招收硕士研究生

081203-计算机应用技术

计算机视觉，图像理解，表型解译

2009-09--2014-07   中国科学院自动化研究所   博士，工学博士
2005-09--2009-07   北京科技大学   本科，工学学士

博士研究生

工学博士学位

   

2019-10~现在, 中国科学院空间应用工程与技术中心, 副研究员
2014-07~2019-10,中国科学院空间应用工程与技术中心, 助理研究员

   

[1] 许乐乐, 李叶, 徐金中, 郭丽丽. 一种基于语义引导的由粗到细的遥感图像分割方法及系统. CN115810020A, 2023-03-17.
[2] 李叶, 许乐乐, 徐金中, 郭丽丽, 马忠松. 图像目标的识别方法、装置、电子设备及计算机存储介质. CN: CN114155417A, 2022-03-08.
[3] 李叶, 许乐乐, 徐金中, 郭丽丽. 跨中心图像联合学习方法、系统、存储介质及电子设备. CN: CN114154645A, 2022-03-08.
[4] 许乐乐, 李叶, 徐金中, 郭丽丽. 基于图神经网络的光学遥感图像实例分割方法及装置. CN: CN113554656A, 2021-10-26.
[5] 许乐乐, 李叶, 徐金中, 郭丽丽. 基于多特征增强的光学遥感图像分割方法及装置. CN: CN113554655A, 2021-10-26.
[6] 李叶, 王先锋, 许乐乐, 郭丽丽, 阎镇, 饶骏, 金山. 一种基于多粒度网络融合的光学遥感图像分割方法和装置. CN: CN109523569B, 2020-01-31.
[7] 李叶, 许乐乐, 郭丽丽, 王先锋, 阎镇, 饶骏, 金山. 一种植物图像分割及叶片骨架提取方法及系统. CN: CN109544554B, 2020-01-31.
[8] 许乐乐, 李叶, 郭丽丽, 阎镇, 饶骏, 金山. 图像的实例分割方法及装置. CN: CN109635812A, 2019-04-16.
[9] 李叶, 许乐乐, 郭丽丽, 王先锋, 阎镇, 饶骏, 金山. 一种识别光学遥感图像道路的Y型神经网络系统及方法. CN: CN109359598A, 2019-02-19.
[10] Wang, Feiyue, Li, Ye. Vehicle detection method based on hybrid image template. US: US10157320(B2), 2018-12-18.
[11] 吴鹏, 王红飞, 李叶, 郭丽丽. 一种单星多载荷复杂约束任务规划方法和系统. CN: CN108304958A, 2018-07-20.
[12] 李叶, 段江永, 樊帅, 郭丽丽, 阎镇, 饶骏, 许乐乐. 一种基于多分支网络融合模型的光学遥感图像分类方法. CN: CN107122796A, 2017-09-01.
[13] 王飞跃, 李叶. 一种基于多尺度模型的车辆检测方法. CN: CN103473566B, 2016-09-14.
[14] 王飞跃, 李叶. 一种基于部分模型的车辆检测方法. CN: CN103473567B, 2016-09-14.
[15] 王飞跃, 李叶. 一种基于混合图像模板的车辆检测方法. CN: CN103310469B, 2016-05-11.
[16] 王飞跃, 田滨, 李叶, 胡斌, 王坤峰, 熊刚, 朱凤华. 一种基于临场感的停车场自动停车实现方法. CN: CN103465906B, 2016-01-20.
[17] 李泊, 田滨, 李叶, 王飞跃. 基于字符组合的车牌定位和识别方法. CN: CN102915433B, 2015-06-10.
[18] 田滨, 李叶, 李泊, 孔庆杰, 王飞跃. 一种基于车辆部位特征的车辆检测与跟踪方法. CN: CN102867416B, 2014-08-06.
[19] 李叶, 李泊, 田滨, 王飞跃. 基于高清视频检测的电子警察系统. CN: CN202771617U, 2013-03-06.

