.12023 (2019) - [i4]Meimei Liu, Zhengwu Zhang, David B. Dunson:
Auto-encoding graph-valued data with applications to brain connectomes. CoRR abs/1911.02728 (2019) - 2018
- [j3]Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava:
Rate-Invariant Analysis of Covariance Trajectories. J. Math. Imaging Vis. 60(8): 1306-1323 (2018) - [j2]Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland, David B. Dunson, Anuj Srivastava, Hongtu Zhu:
Mapping population-based structural connectomes. NeuroImage 172: 130-145 (2018) - 2017
- [c4]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population. IPMI 2017: 361-372 - 2016
- [c3]Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data. CVPR Workshops 2016: 981-989 - [i3]Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang:
Low-Rank Representation over the Manifold of Curves. CoRR abs/1601.00732 (2016) - 2015
- [i2]Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava:
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories. CoRR abs/1503.06699 (2015) - [i1]Zhengwu Zhang, Debdeep Pati, Anuj Srivastava:
Bayesian Clustering of Shapes of Curves. CoRR abs/1504.00377 (2015) - 2013
- [j1]Zhengwu Zhang, Eric Klassen, Anuj Srivastava:
Gaussian Blurring-Invariant Comparison of Signals and Images. IEEE Trans. Image Process. 22(8): 3145-3157 (2013) - 2011
- [c2]Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa:
Blurring-invariant Riemannian metrics for comparing signals and images. ICCV 2011: 1770-1775 - 2010
- [c1]Chunjing Xu, Zhengwu Zhang, Jianzhuang Liu, Xiaoou Tang:
3D object search through semantic component. ACM Multimedia 2010: 959-962
Coauthor Index
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last updated on 2024-09-30 00:07 CEST by the dblp team
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