毕业学校：中国科学院大学

专       业：信号与信息处理

研究方向：机器学习、图像处理、人工智能

博士：2015-2018，中国科学院大学，信号与信息处理专业，师从李学龙研究员

本科生：数字图像处理、机器学习、数值分析

研究生：机器学习

一、代表性论文

[1] A. Yuan#, M. You*#, Y. Wang, X. Li, and X. Li, “Symmetrical Self-representation and Data-grouping Strategy for Unsupervised Feature Selection,'/szdw/fjs/2019110006/' IEEE Transactions on Knowledge and Data Engineering, vol36, no. 12, pp. 9348-9360, 2024. (CCF A类期刊)

[2] M. You#, A. Yuan*#, M. Zou, D. He, and X. Li, “Robust Unsupervised Feature Selection viaMulti-Group Adaptive Graph Representation,'' IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 3030-3044, 2023. (CCF A类期刊)

[3] A. Yuan, M. You*, D. He, and X. Li, “Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection,'' IEEE Transactions on Cybernetics, vol. 52, no. 6, pp. 5522-5534, 2022. (CCF B类期刊，中科院分区一区Top期刊，IF= 19.118)

[4] M. You,  A. Yuan*#, Dongjian He, Xuelong Li,“Unsupervised feature selection via neural networksand self-expression with adaptive graph constraint,'' Pattern Recognition, vol. 135, 2023. (CCF B类期刊，中科院分区一区Top期刊，IF=8.518)

[5] A. Yuan*#, H. Lv#, J. Hu*, and M. You, "Adaptive Graph-Guided Feature Decomposition for Unsupervised Multiview Feature Selection," IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2026.3694172, 2026.  (CCF B类期刊，中科院分区一区Top期刊，IF= 8.9)

[6] X. Li, A. Yuan, and X. Lu, “Vision-to-language tasks based on attributes and attention mechanism,'' IEEE Transactions on Cybernetics, vol. 51, no. 2, pp. 913-926, 2021. (CCF B类期刊，中科院分区一区Top期刊，IF=19.118)

二、其他论文（第一作者或通讯作者论文）

[18] J. Luo, L. Ban, and A. Yuan*, "Autoencoder-like structure with correntropy-induced metric for unsupervised feature selection," Neurocomputing, vol. 671, 2025. (CCF C类期刊，中科院分区二区期刊，IF=6.5)

[17] Y. Jiang, C. Zhai, J. Hu, and A. Yuan*, "Multi-view Unsupervised Feature Selection via Adaptive Graph and Consensus Learning," PRCV 2025.

[16] H. Luo, C. Xu, Z. Ji and A. Yuan*, "Adaptive Graph Learning for Multi-view Unsupervised Feature Selection," ACAIT 2024.

[15] W. Zhang#, A. Yuan#, J. Tang, and X. Li,  "Sparse Principal Component Analysis and Adaptive Multigraph Learning for Hyperspectral Band Selection," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, 2024. (遥感领域权威期刊)

[14] A. Yuan*#, L. Lin, P. Tian, and Q. Zhang,  "Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation," PRCV, 2023. (CCF C类会议)

[13] M. You#, A. Yuan*#, M. Zou, D. He, and X. Li,  "Robust Unsupervised Hyperspectral Band Selection via Global Affinity Matrix Reconstruction," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, 2023. (遥感领域权威期刊)

[12] M. You, X. Meng, Y. Wang, H. Jin, C. Zhai, A. Yuan*,“Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint,'' Remote Sensing, vol. 14, no. 17, 2023. (遥感领域权威期刊)

[11] M. You, L. Ban, Y. Wang, J. Kang, G. Wang, A. Yuan*,“Unsupervised feature selection with joint self-expression and spectral analysis via adaptive graph constraints,'' Multimedia Tools and Applications (2022). (CCF C类期刊)

[10] A. Yuan, J. Huang, C. Wei, W. Zhang, N. Zhang, M. You*,“Unsupervised Feature Selection via Feature-Grouping and Orthogonal Constraint,'' ICPR 2022. (CCF C类会议，Oral)

[9] A. Yuan, J. Yu, K. Gao, X. Zuo, M. You*,“Low Rank and Semi-Nonnegative Tensor Factorization for Hyperspectral Imagery Denoising,'' IGARSS 2022. (遥感领域Top会议，Oral)

[8] W. Zhang, A. Yuan, J. Tang,“Hyperspectral Band Selection via Sparse Principal Component Analysis and Adaptive  Multiple Graph Learning,'' IGARSS 2022. (遥感领域Top会议，Oral)

[7] A. Yuan, X. Gao, M. You, and D. He, “Joint Self-expression with Adaptive Graph for Unsupervised Feature Selection,'' PRCV 2020: 185-196.

