杨波（讲师）

杨波

讲师博士男

长安大学未来交通学院

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个人简介

杨波，博士/博士后，中共党员，长安大学未来交通学院讲师。博士毕业于西安电子科技大学人工智能学院，师从吴金建教授（国家级青年人才）。主要从事多模态图像智能解译方面研究，在IEEE TNNLS、IEEE TIP、IEEE TGRS、IEEE TCYB、Neural Networks等中科院一区TOP期刊和IEEE ICME、IEEE IGARSS等领域旗舰国际会议上发表学术论文10余篇，获国家发明专利5项。主持中国博士后科学基金面上资助项目、陕西省自然科学基础研究计划青年项目（C类）、中央高校基本业务费项目等3项，作为核心成员参与GF科技173重点纵向项目，以及中国航天科工、中国BQ工业、中国资源卫星应用中心等单位横向项目。欢迎积极主动、有科研志向的同学与我邮件联系，参与我的研究，本人可以提供研究选题与思路、代码实现与验证、论文写作与修改的全流程指导。社会职务 IEEE MemberPattern Recognition、Neural Networks等十余个中科院一区TOP期刊审稿人

开设课程

1.《数据结构与算法分析》(双语)，本科生课程，春季学期2. 《计算机视觉》(双语)，本科生课程，秋季学期

科研项目 1 项

主持项目：1. 中国博士后科学基金会，第79批面上资助项目，2026.07—2028.07，在研，主持。2. 陕西省科学技术厅，陕西省自然科学基础研究计划青年项目（C类），2026.08—2028.07，在研，主持。3. 中央高校基本科研业务费专项，青年教师支持项目，2026.01—2027.12，在研，主持

代表性论文 1 篇

2026年[1] Bo Yang, Xiao Pan, Panchao Liu, Yongwei Mao, and Hua Cui. Learning from Coarse Labels: Content-adaptive Graph Inference for Weakly Supervised Hyperspectral Target Detection, IEEE International Conference on Multimedia and Expo (ICME) ,2026. (CCF-B 国际会议)[2] Xiao Pan, Hao Zhu, Bo Yang, Changzhe Jiao, Jie Feng, and Jinjian Wu. MCIB: Multi-modal Complementary Information Bottleneck for Hyperspectral and LiDAR Classification, IEEE Transactions on Image Processing (TIP), 2026, doi: 10.1109/TIP.2026.3673954. (中科院一区TOP期刊)2025年及以前[1] Bo Yang, Changzhe Jiao, Jinjian Wu, and Leida Li. Variational Multiple-Instance Learning With Embedding Correlation Modeling for Hyperspectral Target Detection, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, no. 8, pp. 13953-13967, Aug. 2025. (中科院一区TOP期刊）[2] Bo Yang, Jinjian Wu, and Changzhe Jiao. Proxy-Enhanced Prototype Memory Network for Weakly Supervised Hyperspectral Target Detection, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 63, pp. 1-14, 2025, Art no. 5512514. (中科院一区TOP期刊)[3] Bo Yang, Yi He, Changzhe Jiao, Xiao Pan, Guozhen Wang, Lei Wang, and Jinjian Wu. Multiple-Instance Metric Learning Network for Hyperspectral Target Detection, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 61, pp. 1-16, 2023, Art no. 5516016. (中科院一区TOP期刊)[4] Changzhe Jiao, Bo Yang, Qi Wang, Guozhen Wang, and Jinjian Wu. Discriminative multiple-instance hyperspectral subpixel target characterization, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 60, pp. 1-20, 2022, Art no. 5521420. (中科院一区TOP期刊)[5] Changzhe Jiao*, Bo Yang*, Lirong Liu, Chao Chen, Xiaoying Chen, Wensha Yang, Licheng Jiao. Semantic modeling of hyperspectral target detection with weak labels. Signal Processing (SP), 2023, 209: 109016. (中科院二区期刊)[6] Xiao Pan, Changzhe Jiao, Bo Yang, Hao Zhu, and Jinjian Wu. Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification, Neural Networks (NN), 2025, 187: 107332. (中科院一区TOP期刊)[7] Changzhe Jiao, Bo Yang, and Jinjian Wu, Multiple Instance Constrained Energy Minimization for Discriminative Hyperspectral Target Characterization, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021, pp. 3197-3200. (EI，入选大会口头汇报)[8] Minyan Wang, Bo Yang, Han Zhang, Chengyuan Wang, Xiaojie Jiang, and Changzhe Jiao. Hyperspectral Target Detection via Multi-Instance Self-Attention Semantic Feature Extraction, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024, pp. 9450-9454. (EI)[9] Changzhe Jiao, Chao Chen, Shuiping Gou, Xiuxiu Wang, Bo Yang, Xiaoying Chen, and Licheng Jiao. L1 Sparsity-Regularized Attention Multiple-Instance Network for Hyperspectral Target Detection, IEEE Transactions on Cybernetics (TCYB), vol. 53, no. 1, pp. 124-137, 2023. (中科院一区TOP期刊)[10] Lei Wang, Libin Sun, Xiao Pan, Bo Yang, Rongfang Wang, and Changzhe Jiao. Multi-Excitation Enhanced Multi-Feature Fusion Network for Hyperspectral and LiDAR Data Classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, 2024, pp. 9671-9675. (EI)

工作经历

2025.06——至今，长安大学未来交通学院，讲师2025.07——至今，长安大学交通运输工程博士后流动站，博士后2025.06——至今，长安大学未来交通学院，2025级工科试验班（华为班），班主任