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导师介绍
基本情况
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姓 名： |
郝思媛 |
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职 务： |
副教授 |
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职 称： |
副教授 |
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学 历： |
博士研究生 |
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学 位： |
博士 |
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通信地址： |
逸夫楼西711 |
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邮 编： |
100044 |
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办公电话： |
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电子邮箱： |
教育背景
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2022.05—今 北京交通大学软件学院副教授. 2020.08—2022.04 青岛理工大学副教授. 2018.08—2020.08 博士后 瑞士洛桑联邦理工大学(EPFL - École Polytechnique Fédérale de Lausanne, QS 世界排名前20)，导师 Mathieu Salzmann, Pascal Fua. 2016.01—2018.07 青岛理工大学讲师. 2015.01—2015.07 访问学者 意大利特伦托大学(Università di Trento, Italy)，导师 Lorenzo Bruzzone (IEEE Fellow). 2012.09—2015.12 博士 哈尔滨工程大学，导师 王立国. 2010.09—2013.03 硕士 哈尔滨工程大学.
※招生信息：欢迎对深度学习、机器学习、遥感影像处理感兴趣的同学加入，2024年计划招收学术型硕士1名、全日制专硕2名。※
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研究方向
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模型设计方向：生成对抗网络(GAN-Generative Adversarial Network)、图像超分辨率(Super Resolution)网络、多分支融合网络、分类网络； 任务应用方向：遥感影像处理（图像配准、图像分类、图像融合等）、多源数据融合。
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科研项目
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主持国家自然科学基金面上项目，62171247，基于递归结构的遥感影像智能解译方法研究，2022/01-2025/12，56万元 主持国家自然科学基金青年项目，61701272，深层网络下高光谱遥感影像特征表达与融合，2018/01-2020/12，27万元 主持山东省自然科学基金培养基金，ZR21017PF004，深度学习框架下高光谱图像空-谱特征提取与融合，2017/07- 2018/12，4万元 参与青岛市应用基础研究计划项目，基于复杂网络的动态纹理识别技术研究，2017/03-2019/03，10万元 参与山东省自然科学基金委员会，2018GGX101040, 基于3D视觉的轮胎成型工艺缺 陷实时检测系统研发，2018/06-2020/05，20万元 参与青岛市科技局，应用基础研究项目，基于3D视觉的轮胎成型工艺缺陷检测及智能决策系统研究，2018/01-2019/12，10万元 |
教学工作
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本科生课程：离散数学、数字图像处理（New! 2023年新开课程，课程负责人） 研究生课程：计算感知 (New! 2023年新开课程) |
论文/期刊
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Selected Articles! Please refer to my Google Scholar for the full list. Google Citation: 872 (Updated in 2024 April). Recent Publications (2022-2024).1 N Li, Siyuan Hao, K Zhao. A hybrid CNN–vision transformer structure for remote sensing scene classification. Remote Sensing Letters 15 (1), 88-98. 2024 2 B Wu, Siyuan Hao, W Wang. Class-Aware Self-Distillation for Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023. 3 K Zhao, S Li, L Zhou, J Sun, Siyuan Hao. When complementarity meets consistency: weighted collaboration fusion constrained by consistency between views for multi-view remote sensing scene classification. International Journal of Remote Sensing 44 (23), 7492-7514 2023. 4 Siyuan Hao, R Li, M Zhang, Y Ye. Multi-layer feature fusion for hyperspectral image classification. International Journal of Remote Sensing 44 (20), 6442-6467. 2023 5 Siyuan Hao, Y Xia, Y Ye. Generative adversarial network with transformer for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters. 2023 6 Siyuan Hao, N Li, Y Ye. Inductive Biased Swin-Transformer With Cyclic Regressor for Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023 7 K Zhao, Q Gao, Siyuan Hao, J Sun, L Zhou. Credible remote sensing scene classification using evidential fusion on aerial-ground dual-view images Remote Sensing 15 (6), 1546. 2023 8 L Zhou, X Ma, X Wang, Siyuan Hao, Y Ye, K Zhao. Shallow-to-deep spatial–spectral feature enhancement for Hyperspectral Image Classification, Remote Sensing 15 (1), 261. 2023 (高被引论文) 9 Siyuan Hao, Y Xia, L Zhou, Y Ye, W Wang. Spectral and spatial feature fusion for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters 19, 1-5. 2022 10 K Zhao, T Yu, L Zhou, T Nie, Siyuan Hao. FAWNet: two-phase attention based street view image classification for urban land use analysis， Remote Sensing Letters 13 (9), 958-968. 