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We stand with Ukraine

Xueyao Wang

Orcid: 0009-0008-0077-933X

According to our database¹, Xueyao Wang authored at least 23 papers between 2010 and 2026.

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

2026

GDB-TR: Graph-Based Double-Layer Bidirectional Model for Query-Based Trip Recommendation.

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IEEE Trans. Comput. Soc. Syst., June, 2026

General Adaptive Hypergraph Model for Coclustering.

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IEEE Trans. Comput. Soc. Syst., February, 2026

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care.

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CoRR, November, 2025

2024

Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography.

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Eng. Appl. Artif. Intell., 2024

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting.

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CoRR, 2024

MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction.

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CoRR, 2024

Bayesian Random Semantic Data Augmentation for Medical Image Classification.

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CoRR, 2024

A GCN-Based Trip Recommendation Method Incorporating Reverse Effect.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

MD-Dose: A diffusion model based on the Mamba for radiation dose prediction.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography.

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Expert Syst. Appl., October, 2023

SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector.

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CoRR, 2023

2022

Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography.

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J. Comput. Sci., 2022

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography.

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Eng. Appl. Artif. Intell., 2022

Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography.

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Digit. Signal Process., 2022

Intellectual Property Evaluation Utilizing Machine Learning.

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CoRR, 2022

2021

Distributed electrical capacitance tomography reconstruction with data and sparsity priors.

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Signal Process., 2021

2020

Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography.

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Cogn. Comput., 2020

2019

Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography.

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Neural Comput. Appl., 2019

2018

Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography.

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IEEE Trans. Instrum. Meas., 2018

Data-driven reconstruction method for electrical capacitance tomography.

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Neurocomputing, 2018

2013

An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis.

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Sensors, 2013

2010

A novel serial crime prediction model based on Bayesian learning theory.

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Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

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