1. 基础信息
姓名：赵利军
职称：电子信息工程学院 副教授
导师资格：硕士生导师
学位：北京交通大学 信号与信息处理专业 工学博士
办公地点：崇德园三号楼4层
电子邮箱：leejun@tyust.edu.cn
2. 研究方向
智能信息处理、图像压缩、图像增强、压缩感知、多描述编码、多模态图像融合、深度图超分辨率、景深预测和三维场景重建、医学影像理解与分析
3. 教育经历
2015.09–2019.06 北京交通大学 信号与信息处理专业 工学博士（导师：国家级人才白慧慧教授）
2016.10–2017.11 加拿大西蒙弗雷泽大学 联合培养博士（导师：加拿大工程院院士梁杰教授）
4. 工作经历
2022.12–至今, 好博体育官网好博体育官网，副教授
2019.6–2022.12, 好博体育官网好博体育官网，讲师
5. 教学工作
本科课程
《人工智能与深度学习》、《计算机通信网络》、《信息论》、《专业英语》
研究生课程
《机器学习》、《深度学习与Python》
教学成果
指导本科毕设、大学生创新创业项目，带队参加全国竞赛；
多次指导研究生获评山西省优秀硕士论文奖；
获院级和校级青年教师教学竞赛奖项。
6. 科研成果
科研项目
纵向课题：主持国家自然科学基金项目1项、山西省基础研究项目2项、山西省筹资金资助回国留学人员科研项目1项、好博体育官网科研项目1项、来晋工作优秀博士奖励资金项目1项。参与国家自然科学基金面上项目2项。
学术论文
代表性期刊论文：
（1）Zhao, Lijun and Zhang, Yufeng, etc. A survey on image compressive sensing: from classical theory to the latest explicable deep learning, Pattern Recognition, 2026. (中科院1区, 通信作者)
（2）Chen, Bintao, Zhao, Lijun, etc. Learning a joint mutual-guidance enhancement network for degraded low-light color image and low-resolution depth map, Engineering Applications of Artificial Intelligence, 2026. (中科院1区, 通信作者)
（3）Zhang, Jialong, Zhao, Lijun, etc. Joint deep-unfolding optimization learning for depth map arbitrary-scale super-resolution, IEEE Transactions on Multimedia, 2025. (中科院1区, 通信作者)
（4）Wang, Xinlu, Zhao, Lijun, etc. A wavelet-domain consistency-constrained compressive sensing framework based on memory-boosted guidance filtering, IEEE Transactions on Instrumentation and Measurement, 2024. (中科院 2区, 通信作者)
（5）Zhao, Lijun, Zhang, Jialong, etc. Joint discontinuity-aware depth map super-resolution via dual-tasks driven unfolding network, IEEE Transactions on Instrumentation and Measurement, 2024. (中科院 2区, 通信作者)
（6）Zhao, Lijun, Chen Bintao, etc. RIRO: From Retinex-inspired reconstruction optimization model to deep low-light image enhancement unfolding network, IEEE Transactions on Computational Imaging, 2024. (中科院2区, 通信作者)
（7）Zhao, Lijun, Wang, Xinlu, etc. Boundary-constrained interpretable image reconstruction network for deep compressive sensing, Knowledge-Based Systems, 2023. (中科院1区, 通信作者)
（8）Wang, Ke and Zhao, Lijun, etc. Joint depth map super-resolution method via deep hybrid-cross guidance filter, Pattern Recognition, 2023. (中科院 1区, 通信作者)
（9）Zhao, Lijun and Bai, Huihui, etc, Multiple description convolutional neural networks for image compression, IEEE Transactions on Circuits and Systems for Video Technology, 2019. (中科院1区, 第一作者)
（10）Zhao, Lijun and Bai, Huihui, etc. Simultaneous color-depth super-resolution with conditional generative adversarial networks, Pattern Recognition, 2019. (中科院1区, 第一作者)
代表性会议论文：
（1）Zhao, Lijun and Wang, Jiaxin, etc. Deep Structure-Texture Guided Image Compression via Cross-Scale Interaction and Dual-Domain Enhancement, IEEE International Conference on Image Processing (ICIP), 2026. (CCF推荐国际学术会议, 通信作者)
（2）Zhao, Lijun and Feng, Xiaoyu, etc. Multi-Modality MRI Semantic Segmentation via Edge-Aware Robust Principal Component Analysis, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (CCF推荐国际学术会议, 通信作者)
（3）Zhao, Lijun and Zhao, Zhanrong, etc. Interpretable Infrared Target Detection via Multi-Scale Robust Principle Component Analysis, IEEE International Conference on Big Data, 2025. (CCF推荐国际学术会议, 通信作者)
（4）Zhao, Lijun and Zhao, Jie, etc. Learning a decomposition-driven two stages unfolding artifact removal network for compressed images, International Conference on Image and Graphics (ICIG), 2025. (CCF推荐国际学术会议, 通信作者)
（5）Ren, Hao and Zhao, Lijun, etc. Dual-edge consistency constrained unfolding network for depth map super-resolution, International Conference on Image and Graphics (ICIG), 2025. (CCF推荐国际学术会议, 通信作者)
（6）Ma, Ying and Zhao, Lijun, etc. OME-Net: Optimization-inspired multi-domain enhanced network for image compressed sensing reconstruction, International Conference on Image and Graphics (ICIG), 2025. (CCF推荐国际学术会议, 通信作者)
（7）Ren, Hao and Zhao, Lijun, etc. Learning A Deep Second-Order Unfolding Model for Arbitrary-Scale Depth Map Super-Resolutin, ICXR, 2025. (CCF推荐国际学术会议, 通信作者)
（8）Wang, Xinlu and Zhao, Lijun, etc. WDU-Net: Wavelet-guided deep unfolding network for image compressed sensing reconstruction, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. (CCF推荐国际学术会议, 通信作者)
（9）Zhao, Lijun and Wang, Ke, etc. A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement, IEEE International Conference on Image Processing (ICIP), 2023. (CCF推荐国际学术会议, 通信作者)
（10）Zhang, Jialong and Zhao, Lijun, etc. Explainable unfolding network for joint edge-preserving depth map super-resolution, IEEE International Conference on Multimedia and Expo (ICME), 2023. (CCF推荐国际学术会议, 通信作者)
科研奖励
(1) CCF推荐国际学术会议ICIG2025（中国图像图形学会）最佳论文提名奖, Dual-Edge Consistency Constrained Unfolding Network for Depth Map Super-Resolution, 2025.
(2) 山西省科技进步二等奖，基于机器视觉的太阳能硅片缺陷在线检测技术开发与应用（2019-J-2-001)，2021.
(3) 北京图象图形学学会优秀博士论文奖，基于优化学习的图像编码与增强，2020.
(4) 北京交通大学信息科学研究所年度最佳影响力论文奖, Simultaneous Color-Depth Super-Resolution with Conditional Generative Adversarial Networks, 2020.
7. 招生信息
每年招收信号与信息处理学术型硕士、电子信息专业型硕士，欢迎报考。
8. 合作交流
面向省内外企业提供算法开发、平台升级等技术服务，欢迎企业、高校团队开展产学研联合攻关、项目合作。
