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Dongmian Zou

Orcid: 0000-0002-5618-5791

According to our database1, Dongmian Zou authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
GRAND: A Graph Neural Network Framework for Improved Diagnosis.
[BibTeX]
[DOI]
Hongfei Wang
,
Ziqiang Zhang
,
Hongcan Xiong
,
Dongmian Zou
,
Yu Chen
,
Hai Jin
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks.
[BibTeX]
[DOI]
Jing Gu
,
Dongmian Zou
CoRR, 2024

2023
Interpretable Graph Anomaly Detection using Gradient Attention Maps.
[BibTeX]
[DOI]
Yifei Yang
,
Peng Wang
,
Xiaofan He
,
Dongmian Zou
CoRR, 2023

Monotone Generative Modeling via a Gromov-Monge Embedding.
[BibTeX]
[DOI]
Wonjun Lee
,
Yifei Yang
,
Dongmian Zou
,
Gilad Lerman
CoRR, 2023

Hyperbolic Convolution via Kernel Point Aggregation.
[BibTeX]
[DOI]
Eric Qu
,
Dongmian Zou
CoRR, 2023

Interpretability-Aware Industrial Anomaly Detection Using Autoencoders.
[BibTeX]
[DOI]
Rui Jiang
,
Yijia Xue
,
Dongmian Zou
IEEE Access, 2023

Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks.
[BibTeX]
[DOI]
Yaning Jia
,
Dongmian Zou
,
Hongfei Wang
,
Hai Jin
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection.
[BibTeX]
[DOI]
Chieh-Hsin Lai
,
Dongmian Zou
,
Gilad Lerman
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

An Unpooling Layer for Graph Generation.
[BibTeX]
[DOI]
Yinglong Guo
,
Dongmian Zou
,
Gilad Lerman
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Graph Neural Network Based Node Deployment for Throughput Enhancement.
[BibTeX]
[DOI]
Yifei Yang
,
Dongmian Zou
,
Xiaofan He
CoRR, 2022

Hyperbolic Neural Networks for Molecular Generation.
[BibTeX]
[DOI]
Eric Qu
,
Dongmian Zou
CoRR, 2022

2020
On Lipschitz Bounds of General Convolutional Neural Networks.
[BibTeX]
[DOI]
Dongmian Zou
,
Radu V. Balan
,
Maneesh Singh
IEEE Trans. Inf. Theory, 2020

Novelty Detection via Robust Variational Autoencoding.
[BibTeX]
[DOI]
Chieh-Hsin Lai
,
Dongmian Zou
,
Gilad Lerman
CoRR, 2020

Robust Subspace Recovery Layer for Unsupervised Anomaly Detection.
[BibTeX]
[DOI]
Chieh-Hsin Lai
,
Dongmian Zou
,
Gilad Lerman
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Encoding robust representation for graph generation.
[BibTeX]
[DOI]
Dongmian Zou
,
Gilad Lerman
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Graph Generation via Scattering.
[BibTeX]
[DOI]
Dongmian Zou
,
Gilad Lerman
CoRR, 2018

Graph Convolutional Neural Networks via Scattering.
[BibTeX]
[DOI]
Dongmian Zou
,
Gilad Lerman
CoRR, 2018

2017
Nonlinear Analysis of Phase Retrieval and Deep Learning.
[BibTeX]
[DOI]
Dongmian Zou
PhD thesis, 2017

Lipschitz Properties for Deep Convolutional Networks.
[BibTeX]
[DOI]
Radu V. Balan
,
Maneesh Singh
,
Dongmian Zou
CoRR, 2017

2014
Phase Retrieval using Lipschitz Continuous Maps.
[BibTeX]
[DOI]
Radu V. Balan
,
Dongmian Zou
CoRR, 2014


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