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2020 – today
- 2024
[j11]Jing Lei
, Qibin Liu, Xueyao Wang:
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. Eng. Appl. Artif. Intell. 133: 108617 (2024)- [i5]Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Yu Yao:
Bayesian Random Semantic Data Augmentation for Medical Image Classification. CoRR abs/2403.06138 (2024) - [i4]Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yali Shen, Yu Yao:
MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction. CoRR abs/2403.08479 (2024) - [i3]Xiuding Cai, Yaoyao Zhu, Xueyao Wang, Yu Yao:
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting. CoRR abs/2405.16440 (2024) - 2023
- [j10]Jing Lei, Xueyao Wang:
Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography. Expert Syst. Appl. 227: 120277 (2023) - [i2]Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yu Yao, Yali Shen:
SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector. CoRR abs/2312.06187 (2023) - 2022
- [j9]Jing Lei, Qibin Liu, Xueyao Wang:
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. Digit. Signal Process. 128: 103605 (2022) - [j8]Jing Lei, Qibin Liu, Xueyao Wang:
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography. Eng. Appl. Artif. Intell. 116: 105467 (2022) - [j7]Jing Lei, Qibin Liu, Xueyao Wang:
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. J. Comput. Sci. 57: 101507 (2022) - [i1]Jinxin Ding, Yuxin Huang, Keyang Ni, Xueyao Wang, Yinxiao Wang, Yucheng Wang:
Intellectual Property Evaluation Utilizing Machine Learning. CoRR abs/2208.08611 (2022) - 2021
- [j6]Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan:
Distributed electrical capacitance tomography reconstruction with data and sparsity priors. Signal Process. 181: 107922 (2021) - 2020
- [j5]Jing Lei, Qibin Liu, Xueyao Wang:
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. Cogn. Comput. 12(1): 206-223 (2020)
2010 – 2019
- 2019
- [j4]Jing Lei, Qibin Liu, Xueyao Wang:
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. Neural Comput. Appl. 31(9): 5079-5096 (2019) - 2018
- [j3]Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu:
Data-driven reconstruction method for electrical capacitance tomography. Neurocomputing 273: 333-345 (2018) - [j2]Jing Lei, Qibin Liu, Xueyao Wang:
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 67(9): 2107-2118 (2018) - 2013
- [j1]Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu:
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis. Sensors 13(2): 2076-2092 (2013) - 2010
- [c1]Renjie Liao, Xueyao Wang, Lun Li, Zengchang Qin:
A novel serial crime prediction model based on Bayesian learning theory. ICMLC 2010: 1757-1762
Coauthor Index
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