刘 旭
华山学者菁英副教授
陕西省优秀博士学位论文入选者
西安市青年人才托举计划入选者
工作单位：人工智能学院
通信地址：西安市雁塔区太白南路2号
科研邮箱：xuliu361@163.com
办公邮箱：xuliu@xidian.edu.cn
刘旭，博士，博士后，西安电子科技大学副教授、华山学者菁英副教授，IEEE Senior Member，“陕西省优秀博士学位论文”入选者；“西安市科协青年人才托举计划”入选者。人工智能学院、人工智能研究院、智能感知与图像理解教育部重点实验室成员。主持国家自然科学基金，中国博士后科学基金等多个国家级项目，及中国电科36所，商汤科技，华为，微众银行等公司关键技术项目。目前，主要从事人工智能核心算法，机器视觉，深度学习，多模态基础大模型，雷达卫星无人机图像与智能信号处理等方面的研究，相关工作发表在了TNNLS、TCYB、TGRS、TAI等领域内国际主流期刊上，并指导学生在CVPR、ICCV、ECCV、IGRASS、互联网+，等多项国内外大赛中获得冠军。
推免与考研招生情况：
焦李成院士团队刘旭副教授课题组主要致力于智能感知与图像理解、深度学习与类脑计算、进化优化与遥感解译等方向的研究，
欢迎积极上进、勤奋好学的同学联系我们。相关招生要求如下：
1，对工作与学习有较强的积极主动性；
2，具有扎实的数学基础和较强的编程能力；
3，学生本人有浓厚的研究兴趣和学术追求；
4，认真踏实，具有较强的抗干扰和抗压能力。
同时，也非常欢迎学有余力的本科生参与到课题组的科研与项目中来。
论文成果：
期刊论文(Google Scholar)
Jiao Licheng, Zhang Xin, Liu Xu, Liu Fang, Yang Shuyuan, Ma Wenping, Li Lingling, Chen Puhua, Feng Zhixi, Guo Yuwei. Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
Jiao Licheng, Huang Zhongjian, Liu Xu, Yang Yuting, Ma Mengru, Zhao Jiaxuan, You Chao, Hou Biao, Yang Shuyuan, Liu Fang. Brain-inspired Remote Sensing Interpretation: A Comprehensive Survey[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
Jiao, Licheng and Huang, Zhongjian and Lu, Xiaoqiang and Liu, Xu and Yang, Yuting and Zhao, Jiaxuan and Zhang, Jinyue and Hou, Biao and Yang, Shuyuan and Liu, Fang. Brain-inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
Gao Jie, Jiao Licheng, Liu Xu, Li Lingling, Chen Puhua, Liu Fang, Yang Shuyuan. Multiscale Dynamic Curvelet Scattering Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Liu Mengkun, Jiao Licheng, Liu Xu, Li Lingling, Liu Fang, Zhang Xiangrong, et al. Bio-Inspired Multi-scale Contourlet Attention Networks[J]. IEEE Transactions on Multimedia, 2023.
Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Puhua Chen, Shuyuan Yang, Biao Hou. Hierarchical Dynamic Graph Clustering Network[J]. IEEE Transactions on Knowledge and Data Engineering, 2023.
Yang Yuting, Jiao Licheng, Liu Xu, Liu Fang, Yang Shuyuan, Li Lingling, Chen Puhua, Li Xiufang, Huang Zhongjian. Dual wavelet attention networks for image classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 33(4): 1899-1910.
Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang, Biao Hou, MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection[J], IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024.
Liu Xu, Jiao Licheng, Li Lingling, Cheng Lin, Liu Fang, Yang Shuyuan, Hou Biao, Deep Multiview Union Learning Network for Multi-Source Image Classification[J]. IEEE Transactions on Cybernetics, 2022, 52(6),4534-4546.(ESI高被引论文)
Liu, Xu; Li, Lingling; Liu, Fang; Hou, Biao; Yang, Shuyuan; Jiao, Licheng. GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification, IEEE Transactions on Cybernetics, 2022, 52(10),10556-10569.(ESI热点、高被引论文)
刘旭, 李玲玲, 刘芳, 杨淑媛, 侯彪, 焦李成, 基于散射图卷积网络的PolSAR影像地物分类. 中国科学: 信息科学, 2022, 52(10): 1900-1914.
Liu Xu, Li Lingling, Liu Fang, Jiao Licheng. Scattering graph convolutional network-based PolSAR image classification (in Chinese). Sci Sin Inform, 2022, 52: 1900–1914,doi: 10.1360/SSI-2021-0126.
Liu, Xu, Jiao, Licheng; Li, Lingling; Tang Xu; Guo Yuwei. Deep Multi-Level Fusion Network for Multi-Source Image Pixel-Wise Classification, Knowledge-Based Systems, 2021, 221: 106921.
Liu Xu, Jiao Licheng, Tang Xu, Sun Qigong, Zhang Dan, Polarimetric Convolutional Network for PolSAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019. 57(5):3040-3054.
Liu Xu, Jiao Licheng, Zhao Jiaqi, Zhao Jin, Zhang Dan, Liu Fang, Yang Shuyuan and Tang Xu. Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1):461-473.
Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang. C-CNN: Contourlet Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(6): 2636-2649.
Jiao Licheng, Gao Jie, Liu Xu, Liu Fang, Yang Shuyuan, Hou Biao. Multi-Scale Representation Learning for Image Classification: A Survey[J]. IEEE Transactions on Artificial Intelligence, 2021.
会议论文
Liu Xu, Liu Yu, Jiao Licheng, Li Lingling, Liu Fang, Zhang Dan, SWIN RESNET: Swin Transformers For Change Detection In Remote Sensing Images [C]//IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023.
Liu Xu, Jiao Licheng, Fang Liu, Zhang Dan, Xin Hou. Feature Correlation Analysis Of Two-Branch Convolutional Networks For Multi-Source Image Classification [C]//IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020.
Liu Xu, Jiao Licheng, Zhang Dan, Liu Fang, PolSAR Image Classification Based on Polarimetric Scattering Coding and Sparse Support Matrix Machine[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019:3181-3184.
Zhang Xin, Jiao Licheng, Liu Xu, Li Xiaotong, Zhang Wenhua, Zhu Hao, Zhang Jie. A Deep Learning Filter for Visual Drone Single Object Tracking[C]//European Conference on Computer Vision(ECCV). Springer, Cham, 2020: 638-650.
Zhang, Wenhua and Jiao, Licheng and Liu, Xu and Liu, Jia. Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 330-333.
Sun, Qigong and Li, Xiufang and Li, Lingling and Liu, Xu and Liu, Fang and Jiao, Licheng. Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 3245-3248.
Wang, Zexin and Wang, Haoran and Jiao, Licheng and Liu, Xu. Semi-Supervised Pyramid Feature Co-Training Network for Lidar Data Classification[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 2471-2474.
开源的数据集：
Liu Xu, Jiao Licheng, Liu Fang, Dan Zhang, Xu Tang. PolSF: PolSAR image dataset on San Francisco[C]//International Conference on Intelligence Science. Springer, Cham, 2022: 214-219.
https://github.com/liuxuvip/PolSF, https://gitee.com/liuixnyu/PolSF, 百度飞浆下载链接
专利成果：
焦李成，刘旭，张丹，赵佳琦，赵进，尚荣华，侯彪，杨淑媛，马文萍，马晶晶。基于CNN和SMM的极化SAR图像地物分类方法[P]，中国，ZL201610186867.X (授权专利)
焦李成，刘旭，张丹，赵佳琦，赵进，尚荣华，侯彪，杨淑媛，马文萍，马晶晶。基于深度多示例学习的极化SAR图像地物分类[P]，中国，ZL201610188365.0 (授权专利)
焦李成，刘旭，张丹，唐旭，马文萍，侯彪，杨淑媛，尚荣华。一种基于稀疏散射全卷积网络的极化SAR图像分类方法[P],中国，ZL201710786485.5 (授权专利)
刘旭，焦李成，张丹，刘芳，李玲玲，杨淑媛，侯彪. 基于散射图卷积网络的极化SAR图像分类方法、介质及设备:ZL202011511666.5(授权专利)
刘旭，焦李成，张轩铭，唐旭，张丹，刘芳，杨淑媛，侯彪. 一种多源遥感图像分类方法、存储介质及计算设备:ZL202011511695.1(授权专利)
著作：
焦李成，刘旭，赵嘉旋，杨育婷，邵奕霖，何文鑫，黄钟键，徐巍，ChatGPT简明教程，西安电子科技大学出版社，202307.（获“科蕾杯”特等奖）
焦李成，杨淑媛，刘芳，刘旭，田晨曦，侯彪，马文萍，尚荣华，深度学习的理论基础与核心算法，清华大学出版社，2023.12.
科研课题：
国家自然科学基金委员会：青年科学基金项目，62006177，深度多视图联合学习网络及其在多源遥感影像地物分类中的应用，2021-01-01至2023-12-31，主持。
中国博士后科学基金会，特别资助(站中)，2022T150506，多模态遥感影像特征融合的关键技术研究，2022-07-22至2024-07-22，主持。
中国博士后科学基金会，面上项目，2019M663641，基于散射图卷积网络的极化SAR图像分类，2019-07至2021-07，主持。
中国电子科技集团公司第36研究所，HT202201050003，基于机器学习的频谱异常检测技术研究，2022-01至2022-12，主持。
中国兵器工业集团第205研究所，KYSC-2024040097，无人机视觉感知中未知目标检测识别技术协议，2024-03-2025-03，主持。
商汤科技大健康项目，基于生成网络的跨域图像生成技术，2022-07-01至2023-07-01，主持。
财政部和教育部，中央高校基本科研业务费，XJS201903，基于超图卷积网络的极化SAR图像分类，2020-01至2020-12，主持。
财政部和教育部，中央高校基本科研业务费，JBF201905，复杂遥感影像/视频智能解译系统，2020-01至2021-12，参与。
学术兼职：
审稿人
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Cybernetics
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Geoscience and Remote Sensing Letters
ISPRS Journal of Photogrammetry and Remote Sensing
Information Fusion
Pattern Recognition