[1] Xu, Rongtao, Li, Ye, Wang, Changwei, Xu, Shibiao, Meng, Weiliang, Zhang, Xiaopeng. Instance segmentation of biological images using graph convolutional network. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE[J]. 2022, 110: http://dx.doi.org/10.1016/j.engappai.2022.104739.
[2] Yuan, MingKang, Li, Ye, Sun, JiaXi, Shi, BaoKun, Xu, JinZhong, Xu, LeLe, Wang, YiSu. Distributed Learning based on Asynchronized Discriminator GAN for remote sensing image segmentation. International Conference on Communication and Information Processingnull. 2022, [3] Xu, Lele, Li, Ye, Xu, Jinzhong, Guo, Lili. Gated Spatial Memory and Centroid-Aware Network for Building Instance Extraction. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 60(4402214): 1-14, http://dx.doi.org/10.1109/TGRS.2021.3073164.
[4] Xu, Lele, Li, Ye, Xu, Jinzhong, Guo, Lili. Two-level attention and score consistency network for plant segmentation. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2020, 170: http://dx.doi.org/10.1016/j.compag.2020.105281.
[5] Li, Ye, Xu, Lele, Rao, Jun, Guo, Lili, Yan, Zhen, Jin, Shan. A Y-Net deep learning method for road segmentation using high-resolution visible remote sensing images. REMOTE SENSING LETTERS[J]. 2019, 10(4): 381-390, https://www.webofscience.com/wos/woscc/full-record/WOS:000454764400001.
[6] Li, Ye, Guo, Lili, Rao, Jun, Xu, Lele, Jin, Shan. Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2019, 16(4): 613-617, https://www.webofscience.com/wos/woscc/full-record/WOS:000462443300024.
[7] Zheng, He, Wu, Jiahong, Liang, Rui, Li, Ye, Li, Xuzhi. Multi-task learning for captioning images with novel words. IET COMPUTER VISION[J]. 2019, 13(3): 294-301, [8] Wang, Xianfeng, Li, Ye, Yan, Zhen, Guo, Lili, Jin, Shan. Space Plant Image Segmentation Based on Generative Adversarial Network. Tenth International Conference on Graphics and Image Processing (ICGIP 2018)null. 2019, 110692G-1, http://dx.doi.org/10.1117/12.2524262.
[9] Li, Ye, Guo, Lili, Xu, Lele, Wang, Xianfeng, Jin, Shan. Road Recognition Based on Multi-scale Convolutional Network with Multi-level Feature Fusion. Tenth International Conference on Graphics and Image Processing (ICGIP 2018)null. 2019, 110693F-1, http://dx.doi.org/10.1117/12.2524175.
[10] Fan, Shuai, Li, Ye, Yan, Zhen, Guo, Lili, Wang, Xianfeng. Vegetation Recognition based on Deep Learning with Feature Fusion. Proceedings of the International Conference on Advances in Image Processingnull. 2017, [11] Li, Ye, Er, Meng Joo, Shen, Dayong. A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2015, 16(4): 2284-2289, http://ir.ia.ac.cn/handle/173211/8900.
[12] Li, Ye, Wang, FeiYue. Vehicle detection based on And-Or Graph and Hybrid Image Templates for complex urban traffic conditions. Transportation Research Part C: Emerging Technologies[J]. 2015, 51: 19-28, http://dx.doi.org/10.1016/j.trc.2014.10.009.
[13] Li, Ye, Li, Bo, Tian, Bin, Zhu, Fenghua, Xiong, Gang, Wang, Kunfeng. Vehicle Detection based on the Deformable Hybrid Image Template. 2013 IEEE international conference on vehicular electronics and safety: ICVES 2013, Dongguan, China, 28-30 July 2013null. 2013, 114-118, http://ir.ia.ac.cn/handle/173211/19401.
[14] Li, Ye, Wang, FeiYue, Li, Bo, Tian, Bin, Zhu, Fenghua, Xiong, Gang, Wang, Kunfeng. A Multi-scale Model Integrating Multiple Features for Vehicle Detection. 2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC)null. 2013, 399-403, [15] Li, Ye, Li, Bo, Tian, Bin, Yao, Qingming. Vehicle Detection Based on the AND-OR Graph for Congested Traffic Conditions. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS[J]. 2013, 14(2): 984-993, https://www.webofscience.com/wos/woscc/full-record/WOS:000319828800045.
[16] Li, Ye, Tian, Bin, Li, Bo, Xiong, Gang, Zhu, Fenghua, Wang, Kunfeng. Vehicle Detection with a Part-based Model for Complex Traffic Conditions. 2013 IEEE international conference on vehicular electronics and safety: ICVES 2013, Dongguan, China, 28-30 July 2013null. 2013, 110-113, http://ir.ia.ac.cn/handle/173211/19400.
[17] Li, Ye, Yao, Qingming. Rear Lamp based Vehicle Detection and Tracking for Complex Traffic Conditions. IEEE International Conference on Networking, Sensing and Controlnull. 2012, [18] Li, Ye, Yao, Qingming, Tian, Bin, Xu, Wencong. Fast double-parallel image processing based on FPGA. IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES)null. 2011, 97-102, http://ir.ia.ac.cn/handle/173211/5000.

   

（ 1 ） 基于多尺度卷积网络和与或图的高清光学遥感图像中城市场景理解方法研究, 负责人, 国家任务, 2021-01--2023-12
（ 2 ） 基于分层与或图模型的光学遥感图像场景理解方法研究, 负责人, 国家任务, 2016-01--2018-12
（ 3 ） 2019青促会创新人才项目, 负责人, 中国科学院计划, 2019-01--2022-12
（ 4 ） 基于分布式GAN网络的智能联合学习平台关键技术研究, 负责人, 中国科学院计划, 2021-01--2022-12
（ 5 ） 空间站任务运控管理系统研制, 参与, 国家任务, 2015-07--2023-12
（ 6 ） 基于双深神经网络的图像语义解译方法研究, 负责人, 研究所自主部署, 2017-01--2017-12