beats365(中国区)-唯一官方网站

姓名：杨小远

职称：教授

所属系别：计算科学系

学科专业：应用数学

办公地点：沙河校区国实E-403-6

电子邮箱：xiaoyuanyang@vip.163.com;xiaoyuanyang@buaa.edu.cn

教育背景

n 1981.9-1985.9辽宁大学数学系计算数学专业获理学学士学位

n 1985.9-1988.3中科院沈阳计算所计算数学专业获理学硕士学位

n 2002.9-2007.12beats365亚洲版官网计算机应用专业获工学博士学位

工作简历

n 2000.9-现在 beats365亚洲版官网数学与系统科学学院,教授,博导

科研项目

研究领域：

n 随机微分方程有限元理论；

n 应用调和分析和图像处理；

n 基于深度学习的计算机视觉领域任务研究。

主持科研项目：

n 主持国家自然基金项目《基于深度学习的多源遥感图像融合算法研究》,

62371017,2024.1-2027.12;

n 主持国家自然基金项目《基于各项异性双树复紧框架变换的多源遥感图像融合算法研究》,61671002,2017.1-2020.12;

n 主持国家自然基金项目《对偶框架各向异性提升变换理论与应用究》, 61271010, 2013.1-2016.12;

n 主持国家自然基金项目《基于框架理论的遥感图像压缩算法研究》,60775018,2008.1-2010.1;

n 主持北京市自然基金项目《基于各向异性紧框架变换的多源遥感图像融合理论与应用研究》,4152029,2014.1-2017.12.

代表作论著

发表学术论文：

【1】Y. Li, X. Yang, W. Liu, X. Jin, X. Jia, Y. Lai, P. Rosin, H. Liu, and W. Zhou, Temporal Inconsistency Guidance for Super-Resolution Video Quality Assessment, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI), 2026. (CCF-A)

【2】K. Shen, G. Vivone, S. Lolli, M. Schmitt, X. Yang, and J. Chanussot, IcGAN4ColSAR: A Novel Multispectral Conditional Generative Adversarial Network Approach for SAR Image Colorization, IEEE Geoscience and Remote Sensing Letters, Vol. 22, PP. 1-5, 2025. (SCI, Q2, IF, 4.0)

【3】Y. Li, X. Yang, G. Yue, J. Fu, Q. Jiang, X. Jia, P. L. Rosin, H. Liu, and W. Zhou, Perception-Oriented Bidirectional Attention Network for Image Super-Resolution Quality Assessment, IEEE Transactions on Image Processing, Vol. 34, PP. 7728-7743, 2025. (SCI, Q1, IF, 13.7)

【4】Y. Li, X. Yang, Y. Luo, H. Amirpour, H. Liu, and W. Zhou, Unlocking Implicit Motion for Evaluating Image Complexity, Displays, Vol. 90, PP. 103131, 2025. (SCI, Q2, IF, 3.4)

【5】J. Jiang, S. Liao, X. Yang, and K. Shen, EAMNet: Efficient Adaptive Mamba Network for Infrared Small-Target Detection, IEEE Transactions on Geoscience and Remote Sensing, Vol. 63, PP. 1-17, 2025. (SCI, Q1, IF, 8.6)

【6】H. Zeng, X. Yang, K. Shen, Y. Li, J. Jiang, and F. Li, Cross-Modal Contrastive Pansharpening via Uncertainty Guidance, IEEE Transactions on Geoscience and Remote Sensing, Vol. 63, PP. 1-14, 2025. (SCI, Q1, IF, 8.6)

【7】F. Jiang and X. Yang, Federated Bayesian Optimization on Random Fourier Additive Margin Features and Random Kernel Mapping, Applied Soft Computing, Vol. 175, PP. 112925, 2025. (SCI, Q1, IF, 7.2)

【8】K. Shen, G. Vivone, X. Yang, S. Lolli, and M. Schmitt, A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches, Neural Networks, Vol. 169, PP. 698-712, 2024. (SCI, Q1, IF, 6.0)

【9】Y. Li, X. Yang, J. Fu, G. Yue, and W. Zhou, Deep Bidirectional Attention Network for Image Super-Resolution Quality Assessment, IEEE International Conference on Multimedia and Expo (ICME), 2024. (CCF-B)

