张立保
职称：教授，博士生导师
邮箱： libaozhang@bnu.edu.cn；libaozhang@163.com
学习经历
1995.9-1999.6 吉林大学，电子信息工程专业，获学士学位
1999.9-2002.4 吉林大学，信号与信息处理专业，获硕士学位
2002.9-2005.6 吉林大学，通信与信息系统专业，获博士学位
工作经历
2019.9-现在 北京师范大学人工智能学院，教授
2016.8-2019.8 北京师范大学信息科学与技术学院，教授
2009.8-2016.7 北京师范大学信息科学与技术学院，副教授
2005.8-2009.7 北京师范大学信息科学与技术学院，讲师
社会兼职
九三学社北京市委科技专门委员会委员，九三学社北京市委数字经济与人工智能专门委员会委员。
研究领域
计算机视觉、遥感影像处理、目标识别、多模态分析、图像恢复与增强、图像压缩与编码、视频目标追踪。
科研项目
主持多项国家自然科学基金与北京市自然科学基金项目，其中，国家级项目包括：
演进学习框架下协同感知显著性引导的弱标注遥感影像语义分割方法研究，国家自然科学基金面上项目，主持；
基于共性视觉特征与反馈机制的SAR图像目标检测方法研究，国家自然科学基金面上项目，主持；
基于联合显著性分析的遥感影像感兴趣区域提取关键技术研究，国家自然科学基金面上项目，主持；
基于ADL-IWT与人眼视觉关注模型的高空间分辨率遥感图像分级压缩，国家自然科学基金面上项目，主持；
基于不同兴趣度的任意形状多感兴趣区图像编码方法研究，国家自然科学基金青年项目，主持。
获奖情况
2024年荣获北京市本科毕业论文优秀指导教师称号
2023年荣获北京师范大学优秀博士论文指导教师称号
2023年荣获北京师范大学十佳辅导员荣誉称号
2021年荣获北京市本科毕业论文优秀指导教师称号
2014年荣获北京师范大学优秀研究生教学成果三等奖
2012年荣获北京师范大学第十一届励耘优秀青年教师奖
代表论著
Ning Ni, Libao Zhang*. Hazy low-quality satellite video restoration via learning optimal joint degradation patterns and continuous-scale super-resolution reconstruction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, USA, June, 2025, 12690-12699. （CCF-A类会议）
Ning Ni, Libao Zhang*. SLVR: Super-light visual reconstruction via blueprint controllable convolutions and exploring feature diversity representation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, USA, June, 2025, 400-410.（CCF-A类会议）
Shan Wang, Weisi Lin, Yun Liu, and Libao Zhang*. 2025. CLIP-HNet: Hybrid Network with Cross-Modal Guidance for Self-Supervised Remote Sensing Dehazing. Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025), Dublin, Ireland, October, 2025. DOI: 10.1145/3746027.3755818.（CCF-A类会议）
Wanting Zhang, Jingxuan Zhang, Libao Zhang*. Saliency-Guided Adaptive Random Diffusion for Remote Sensing Images Restoration with Cloud and Haze. Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025), Dublin, Ireland, October, 2025. DOI: 10.1145/3746027.3755584.（CCF-A类会议）
Yanan Liu, Wanning Zhu, Libao Zhang*. Object segmentation based on pseudo supervision relearning under extremely weak annotations for remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2025, vol. 63, 5605016: 1-16.（TOP期刊）
Yanan Liu, Libao Zhang*. Confidence-guided joint complementary learning for weakly annotated remote sensing object segmentation. IEEE Transactions on Geoscience and Remote Sensing, 2025, vol. 63, 5610516: 1-16.（TOP期刊）
Ning Ni, Libao Zhang*. Deformable convolution alignment and dynamic scale-aware network for continuous-scale satellite video super-resolution. IEEE Transactions on Geoscience and Remote Sensing, 2024, vol. 62, 5610017: 1-17.（TOP期刊）
Shan Wang, Libao Zhang*. A unified framework for double-degradation remote sensing image restoration through saliency-guided interaction learning. IEEE Transactions on Geoscience and Remote Sensing, 2024, vol. 62, 5607719: 1-19.（TOP期刊）
Hanlin Wu, Ning Ni, Shan Wang, Libao Zhang*. Conditional stochastic normalizing flows for blind super-resolution of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2023, vol. 61, 5617916: 1-16.（TOP期刊）
Hanlin Wu, Ning Ni, Libao Zhang*. Learning dynamic scale awareness and global implicit functions for continuous-scale super-resolution of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2023, vol. 61, 5602315: 1-15.（TOP期刊）
Hanlin Wu, Ning Ni, Libao Zhang*. Lightweight stepless super-resolution of remote sensing images via saliency-aware dynamic routing strategy. IEEE Transactions on Geoscience and Remote Sensing, 2023, vol. 61, 5601717: 1-17.（TOP期刊）
Yanan Liu, Libao Zhang*. Weakly supervised region of interest extraction based on uncertainty-aware self-refinement learning for remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5628416: 1-16.（TOP期刊）
Libao Zhang*, Shan Wang. Dense haze removal based on dynamic collaborative inference learning for remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5631016: 1-16.（TOP期刊）
Libao Zhang*, Hanlin Wu. Cosaliency detection and region-of-interest extraction via manifold ranking and MRF in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5604417: 1-17.（TOP期刊）
Hanlin Wu, Libao Zhang*, Jie Ma. Remote sensing image super-resolution via saliency-guided feedback GANs. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5600316: 1-16.（TOP期刊）
Libao Zhang*, Jie Ma*. Salient object detection based on progressively supervised learning for remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9682-9696.（TOP期刊）
Libao Zhang*, Jue Zhang*, Jie Ma, Xiuping Jia. SC-PNN: Saliency cascade convolutional neural network for pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9697-9715.（TOP期刊）
Jie Ma, Libao Zhang*, Yang Sun. ROI extraction based on multiview learning and attention mechanism for unbalanced remote sensing data set. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(9): 6210-6223.（TOP期刊）
Libao Zhang*, Donghui Chen, Jie Ma, Jue Zhang. Remote-sensing image superresolution based on visual saliency analysis and unequal reconstruction networks. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(6): 4099-4115.（TOP期刊）
Libao Zhang*, Aoxue Li, Zhongjun Zhang, Kaina Yang. Global and local saliency analysis for the extraction of residential areas in high-spatial-resolution remote sensing image. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 3750-3763.（TOP期刊）
