Xiaoyi Jiang

Professor

University of Münster

Germany

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Professor Xiaoyi Jiang is a faculty member at the University of Münster in Germany. His research encompasses deep learning applications in various domains, including ultrasonic data analysis, bone graft segmentation, and marketing resource optimization. Additional areas of expertise include EEG artifact removal, credit card fraud detection security, and bioinformatics approaches for clonal evolution reconstruction.

Articles (17)

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Örjan Smedby

KTH Royal Institute of Technology

SWEDEN

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Chunliang Wang

KTH Royal Institute of Technology

SWEDEN

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Hui Yu

Academic, Professor, Professor of Visual Computing

University of Portsmouth

UNITED KINGDOM

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Julian Varghese

University of Münster

GERMANY

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Benjamin Risse

Professor

University of Münster

GERMANY

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Xiaoyi Jiang

Research Interests

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Articles (17)

Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model

Deep learning meta architecture to detect spatially coherent coarse grain regions in ultrasonic data

Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge

EEGCiD: EEG Condensation Into Diffusion Model

Polynomial kernel learning for interpolation kernel machines with application to graph classification

Denosieformer: A Transformer-Based Approach for Single-Channel EEG Artifact Removal

Recognizing Road Surface Traffic Signs Based on Yolo Models Considering Image Flips

Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models

Reconstructing Clonal Evolution—A Systematic Evaluation of Current Bioinformatics Approaches

Code and Data Repository for Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models

A review on AI-based medical image computing in head and neck surgery

Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety

Deep-Learning-Based Detection of Segregations for Ultrasonic Testing

Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images

Kernel-Based Generalized Median Computation for Consensus Learning

Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets

Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations

Collaborators (5)

Örjan Smedby

Chunliang Wang

Hui Yu

Julian Varghese

Benjamin Risse

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