2022 11 J Sun, X Wang, K Zhao, Siyuan Hao, T Wang. Multi-channel EEG emotion recognition based on parallel transformer and 3D-convolutional neural network. Mathematics 10 (17), 3131. 2022 12 L Zhou, E Xu, Siyuan Hao, Y Ye, K Zhao，Data-wise spatial regional consistency re-enhancement for hyperspectral image classification. Remote Sensing 14 (9), 2227. 2022 13 Y Ye, T Tang, B Zhu, C Yang, B Li, S Hao. A Multiscale Framework with Unsupervised Learning for Remote Sensing Image Registration. IEEE Transactions on Geoscience and Remote Sensing 60, 1-15. 2022 (SCI，IF=5.6, 中科院二区)单篇论文引用量 Google Citation 79. 14 E Li, L Ma, S Hao, X Wang， Security and reliability analysis of relay selection in cognitive relay networks ， Wireless Personal Communications, 1-23. 2022 15 S Hao, B Wu, K Zhao, Y Ye, W Wang，Two-stream swin transformer with differentiable sobel operator for remote sensing image classification. Remote Sensing 14 (6), 1507. 2022 Other Publications 1 Siyuan Hao, W Wang, M Salzmann. Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2020. (SCI，IF=5.6, 中科院二区) 2 Siyuan Hao, Wei Wang, Yuanxin Ye, et al. A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Class-wise loss, IEEE Transactions on Geoscience and Remote Sensing, 2018:1-14. (SCI，IF=5.6, 中科院二区) 单篇论文引用量 Google Citation 76. 3 Siyuan Hao, Wei Wang, Yuanxin Ye, et al. Two-Stream Deep Architecture for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2017:1-13.(SCI，IF=5.6, 中科院二区) 单篇论文引用量 Google Citation 129. 4 Yuanxin Ye, Jie Shan, Siyuan Hao，L Bruzzone, Y Qin, A local phase based invariant feature for remote sensing image matching [J], ISPRS Journal of Photogrammetry & Remote Sensing, 2018, 142:205-221.(唯一通讯作者, SCI, IF=8.978 , 中科院一区) 单篇论文引用量 Google Citation 89. 5 Siyuan Hao, Wei Wang, Yan Yan, Lorenzo Bruzzone. Class-wise dictionary learning for hyperspectral image classification, Neurocomputing, 2017, 220: 121-129. (SCI, IF=5.719) 6 Siyuan Hao, Liguo Wang, Lorenzo Bruzzone, Wei Wang. Spatial-dictionary for collaborative representation classification of hyperspectral images, Multimedia Tools and Applications, 2016, 75(15): 9241-9254. (SCI, IF=2.757) 7 叶沅鑫, 郝思媛*. 基于几何结构属性的光学和SAR影像自动配准, 红外与毫米波学报, 2017(6):720-726. (唯一通讯作者, SCI, IF= 1.479 ) 8 Liguo Wang, Siyuan Hao, Qunming Wang, and Ying Wang, Semi-supervised Classification for Hyperspectral Imagery Based On Spatial-spectral Label Propagation. ISPRS Journal of Photogrammetry and Remote Sensing (SCI, IF=8.978 , 中科院一区). (博士期间研究成果) 单篇论文引用量 Google Citation 124. 9 Liguo Wang, Siyuan Hao, Ying Wang, Yun Lin, and Qunming Wang, Spatial-spectral Information-Based Semi-supervised Classification Algorithm For Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (SCI, IF= 3.784).(博士期间研究成果) 10 Liguo Wang, Siyuan Hao, Qunming Wang, Peter M. Atkinson, A New Composite Kernel for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters (SCI, IF=3.966). (博士期间研究成果) 11 Liguo Wang, Siyuan Hao, Label Propagation Based-semi-supervised Classification for Hyperspectral Imagery. 2014 International Workshop on Software Engineering and Management Information System (EI会议). (博士期间研究成果) |
研究生培养
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2022级 杨智超 2021级 李楠(发表2篇SCI)、李瑞(发表1篇SCI，1篇SCI在投)；2020级 吴斌(发表2篇SCI)、夏裕凤(发表2篇SCI)；
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专利
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郝思媛，聂廷远. 基于类字典的高光谱图像分类方法及转置，2021-1-1，中国，ZL201611023680.4
王立国，郝思媛. 基于空-谱信息的高光谱半监督分类方法, 2017-2-22, 中国，ZL201410083791.9 王立国，郝思媛. 基于一种新复合核函数的高光谱分类方法, 2017-5-24，中国，ZL201410386737.1 |
社会兼职
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ACM ISPRS Reviewer. Neurocomputing Reviewer. Multimedia Tools & Applications Reviewer. IEEE Member.
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