杨波 讲师

• 学院： 未来交通学院
• 性别： 男
• 出生年月：
• 职称： 讲师
• 学位： 博士
• 学历： 研究生
• 毕业院校： 西安电子科技大学
• 联系电话：
• 电子邮箱： byang@chd.edu.cn
• 通讯地址：
• 邮编：
• 传真：
• 办公地址： 长安大学渭水校区弘毅大厦1109
• 教育经历：

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。申请国家发明专利5项，授权2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等。

IEEE Member

Pattern Recognition、Neural Networks等十余个中科院一区TOP期刊审稿人

本科生课程《数据结构与算法分析》(双语)

本科生课程《计算机视觉》(双语)

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)