We stand with Ukraine

We stand with Ukraine

Xin Zhong

Orcid: 0000-0001-8339-9245

Affiliations:

University of Nebraska at Omaha, Omaha, NE, USA

According to our database¹, Xin Zhong authored at least 34 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on unomaha.edu
on orcid.org

On csauthors.net:

Bibliography

2026

Invariant Features in Language Models: Geometric Characterization and Model Attribution.

[DOI]

Agnibh Dasgupta

,

Abdullah Tanvir

,

CoRR, May, 2026

Watermarking Language Models Through Language Models.

[DOI]

Agnibh Dasgupta

,

Abdullah All Tanvir

,

IEEE Trans. Artif. Intell., March, 2026

TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking.

[DOI]

Abdullah All Tanvir

,

Agnibh Dasgupta

,

CoRR, February, 2026

2024

Watermarking Language Models through Language Models.

[DOI]

,

Agnibh Dasgupta

,

Abdullah Tanvir

CoRR, 2024

DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text.

[DOI]

Travis J. E. Munyer

,

Abdullah All Tanvir

,

,

IEEE Access, 2024

ViewMix: Augmentation for Robust Representation in Self-Supervised Learning.

[DOI]

,

IEEE Access, 2024

Deep Learning-based Text-in-Image Watermarking.

[DOI]

,

,

,

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Interpretable Classification of Myositis from Muscle Ultrasound Images.

[DOI]

,

,

,

Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024

Leveraging Artificial Intelligence (AI) to Enhance Computer Science Instruction.

[DOI]

,

,

Agnibh Dasgupta

,

,

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning.

[DOI]

Agnibh Dasgupta

,

CoRR, 2023

Padding Module: Learning the Padding in Deep Neural Networks.

[DOI]

Fahad Alrasheedi

,

,

IEEE Access, 2023

2022

Deep Morphological Neural Networks.

[DOI]

,

,

,

Int. J. Pattern Recognit. Artif. Intell., 2022

Foreign Object Debris Detection for Airport Pavement Images Based on Self-Supervised Localization and Vision Transformer.

[DOI]

Travis J. E. Munyer

,

Daniel Brinkman

,

,

,

Iason Konstantzos

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Perspective Transformation Layer.

[DOI]

,

Agnibh Dasgupta

,

,

,

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks.

[DOI]

,

,

Spyridon Mastorakis

,

IEEE Trans. Multim., 2021

Automatic Image Pixel Clustering based on Mussels Wandering Optimization.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2021

Joint Learning for Pneumonia Classification and Segmentation on Medical Images.

[DOI]

,

,

Int. J. Pattern Recognit. Artif. Intell., 2021

Classification of Chest X-Ray Images Using Novel Adaptive Morphological Neural Networks.

[DOI]

,

,

Int. J. Pattern Recognit. Artif. Intell., 2021

A Deep Learning-based Audio-in-Image Watermarking Scheme.

[DOI]

,

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: : Foreign Object Debris Image Collection.

[DOI]

Travis J. E. Munyer

,

Daniel Brinkman

,

,

Proceedings of the DG.O'21: The 22nd Annual International Conference on Digital Government Research, 2021

Cyber-physical innovations: : Cyber-infrastructure for research, cyber-physical architecture for real-time applications, autonomous vehicle (AV) governance and AI artifacts for public value.

[DOI]

,

,

,

,

Johannes Himmelreich

,

Kevin C. Desouza

,

Richard Knepper

Proceedings of the DG.O'21: The 22nd Annual International Conference on Digital Government Research, 2021

DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding.

[DOI]

Spyridon Mastorakis

,

,

,

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2019

Robust Multibit Image Watermarking Based on Contrast Modulation and Affine Rectification.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2019

An Efficient Saliency Detection Model Based on Wavelet Generalized Lifting.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2019

A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2019

Development of Deep Learning Framework for Mathematical Morphology.

[DOI]

,

,

Int. J. Pattern Recognit. Artif. Intell., 2019

Automatic Image Pixel Clustering based on Mussels Wandering Optimiz.

[DOI]

,

,

CoRR, 2019

Deep Morphological Neural Networks.

[DOI]

,

,

CoRR, 2019

A Robust Image Watermarking System Based on Deep Neural Networks.

[DOI]

,

CoRR, 2019

2018

An adjustable-purpose image watermarking technique by particle swarm optimization.

[DOI]

,

,

,

Shin'ichi Satoh

Multim. Tools Appl., 2018

2017

Automated Counting and Tracking of Vehicles.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2017

Achieving Image Watermarking Robustness by Geometric Rectification.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2017

2016

High-capacity multiple regions of interest watermarking for medical images.

[DOI]

,

Inf. Sci., 2016

Intelligent Watermarking for High-Capacity Low-Distortion Data Embedding.

[DOI]

,

Int. J. Pattern Recognit. Artif. Intell., 2016

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