A novel serial crime prediction model based on Bayesian learning theory. - Renjie Liao; Xueyao Wang; Lun Li; Zengchang Qin (ICMLC, 2010)

An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis. - Jing Lei 002; Shi Liu; Xueyao Wang; Qibin Liu (Sensors, 2013)

Data-driven reconstruction method for electrical capacitance tomography. - Jing Lei 002; Huaiping Mu; Qibin Liu; Xueyao Wang; Shi Liu (Neurocomputing, 2018)

Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (IEEE Trans. Instrum. Meas., 2018)

Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Neural Comput. Appl., 2019)

Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Cogn. Comput., 2020)

Distributed electrical capacitance tomography reconstruction with data and sparsity priors. - Jing Lei 002; Qibin Liu; Xueyao Wang; R. S. Yan (Signal Process., 2021)

Intellectual Property Evaluation Utilizing Machine Learning. - Jinxin Ding; Yuxin Huang; Keyang Ni; Xueyao Wang; Yinxiao Wang; Yucheng Wang (CoRR, 2022)

Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Digit. Signal Process., 2022)

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Eng. Appl. Artif. Intell., 2022)

Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (J. Comput. Sci., 2022)

SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector. - Linjie Fu; Xia Li; Xiuding Cai; Yingkai Wang; Xueyao Wang; Yu Yao; Yali Shen (CoRR, 2023)

Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography. - Jing Lei 002; Xueyao Wang (Expert Syst. Appl., 2023)

MD-Dose: A diffusion model based on the Mamba for radiation dose prediction. - Linjie Fu; Xia Li; Xiuding Cai; Xueyao Wang; Yali Shen; Yu Yao (BIBM, 2024)

A GCN-Based Trip Recommendation Method Incorporating Reverse Effect. - Wenjing Luan; Xueyao Wang; Liang Qi 001; Kun Liu 006; Xiwang Guo 001 (SMC, 2024)

Bayesian Random Semantic Data Augmentation for Medical Image Classification. - Yaoyao Zhu; Xiuding Cai; Xueyao Wang; Yu Yao (CoRR, 2024)

MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction. - Linjie Fu; Xia Li; Xiuding Cai; Yingkai Wang; Xueyao Wang; Yali Shen; Yu Yao (CoRR, 2024)

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting. - Xiuding Cai; Yaoyao Zhu; Xueyao Wang; Yu Yao (CoRR, 2024)

Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. - Jing Lei 002; Qibin Liu; Xueyao Wang (Eng. Appl. Artif. Intell., 2024)