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Dongmian Zou
Dongmian Zou
Duke Kunshan University
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Graph convolutional neural networks via scattering
D Zou, G Lerman
Applied and Computational Harmonic Analysis 49 (3), 1046-1074, 2020
1102020
Robust subspace recovery layer for unsupervised anomaly detection
CH Lai, D Zou, G Lerman
International Conference on Learning Representations (ICLR 2020), 1-28, 2020
662020
On lipschitz bounds of general convolutional neural networks
D Zou, R Balan, M Singh
IEEE Transactions on Information Theory 66 (3), 1738-1759, 2019
602019
Lipschitz properties for deep convolutional networks
R Balan, M Singh, D Zou
Contemporary Mathematics 706, 129-151, 2018
452018
On Lipschitz analysis and Lipschitz synthesis for the phase retrieval problem
R Balan, D Zou
Linear Algebra and its Applications 496, 152-181, 2016
352016
Encoding robust representation for graph generation
D Zou, G Lerman
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
272019
On Lipschitz inversion of nonlinear redundant representations
R Balan, D Zou
Contemporary Mathematics 650, 15-22, 2015
18*2015
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection.
CH Lai, D Zou, G Lerman
AISTATS, 3538-3567, 2023
11*2023
Regularized variational data assimilation for bias treatment using the Wasserstein metric
SK Tamang, A Ebtehaj, D Zou, G Lerman
Quarterly Journal of the Royal Meteorological Society 146 (730), 2332-2346, 2020
112020
Ensemble Riemannian data assimilation over the Wasserstein space
SK Tamang, A Ebtehaj, PJ Van Leeuwen, D Zou, G Lerman
Nonlinear Processes in Geophysics Discussions 2021, 1-26, 2021
92021
Interpretability-aware industrial anomaly detection using autoencoders
R Jiang, Y Xue, D Zou
IEEE Access, 2023
52023
Robust vector quantized-variational autoencoder
CH Lai, D Zou, G Lerman
arXiv preprint arXiv:2202.01987, 2022
52022
Lorentzian Fully Hyperbolic Generative Adversarial Network
E Qu, D Zou
arXiv preprint arXiv:2201.12825, 2022
4*2022
Systems and methods for optimized computer vision using deep neural networks and Litpschitz analysis
R Balan, MK Singh, D Zou
US Patent 10,839,253, 2020
42020
Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
Y Jia, D Zou, H Wang, H Jin
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023
32023
Detection and localization of image and document forgery: Survey and benchmarking
A Ghosh, D Zou, M Singh, V Analytics
Detection and localization of image and document forgery: Survey and …, 2016
32016
Interpretable Graph Anomaly Detection using Gradient Attention Maps
Y Yang, P Wang, X He, D Zou
arXiv preprint arXiv:2311.06153, 2023
12023
An Unpooling Layer for Graph Generation
Y Guo, D Zou, G Lerman
International Conference on Artificial Intelligence and Statistics, 3179-3209, 2023
12023
Recognition of Yuan blue and white porcelain produced in Jingdezhen based on graph anomaly detection combining portable X-ray fluorescence spectrometry
J Li, Y Yang, D Zou, L Wu, Q Wu, Z Lin, Q Li
Heritage Science 12 (1), 79, 2024
2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
J Gu, D Zou
arXiv preprint arXiv:2403.04010, 2024
2024
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