Xuhong Zhang

Orcid: 0000-0001-7563-9915

Affiliations:
  • Indiana University Bloomington, School of Informatics, IN, USA
  • University of California, Irvine, USA (PhD 2017)


According to our database1, Xuhong Zhang authored at least 15 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise.
CoRR, April, 2025

Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL).
npj Digit. Medicine, 2025

Multi-Resolution Guided 3D GANs for Medical Image Translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
xSiGra: explainable model for single-cell spatial data elucidation.
Briefings Bioinform., 2024

3D Volumetric Super-Resolution in Radiology using 3D RRDB-GAN.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Multidimensional scholarly citations: Characterizing and understanding scholars' citation behaviors.
J. Assoc. Inf. Sci. Technol., January, 2023

Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Super-Resolution MRH Reconstruction for Mouse Models.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2021
DeepRecipes: Exploring Massive Online Recipes and Recovering Food Ingredient Amounts.
IEEE Access, 2021

2017
Spectral Analysis: a New Perspective for Mining Human Activity Data.
PhD thesis, 2017

Activity correlation spectroscopy: a novel method for inferring social relationships from activity data.
Soc. Netw. Anal. Min., 2017

An integrated platform for collecting mobile phone data and learning demographic features.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

2016
A novel multivariate spectral regression model for learning relationships between communication activity and urban ecology.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016


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