【10】K. Shen, X. Yang, S. Lolli, and G. Vivone, A Continual Learning-Guided Training Framework for Pansharpening, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 195, PP. 45-57, 2023. (SCI, Q1, IF, 10.6)

【11】Z. Li, X. Yang, K. Shen, F. Jiang, J. Jiang, H. Ren, and Y. Li, Adversarial Feature Hybrid Framework for Steganography with Shifted Window Local Loss, Neural Networks, Vol. 165, PP. 358-369, 2023. (SCI, Q1, IF, 6.0)

【12】J. Jiang, X. Yang, and Y. Li, IIANet: Information Interactivity Attention Network with Adversarial Learning for Infrared Small Object Detection, Computer Vision and Image Understanding, Vol. 237, PP. 103839, 2023. (SCI, Q2, IF, 4.3)

【13】F. Jiang, X. Yang, Y. Li, and L. Li, Fedmpo: Federated Optimization Based on Multidimensional Especially 3-Dimensional Proximal Operator, International Journal of Machine Learning and Cybernetics, Vol. 15, PP. 1075-1085, 2024. (SCI, Q2, IF, 3.1)

【14】H. Ren and X. Yang, WeightFace: Weight Adaptive Scaling Loss for Face Recognition, Multimedia Tools and Applications, Vol. 82, PP. 36633-36646, 2023. (SCI, Q2, IF, 4.3)

【15】X. Liu and X. Yang, Conforming Finite Element Method for the Time-Fractional Nonlinear Stochastic Fourth-Order Reaction Diffusion Equation, Numerical Methods for Partial Differential Equations, Vol. 39, PP. 3657-3676, 2023. (SCI, Q1, IF, 2.1)

【16】X. Liu and X. Yang, Numerical Approximation of the Stochastic Equation Driven by the Fractional Noise, Applied Mathematics and Computation, Vol. 452, PP. 128053, 2023. (SCI, Q1, IF, 3.5)

【17】F. Jiang, X. Yang, H. Ren, Z. Li, K. Shen, J. Jiang, and Y. Li, DuaFace: Data Uncertainty in Angular Based Loss for Face Recognition, Pattern Recognition Letters, Vol. 167, PP. 25-29, 2023. (SCI, Q2, IF, 3.9)

【18】Z. Li and X. Yang, Dual Branch Parallel Steganographic Framework Based on Multi-Scale Distillation in Framelet Domain, Neurocomputing, Vol. 514, PP. 182-194, 2022. (SCI, Q1, IF, 5.5)

【19】J. Jiang, X. Yang, Z. Li, K. Shen, F. Jiang, H. Ren, and Y. Li, MultiBSP: Multi-Branch and Multi-Scale Perception Object Tracking Framework Based on Siamese CNN, Neural Computing and Applications, Vol. 34, PP. 18787-18803, 2022. (SCI, Q2, IF, 4.5)

【20】K. Shen, X. Yang, Z. Li, J. Jiang, F. Jiang, H. Ren, and Y. Li, DOCSNet: A Dual-Output and Cross-Scale Strategy for Pan-Sharpening, International Journal of Remote Sensing, Vol. 43, PP. 1609-1629, 2022. (SCI, Q2, IF, 3.0)

【21】Z. Li, X. Yang, K. Shen, F. Jiang, J. Jiang, H. Ren, and Y. Li, PSGU: Parametric Self Circulation Gating Activation Function for Deep Neural Networks, Journal of Visual Communication and Image Representation, Vol. 80, PP. 103282, 2021. (SCI, Q2, IF, 2.6)

【22】X. Liu and X. Yang, Mixed Finite Element Method for the Nonlinear Time-Fractional Stochastic Fourth-Order Reaction–Diffusion Equation, Computers & Mathematics with Applications, Vol. 84, PP. 39-55, 2021. (SCI, Q1, IF, 2.9)

【23】Z. Li, X. Yang, K. Shen, R. Zhu, and J. Jiang, Information Encryption Communication System Based on the Adversarial Networks Foundation, Neurocomputing, Vol. 415, PP. 347-357, 2020. (SCI, Q1, IF, 6.0)

