2019.09-2023.06，陕西科技大学，轻化工过程系统工程，工学博士
2016.09-2019.06，宁夏大学，应用数学，理学硕士
2012.09-2016.06，河西学院，数学与应用数学，理学学士

2023.10-至今，宁夏大学数学统计学院，教师

科学计算、微分方程智能算法、图像质量评价

[1]主持宁夏回族自治区重点研发计划引才专项（基于深度学习的自由流-多孔介质流耦合模型反问题研究，2024BEH04089）
[2]主持宁夏自然科学基金项目（一类饱和水流混合系统的多尺度建模与高效求解方法研究，2026AAC030087）
[3]主持院级教改项目（《智能科学与计算》课程建设）；
[4]参与国家自然科学基金、宁夏自然科学基金等3项。

[1]Wanqing Shang, Guojun Liu, Yazhen Wang, Xiaoyan Ma, Yang Liu, Jing Yue*, DUIEGAN: a physical model and perceptual attention guided dual GAN for underwater image enhancement[J]. Optics and Laser Technology. 2026, 202: 115419.
[2]Xiangguo Liu, Jing Yue, Yi Gao, Guojun Liu, Cheng Ma, Adaptive frequency-aware diffusion model for image denoising[J]. Pattern Recognition Letters. 2026, 205: 133-141.
[3]Shaoxuan Li, Jing Yue, Jian Li, ParalleL-KANs: A parallel Kolmogorov-Arnold Networks approach for solving nonstationary Stokes-Darcy coupled model[J]. Communications in Nonlinear Science and Numerical Simulation. 2026, 152: 109108.
[4]Jian Li, Shaoxuan Li, Jing Yue* MC-CDNNs: The Monte Carlo-coupled deep neural networks approach for stochastic dual-porosity-Stokes flow coupled model[J]. Computers and Mathematics with Applications. 2025, 181:1-20.
[5]李剑, 张文, 岳靖, 彭珂依, 陈掌星, 一类基于不可压缩流体方程及其耦合问题的深度学习方法研究. 计算数学, 2024, 46(2): 232-252. (中文核心)
[6]Jing Yue, Jian Li, Efficient Coupled Deep Neural Networks for the Time-dependent Coupled Stokes-Darcy problems[J]. Applied Mathematics and Computation. 2023, 437: 127514.
[7]Jing Yue, Jian Li, Wen Zhang, CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems[J]. Chinese Physics B. 2023, 32: 010201.
[8]Jian Li, Jing Yue, Wen Zhang, Wansuo Duan, The Deep Learning Galerkin Method for the General Stokes Equations[J]. Journal of Scientific Computing. 2022, 93: 5.
[9]Jing Yue, Jian Li, The Physics Informed Neural Networks for the unsteady Stokes problems[J]. International Journal for Numerical Methods in Fluids. 2022, 94(9): 1416-1433.
[10]Keyi Peng, Jing Yue*, Wen Zhang, Jian Li, The Meshfree-based Physics-informed Neural Networks for the Unsteady Oseen Equations, Chinese Physics B, (2022): Doi.10.1088/ 1674-1056/ac9cb9.
[11]Jian Li, Wen Zhang and Jing Yue, A Deep Learning Galerkin Method for the Second-order linear elliptic equations[J]. International Journal of Numerical Analysis and Modeling. 2021, 18(4): 427-441.
[12]Jian Li, Qian Liu, Jing Yue, Numerical Analysis of Full discrete Finite element Methods for the stochastic Navier-Stokes Equations with Multiplicative Noise[J]. Applied Numerical Mathematics. 2021, 170: 398-417.
[13]岳靖, 刘国军, 付浩. 四元数谱余量彩色图像质量评价[J]. 激光与光电子学进展, 2019, 56(3): 31009-1-8.
[14]马月梅,岳靖,刘国军.彩色图像质量评价的四元数梯度方法[J].数学的实践与认识,2021,51(10):106-113.
[15]陈文兴,岳靖,付浩.带有年龄信息的PCA人脸识别技术[J].数学的实践与认识,2018,48(06):118-130.
[16]Jing Yue, Guojun Liu, Lizhuan Huang, No-Reference Image Quality Assessment via Broad Learning System[C]. Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, Proceedings, Part III. 2021: 168-181.
专利
[1]刘国军，付浩，魏立力，岳靖. 无参考图像质量的评价方法，2019-07-11, 专利号：ZL 2019 1 0626258.5
[2]刘国军，杨玲，岳靖，马月梅. 基于多层次特征分布的图像质量评价方法, 2025-05-13, 专利号：ZL 2024 1 0861552.5
[3]马丞，刘国军，岳靖，马月梅. 基于小波变换的图像去雾方法、装置、设备和存储介质, 2026-04-17, 专利号：ZL 2025 1 0083743.8

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