职 称：副教授，硕导
电子邮件：leejun@tyust.edu.cn
学术荣誉
必赢bwin线路检测中心高层次引进人才，信息与通信学科一级学术骨干，中国图形图像学会会员，顶级期刊审稿人，审稿期刊包括：Expert Systems with Applications, Pattern Recognition, IEEE Journal of Selected Topics in Signal Processing, IEEE Trans on Image Processing, IEEE Trans on Broadcasting, IEEE Trans on Multimedia, IEEE Trans on Wireless Communication, IEEE Trans on Industrial Informatics等。
教育背景
2015.09--2019.07, 北京交通大学信号与信息处理专业，博士
2016.10--2017.11, 加拿大西蒙弗雷泽大学，联合培养博士
2012.09--2015.07, 必赢bwin线路检测中心模式识别与智能系统专业，硕士
工作履历
2022.12--至今, 必赢bwin线路检测中心电子信息工程学院，副教授
2019.6--2022.12, 必赢bwin线路检测中心电子信息工程学院，讲师
教学工作
1）任教课程
本科生课程：人工智能、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。
科研工作
1）研究领域
目标检测、图像分割、多模态图像融合、景深预测和三维场景重建、点云压缩和增强、多描述图像和视频编码、低质图像压缩和增强、压缩感知等。
2）承担项目
主持国家自然科学基金青年项目1项、山西省基础研究项目1项、必赢bwin线路检测中心科研项目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。
3）代表性成果
论文：
（1）Wang, Ke and Zhao, Lijun* and Zhang, Jinjing and Zhang, Jialong and Wang, Anhong and Bai, Huihui, Joint depth map super-resolution method via deep hybrid-cross guidance filter, Pattern Recognition, 2023. (SCI 1区Top期刊, Impact Factor=8.518, CiteScore=15.5)
（2）Zhao, Lijun* and Wang, Ke and Zhang, Jinjing and Wang, Anhong and Bai, Huihui，Learning deep texture-structure decomposition for low-light image restoration and enhancement, Neurocomputing, 2023. (SCI 2区Top期刊, Impact Factor=5.779, CiteScore=10.3)
（3）Zhang, Jinjing and Zhao, Lijun and Zeng, Jianchao and Qin, Pinle and Wang, Yanbo and Yu, Xiaoqing, Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss, Expert Systems with Applications, 2022. (SCI 1区Top期刊, Impact Factor=8.665, CiteScore=12.2)
（4）Zhao, Lijun and Bai, Huihui and Wang, Anhong and Zhao, Yao，Multiple description convolutional neural networks for image compression, IEEE Transactions on Circuits and Systems for Video Technology, 2019. (SCI 1区Top期刊, Impact Factor=5.859, CiteScore=10.1)
（5）Zhao, Lijun and Bai, Huihui and Liang, Jie and Zeng, Bing and Wang, Anhong and Zhao, Yao, Simultaneous color-depth super-resolution with conditional generative adversarial networks, Pattern Recognition, 2019. (SCI 1区Top期刊, Impact Factor=8.518, CiteScore=15.5)
（6）Zhao, Lijun and Bai, Huihui and Liang, Jie and Wang, Anhong and Zeng, Bing and Zhao, Yao, Local activity-driven structural-preserving filtering for noise removal and image smoothing, Signal Processing, 2019. (SCI 2区期刊, Impact Factor=4.729, CiteScore=8.9)
（7）Zhao, Lijun and Bai, Huihui and Wang, Anhong and Zhao, Yao and Zeng, Bing, Two-stage filtering of compressed depth images with Markov random field, Signal Processing: Image Communication, 2017. (SCI 2区期刊, Impact Factor=3.453, CiteScore=6.7)
获奖：
(1) 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)，排名3, 2019.
(2) 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.