【24】R. Zhu, X. Yang, and J. Wang, Real-Time Least-Squares Ensemble Visual Tracking, IET Image Processing, Vol. 14, PP. 53-61, 2020. (SCI, Q3, IF, 2.0)

【25】X. Yang, J. Wang, and R. Zhu, Real-Time Object Tracking via Least Squares Transformation in Spatial and Fourier Domains for Unmanned Aerial Vehicles, Chinese Journal of Aeronautics, Vol. 32, PP. 1716-1726, 2019. (SCI, Q1, IF, 1.18)

【26】J. Lv and X. Yang, Approximate Controllability of Hilfer Fractional Differential Equations, Mathematical Methods in the Applied Sciences, Vol. 43, PP. 242-254, 2020. (SCI, Q1, IF, 2.0)

【27】X. Yang and J. Wang, Random Walks for Pansharpening in Complex Tight Framelet Domain, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, PP. 5121-5134, 2019. (SCI, Q1, IF, 7.5)

【28】X. Yang, J. Wang, and R. Zhu, Random Walks for Synthetic Aperture Radar Image Fusion in Framelet Domain, IEEE Transactions on Image Processing, Vol. 27, PP. 851-865, 2018. (SCI, Q1, IF, 10.6)

【29】X. Li, X. Yang, and Y. Zhang, Error Estimates of Mixed Finite Element Methods for Time-Fractional Navier-Stokes Equations, Journal of Scientific Computing, Vol. 70, PP. 500-515, 2017. (SCI, Q1, IF, 2.5)

【30】Y. Zhang and X. Yang, Difference Approximation of Stochastic Elastic Equation Driven by Infinite Dimensional Noise, Numerical Mathematics: Theory, Methods and Applications, Vol. 9, PP. 123-146, 2016. (SCI, Q2, IF, 1.5)

【31】X. Li and X. Yang, Error Estimates of Finite Element Methods for Stochastic Fractional Differential Equations, Journal of Computational Mathematics, Vol. 35, PP. 346-362, 2017. (SCI, Q2, IF, 0.9)

【32】Y. Zhang and X. Yang, Stochastic Elastic Equation Driven by Multiplicative Multi-Parameter Fractional Noise, Stochastics and Dynamics, Vol. 17, PP. 1750013, 2017. (SCI, Q3, IF, 1.2)

【33】Y. Zhang and X. Yang, Stochastic Elastic Equation Driven by Fractional Brownian Motion, Stochastics: An International Journal of Probability and Stochastic Processes, Vol. 88, PP. 415-427, 2016. (SCI, Q3, IF, 0.8)

【34】X. Yang, X.Li, R. Qi, and Y. Zhang, Full-Discrete Finite Element Method for Stochastic Hyperbolic Equation, Journal of Computational Mathematics, Vol. 33, PP. 533-556, 2015. (SCI, Q2, IF, 0.9)

【35】Y. Zhang and X. Yang, Fractional Stochastic Volterra Equation Perturbed by Fractional Brownian Motion, Applied Mathematics and Computation, Vol. 256, PP. 20-36, 2015. (SCI, Q1, IF, 4.0)

【36】Y. Shi and X. Yang, Pansharpening of Multispectral Images Using the Nonseparable Framelet Lifting Transform with High Vanishing Moments, Information Fusion, Vol. 20, PP. 213-224, 2014. (SCI, Q1, IF, 18.6)

【37】Y. Shi and X. Yang, Translation Invariant Directional Framelet Transform Combined with Gabor Filters for Image Denoising, IEEE Transactions on Image Processing, Vol. 23, PP. 44-55, 2014. (SCI, Q1, IF, 10.6)

【38】J. Dan and X. Yang, Random Error Modeling and Analysis of Airborne LIDAR Systems, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, PP. 3885-3894, 2014. (SCI, Q1, IF, 7.5)

【39】R. Qi and X. Yang, Weak Convergence of Finite Element Method for Stochastic Elastic Equation Driven by Additive Noise, Journal of Scientific Computing, Vol. 56, PP. 450-470, 2013. (SCI, Q1, IF, 2.5)

