Xueyao Wang

23 papers A* 1B 1Misc 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning.
AAAI
Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao
2026 J jnl
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning.
CoRR
Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao
2026 J jnl
General Adaptive Hypergraph Model for Coclustering.
IEEE Trans. Comput. Soc. Syst.
Xueyao Wang, Hongjun Wang, Tianrui Li
2025 J jnl
VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care.
CoRR
Xiuding Cai, Xueyao Wang, Sen Wang, Yaoyao Zhu, Jiao Chen, Yu Yao
2024 B conf
A GCN-Based Trip Recommendation Method Incorporating Reverse Effect.
SMC
Wenjing Luan, Xueyao Wang, Liang Qi, Kun Liu, Xiwang Guo
2024 J jnl
Bayesian Random Semantic Data Augmentation for Medical Image Classification.
CoRR
Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Yu Yao
2024 J jnl
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography.
Eng. Appl. Artif. Intell.
Jing Lei, Qibin Liu, Xueyao Wang
2024 J jnl
MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction.
CoRR
Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yali Shen, Yu Yao
2024 — conf
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction.
BIBM
Linjie Fu, Xia Li, Xiuding Cai, Xueyao Wang, Yali Shen, Yu Yao
2024 J jnl
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting.
CoRR
Xiuding Cai, Yaoyao Zhu, Xueyao Wang, Yu Yao
2023 J jnl
SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector.
CoRR
Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yu Yao, Yali Shen
2023 J jnl
Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography.
Expert Syst. Appl.
Jing Lei, Xueyao Wang
2022 J jnl
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography.
J. Comput. Sci.
Jing Lei, Qibin Liu, Xueyao Wang
2022 J jnl
Intellectual Property Evaluation Utilizing Machine Learning.
CoRR
Jinxin Ding, Yuxin Huang, Keyang Ni, Xueyao Wang, Yinxiao Wang, Yucheng Wang
2022 J jnl
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography.
Digit. Signal Process.
Jing Lei, Qibin Liu, Xueyao Wang
2022 J jnl
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography.
Eng. Appl. Artif. Intell.
Jing Lei, Qibin Liu, Xueyao Wang
2021 J jnl
Distributed electrical capacitance tomography reconstruction with data and sparsity priors.
Signal Process.
Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan
2020 J jnl
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography.
Cogn. Comput.
Jing Lei, Qibin Liu, Xueyao Wang
2019 J jnl
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography.
Neural Comput. Appl.
Jing Lei, Qibin Liu, Xueyao Wang
2018 J jnl
Data-driven reconstruction method for electrical capacitance tomography.
Neurocomputing
Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu
2018 J jnl
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography.
IEEE Trans. Instrum. Meas.
Jing Lei, Qibin Liu, Xueyao Wang
2013 J jnl
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis.
Sensors
Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu
2010 Misc conf
A novel serial crime prediction model based on Bayesian learning theory.
ICMLC
Renjie Liao, Xueyao Wang, Lun Li, Zengchang Qin