[6] A. Yuan, X. Li, and X. Lu, "3G structure for image caption generation,"Neurocomputing (Elsevier), vol. 33, no. 2, pp. 17-29, 2019. (CCF C类期刊，中科院分区二区期刊，IF=6.5)

[5] A. Yuan, X. Li, and X. Lu, “FFGS: Feature fusion with gating structure for image caption generation,'' in Proceedings of the CCF Chinese Conference on Computer Vision (Springer), 2017, pp. 638-649.

[4] X. Li, A. Yuan, and X. Lu, “Multi-modal gated recurrent units for image description,” Multimedia Tools and Applications (Springer), vol. 77, no. 22, pp. 29847-29869, 2017. (CCF C类期刊，中科院分区三区期刊，IF=2.101)

[3] 孟卫锋,袁爱红,贾天龙,江一夫.高精度惯性平台十六位置自标定方案[J].中国惯性技术学报,2015,23(02):150-155.

[2] 袁爱红,孟卫锋.一种新的十六位置惯性平台自标定方法[J].弹箭与制导学报, 2015, 35 (04): 5-10.

[1] 孟卫锋,袁爱红,贾天龙,高璞.曲线光顺在惯导平台自标定中的应用[J].压电与声光, 2015, 37 (01): 154-157+161.

二、科研项目

[8]  国家自然科学基金青年项目（62306244），2024.01-2026.12，主持。

[7]  陕西省厅市联动重点项目（2022GD-TSLD-53）,2022.07-2025.06，子课题负责人。

[6]  beat365官方网站博士科研启动基金（Z1090219095），2019.04~2021.03，主持。

[5]  陕西省自然基金青年项目（2020JQ-279），2020.01~2021.12，主持。

[4]  国家自然科学基金面上项目（61702422），面向对象的高光谱异常检测，参与。

[3]  国家重点研发计划项目（2017YFB0502900），参与。

[2]  中科院重点研发计划（QYZDB-SSW-JSC015），参与。

[1]  中科院重点研发计划（QYZDY-SSW-JSC044），参与。

Alma Mater: University of Chinese Academy of Sciences

Major: Signal and Information Processing

Research Areas: Machine Learning, Image Processing, and Artificial Intelligence

Ph.D.: Signal and Information Processing, University of Chinese Academy of Sciences, 2015–2018; supervised by Research Professor Xuelong Li

Image Processing, Computer Vision, and Machine Learning

Undergraduate: Digital Image Processing, Machine Learning, and Numerical Analysis

Graduate: Machine Learning

I. Selected Publications

[1] A. Yuan^#, M. You^*#, Y. Wang, X. Li, and X. Li, “Symmetrical Self-representation and Data-grouping Strategy for Unsupervised Feature Selection,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 9348–9360, 2024. (CCF A-ranked journal)

[2] M. You^#, A. Yuan^*#, M. Zou, D. He, and X. Li, “Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 3030–3044, 2023. (CCF A-ranked journal)

[3] A. Yuan, M. You^*, D. He, and X. Li, “Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection,” IEEE Transactions on Cybernetics, vol. 52, no. 6, pp. 5522–5534, 2022. (CCF B-ranked journal; CAS Q1 Top journal; IF = 19.118)

[4] M. You, A. Yuan^*#, D. He, and X. Li, “Unsupervised Feature Selection via Neural Networks and Self-Expression With Adaptive Graph Constraint,” Pattern Recognition, vol. 135, 2023. (CCF B-ranked journal; CAS Q1 Top journal; IF = 8.518)

[5] A. Yuan^*#, H. Lv^#, J. Hu^*, and M. You, “Adaptive Graph-Guided Feature Decomposition for Unsupervised Multiview Feature Selection,” IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2026.3694172, 2026. (CCF B-ranked journal; CAS Q1 Top journal; IF = 8.9)

[6] X. Li, A. Yuan, and X. Lu, “Vision-to-Language Tasks Based on Attributes and Attention Mechanism,” IEEE Transactions on Cybernetics, vol. 51, no. 2, pp. 913–926, 2021. (CCF B-ranked journal; CAS Q1 Top journal; IF = 19.118)

II. Other Publications (First or Corresponding Author)

[18] J. Luo, L. Ban, and A. Yuan^*, “Autoencoder-like Structure With Correntropy-Induced Metric for Unsupervised Feature Selection,” Neurocomputing, vol. 671, 2025. (CCF C-ranked journal; CAS Q2 journal; IF = 6.5)

[17] Y. Jiang, C. Zhai, J. Hu, and A. Yuan^*, “Multi-view Unsupervised Feature Selection via Adaptive Graph and Consensus Learning,” PRCV 2025.

[16] H. Luo, C. Xu, Z. Ji, and A. Yuan^*, “Adaptive Graph Learning for Multi-view Unsupervised Feature Selection,” ACAIT 2024.