【40】X. Yang and R. Qi, Nonconforming Finite Element Method for Stochastic Stokes Equations, Applied Mathematical Modelling, Vol. 37, PP. 6110-6118, 2013. (SCI, Q1, IF, 5.0)

【41】R. Qi and X. Yang, A Nonconforming Rectangular Finite Element Pair for the Darcy-Stokes-Brinkman Model, Numerical Methods for Partial Differential Equations, Vol. 29, PP. 510-530, 2013. (SCI, Q2, IF, 2.1)

【42】R. Qi and X. Yang, Full-Discrete Finite Element Method for Stochastic Elastic Equation Driven by an Additive Noise, Numerical Methods for Partial Differential Equations, Vol. 29, PP. 1946-1962, 2013. (SCI, Q2, IF, 2.1)

【43】X. Yang and R. Qi, A Posteriori Analysis of Finite Element Discretizations of Stochastic Partial Differential Delay Equations, Journal of Difference Equations and Applications, Vol. 18, PP. 1649-1663, 2012. (SCI, Q3, IF, 1.2)

【44】Y. Shi and X. Yang, The Lifting Factorization and Construction of Wavelet Bi-Frames with Arbitrary Generators and Scaling, IEEE Transactions on Image Processing, Vol. 20, PP. 2439-2449, 2011. (SCI, Q1, IF, 10.6)

【45】X. Yang and Y. Shi, The Lifting Factorization of Wavelet Bi-Frames with Arbitrary Generators, Mathematics and Computers in Simulation, Vol. 82, PP. 570-589, 2011. (SCI, Q2, IF, 3.6)

【46】X. Yang and Y. Shi, Construction of Parameterizations of Masks for Tight Wavelet Frames with Two Symmetric/Antisymmetric Generators and Application in Image Compression and Denoising, Journal of Computational and Applied Mathematics, Vol. 235, PP. 2112-2136, 2011. (SCI, Q1, IF, 2.1)

【47】X. Yang, W. Wang, and Y. Duan, The Approximation of a Crank-Nicolson Scheme for the Stochastic Navier-Stokes Equations, Journal of Computational and Applied Mathematics, Vol. 225, PP. 31-43, 2009. (SCI, Q1, IF, 2.1)

【48】X. Yang and Y. Duan, A Posteriori Error Estimates for Finite Element Approximation of Unsteady Incompressible Stochastic Navier-Stokes Equations, SIAM Journal on Numerical Analysis, Vol. 48, PP. 1579-1600, 2010. (SCI, Q1, IF, 2.5)

【49】X. Yang and Y. Shi, The Lifting Scheme for Wavelet Bi-Frames: Theory, Structure, and Algorithm, IEEE Transactions on Image Processing, Vol. 19, PP. 612-624, 2010. (SCI, Q1, IF, 10.6)

【50】X. Yang et al., Lifting Construction Based on Bernstein Bases and Application in Image Compression, IET Image Processing, Vol. 4, PP. 385-402, 2010. (SCI, Q3, IF, 2.0)

【51】X. Yang and H. Ren, Embedded Zerotree Wavelets Coding Based on Adaptive Fuzzy Clustering for Image Compression, Image and Vision Computing, Vol. 26, PP. 812-819, 2008. (SCI, Q1, IF, 4.2)

【52】R. Yang and X. Yang, Fractal Image Compression Algorithms Based on Possibility Theory, Fractals-Complex Geometry Patterns and Scaling in Nature and Society, Vol. 15, PP. 183-195, 2007. (SCI, Q1, IF, 3.3)

教学活动

教学综合类获奖：

[1] 教学名师，2012。

[2] 宝钢优秀教师奖，2010 。

[3] “北航数学公共课本研一体化课程体系的构建”，北京市教学成果奖一等奖，2013年。

[4] 北航立德树人卓越奖，2021。

[5] “新工科背景下分析类课群线上教学模式的探索与实践”，北航教学成果一等奖，2021。

[6] 北航首届教材建设先进个人，2024。

[7] 北航第二届优秀教材团队负责人，2025。

主编出版的教材和获奖：

[1] 主编工信部“十四五”规划研究生教材《深度学习教程》，科学出版社，2022年。

[2] 主编工信部“十二五”专著《随机偏微分方程有限元方法》（专著），2014年。