工学博士，河北工业大学人工智能与数据科学学院副教授，硕士生导师，校级教学名师，中国计算机学会会员。主要研究方向为机器学习与智能计算、遥感图像处理。负责2项省部级基金，参与多项省部级基金项目，发表相关论文20余篇，申请发明专利8项，已授权并转让1项，获河北省教学成果奖2项。长期与河北省气象局、河北泽华伟业科技股份有限公司等单位保持合作，完成企业课题多项。
近年代表性论文：
[1]Z. Zhang, J. Liu, Y. Dong and J. Zhang, "A Frequency Domain Auxiliary Network for Image Retrieval," in IEEE Signal Processing Letters, vol. 31, pp. 2425-2429, 2024, doi: 10.1109/LSP.2024.3456632.
[2]J. Zhang, C. Zhang, S. Liu, Z. Shi and B. Pan, "Three-Dimensional Frequency-Domain Transform Network for Cross-Scene Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024, Art no. 5409813, doi: 10.1109/TGRS.2024.3491159.
[3]张军, 张洋, 石陆魁, 潘斌, 史进. 基于缺陷引导与差异映射的级联网络用于表面缺陷检测[J]. 计算机辅助设计与图形学学报, 2024, 36(10): 1538-1548. DOI: 10.3724/SP.J.1089.2024.20019 （CCFA 中文期刊）
[4] J. Zhang, S. Li, Y. Dong, B. Pan and Z. Shi, "Hierarchical Similarity Alignment for Domain Adaptive Ship Detection in SAR Images," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3227626.(top)
[5]Zhang J, Huang R, Li Y, et al. Oriented Ship Detection Based on Intersecting Circle and Deformable RoI in Remote Sensing Images[J]. Remote Sensing, 2022, 14(19): 4749.(Top)
[6] Zhang J, Wu P, Xu X, et al. PCS-LSTM: A Hybrid Deep Learning Model for Multi-stations Joint Temperature Prediction based on Periodicity and Closeness[J]. Neurocomputing, 501 (2022) 151–161. Doi:10.1016/j.neucom.2022.06.015(Top)
[7] Zhang J, Liu Y, Wu P, et al. Mining Cross-Domain Structure Affinity for Refined Building Segmentation in Weakly Supervised Constraints[J]. Remote Sensing, 2022, 14(5): 1227. (Top)
[8]Zhang J, Liu J, Pan B, Chen Z, Xu X and Shi Z, An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification[J].IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5609512, doi: 10.1109/TGRS.2021.3110060 (Top)
[9] Zhang J, Liu J, Pan B and Shi Z. Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020,58(11): 7920-7930. doi: 10.1109/TGRS.2020.2985072.(Top)高被引及热点论文
[10] Zhang J, Xie C, Xu X, Shi Z and Pan B. A Contextual Bidirectional Enhancement Method for Remote Sensing Image Object Detection [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020,13:4518-4531.
[11] Zhang J, Liu J, Shi L, Pan B, Xu X. An Open Set Domain Adaptation Network Based on Adversarial Learning for Remote Sensing Image Scene Classification [C]//IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 1365-1368.
[12] Zhang J, Zhang M, Pan B and Shi Z. Semisupervised Center Loss for Remote Sensing Image Scene Classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020,13:1362-1373.
[13] Zhang J, Zhang M, Shi L, Yan W, Pan B. A Multi-Scale Approach for Remote Sensing Scene Classification Based on Feature Maps Selection and Region Representation [J]. Remote Sensing, 2019, 11(21): 2504.
[14] Jun Zhang ,Jiazhuo Du , Hongpu Liu , Xiangdan Hou etc. LU-NET: An Improved U-Net for Ventricular Segmentation[J]. IEEE Access, 2019,(7): 92539-92546
[15] 张军,吴朋莉,石陆魁,史进,潘斌.联合MOD11A1和地面气象站点数据的多站点温度预测深度学习模型[J].计算机应用,2023,43(1):321-328
[16] 张军,解鹏,张敏,闫文杰,石陆魁.基于多尺度特征融合的土地利用分类算法[J].计算机工程与设计,2020,41(04):1099-1104 2021.04
[17] 张军,张敏,郝小可,解鹏.基于多尺度特征融合的中分辨率遥感场景分类算法[J].河北大学学报(自然科学版),2019,39(06):666-672. 2019.06
专利：
[1]张军,张程.基于三维频域变换的域泛化高光谱图像分类方法[P].天津市:CN202411273536.0,2024-11-19.
[2]张军,王朝权,张智铭,等.基于频谱信息引导的图像检索方法[P].天津市:CN202410329878.3,2024-06-14.
[3]张军,张智铭,杨召云,等.基于空频交互的分布差异自适应图像检索方法[P].天津市:CN202311424869.4,2024-01-09.
[4]张军,李朝阳,石陆魁,等.基于孪生网络对比学习的图像隐写分析方法[P].天津市:CN202310567528.6,2023-08-04.
[5]张军,都旭,石陆魁,等.一种基于SCC-RCE预测单元的预测网络及网格化PM2.5浓度预测方法[P].天津市:CN202310601622.9,2023-08-22.
[6]张军, 黄若飞, 李妍,等. 用于遥感目标检测的旋转目标检测方法.ZL202110666805.X 20220315
[7]张军,李妍,张洋,等.基于特征重构的表面缺陷检测方法[P].天津市:CN202210083931.7,2024-12-10. [1]张军,李思敏,李妍,等.一种基于域适应的雷达图像船舶检测网络模型及检测方法[P].天津市:CN202210614592.0,2024-09-13.
[8]张军,付英健,刘恩海,等.一种联合transformer注意力循环网络的网格化PM2.5浓度预测方法[P].天津市:CN202210477690.4,2022-09-20.
项目：
[1]F2023202001 面向数据分布差异的遥感图像目标检测算法研究 河北省自然科学基金 2023.01-2026.12 主持
[2]ZD2021311 基于开放集域适应的遥感图像场景分类算法研究 河北省高等学校科学技术研究项目（重点）2021.03-2023.12 主持
[3] 14JCYBJC18500 室外环境下机器人有毒有害气体多源嗅觉定位研究 天津市应用基础与前沿技术研究计划 2014.04-2017.03 主持
[4]E2014202230 多种不确定性并存情况下的点期可靠性度量模型建模与应用研究 河北省自然科学基金 2014.01-2016.12 第二
横向课题：
FY-3H天气气候生态诊断产品系统建设项目 2024
多源军事伪装目标检测可视化系统 2023
白洋淀水位动态监测预测模型建设项目 2023
基于人工智能技术的中期空气质量预报业务应用项目 2021-2022
基于LSTM和在线学习的单系统仿真模型补偿矫正方法 2021-2022
通用小气候环境气象观测要素采集系统 2020
雄安新区高分卫星生态遥感监测评估系统 2019
联系方式
地址：天津市北辰区西平道 5340 号 邮编：300401
电话：022-60435836
邮箱：zhangjun@scse.hebut.edu.cn