[15] W. Zhang^#, A. Yuan^#, J. Tang, and X. Li, “Sparse Principal Component Analysis and Adaptive Multigraph Learning for Hyperspectral Band Selection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, 2024. (Leading journal in remote sensing)

[14] A. Yuan^*#, L. Lin, P. Tian, and Q. Zhang, “Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation,” PRCV 2023. (CCF C-ranked conference)

[13] M. You^#, A. Yuan^*#, M. Zou, D. He, and X. Li, “Robust Unsupervised Hyperspectral Band Selection via Global Affinity Matrix Reconstruction,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, 2023. (Leading journal in remote sensing)

[12] M. You, X. Meng, Y. Wang, H. Jin, C. Zhai, and A. Yuan^*, “Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint,” Remote Sensing, vol. 14, no. 17, 2023. (Leading journal in remote sensing)

[11] M. You, L. Ban, Y. Wang, J. Kang, G. Wang, and A. Yuan^*, “Unsupervised Feature Selection With Joint Self-Expression and Spectral Analysis via Adaptive Graph Constraints,” Multimedia Tools and Applications, 2022. (CCF C-ranked journal)

[10] A. Yuan, J. Huang, C. Wei, W. Zhang, N. Zhang, and M. You^*, “Unsupervised Feature Selection via Feature-Grouping and Orthogonal Constraint,” ICPR 2022. (CCF C-ranked conference; Oral)

[9] A. Yuan, J. Yu, K. Gao, X. Zuo, and M. You^*, “Low Rank and Semi-Nonnegative Tensor Factorization for Hyperspectral Imagery Denoising,” IGARSS 2022. (Top conference in remote sensing; Oral)

[8] W. Zhang, A. Yuan, and J. Tang, “Hyperspectral Band Selection via Sparse Principal Component Analysis and Adaptive Multiple Graph Learning,” IGARSS 2022. (Top conference in remote sensing; Oral)

[7] A. Yuan, X. Gao, M. You, and D. He, “Joint Self-Expression With Adaptive Graph for Unsupervised Feature Selection,” PRCV 2020, pp. 185–196.

[6] A. Yuan, X. Li, and X. Lu, “3G Structure for Image Caption Generation,” Neurocomputing, vol. 33, no. 2, pp. 17–29, 2019. (CCF C-ranked journal; CAS Q2 journal; IF = 6.5)

[5] A. Yuan, X. Li, and X. Lu, “FFGS: Feature Fusion With Gating Structure for Image Caption Generation,” in Proceedings of the CCF Chinese Conference on Computer Vision, Springer, 2017, pp. 638–649.

[4] X. Li, A. Yuan, and X. Lu, “Multi-modal Gated Recurrent Units for Image Description,” Multimedia Tools and Applications, vol. 77, no. 22, pp. 29847–29869, 2017. (CCF C-ranked journal; CAS Q3 journal; IF = 2.101)

[3] W. Meng, A. Yuan, T. Jia, and Y. Jiang, “A Sixteen-Position Self-Calibration Scheme for a High-Precision Inertial Platform,” Journal of Chinese Inertial Technology, vol. 23, no. 2, pp. 150–155, 2015.

[2] A. Yuan and W. Meng, “A New Sixteen-Position Self-Calibration Method for Inertial Platforms,” Journal of Projectiles, Rockets, Missiles and Guidance, vol. 35, no. 4, pp. 5–10, 2015.

[1] W. Meng, A. Yuan, T. Jia, and P. Gao, “Application of Curve Smoothing in Self-Calibration of Inertial Navigation Platforms,” Piezoelectrics & Acoustooptics, vol. 37, no. 1, pp. 154–157, 161, 2015.

III. Research Projects

[8] National Natural Science Foundation of China, Young Scientists Fund (62306244), Jan. 2024–Dec. 2026, Principal Investigator.

[7] Shaanxi Provincial Department–City Collaboration Key Project (2022GD-TSLD-53), July 2022–June 2025, Subproject Leader.

[6] Doctoral Research Start-up Fund of Northwest A&F University (Z1090219095), Apr. 2019–Mar. 2021, Principal Investigator.

[5] Natural Science Basic Research Program of Shaanxi, Youth Project (2020JQ-279), Jan. 2020–Dec. 2021, Principal Investigator.

[4] National Natural Science Foundation of China, General Program (61702422), “Object-Oriented Hyperspectral Anomaly Detection,” Participant.

[3] National Key Research and Development Program of China (2017YFB0502900), Participant.

[2] Key Research and Development Program of the Chinese Academy of Sciences (QYZDB-SSW-JSC015), Participant.

[1] Key Research and Development Program of the Chinese Academy of Sciences (QYZDY-SSW-JSC044), Participant.