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、五篇代表性论文

[1] A. Yuan#, M. You*#, Y. Wang, X. Li, and X. Li, “Symmetrical Self-representation and Data-grouping Strategy for Unsupervised Feature Selection,'' IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2024.3437364, 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] 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）

[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=4.072)

[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]  西北农林科技大学博士科研启动基金（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。

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