李海峰_教师主页

李海峰

时间:2024-04-15 21:01 来源: 作者: 点击:次

个人简介 I. 中南大学地球科学与信息物理学院教授，博士生导师，地理信息系主任，GIS创新人物，龙城英才计划，中南大学321人才。 II. 2011年香港理工大学高级研究助理，2014年美国伊利诺伊大学香槟分校(UIUC)访问学者。 III. 主持国家自然基金项目4项，国家重点研发项目子课题2项，省部级科研项目10余项。 IV. 发表高水平SCI论文120+余篇，顶级期刊: Nature Food, IEEE Transactions on Neural Networks and Learning Systems, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transaction on Intelligent Transportation System, Environmental Research Letters, IEEE Transaction on System Man Cybernetics: System, Remote Sensing of Environment。 V. 入选全球各学科前2%科学家。ESI1‰热点论文4篇，ESI1%高被引论文15篇。Google引用情况：近三年引用6000+次，最高单篇文章引用为1990+次，2022年单年总引用1812次，2023年单年总引用2389次。 VI. 合著专著4部，申请发明专利25项，国际专利5项 VII. 担任宁夏自治区特聘专家，中国测绘学会第十二届理事会大数据与人工智能工作委员会委员，中国指挥与控制学会智能指挥与控制系统工程专业委员会委员。 VIII. 担任Remote Sensing等SCI期刊编委，Frontiers in Environmental Science客座主编，Remote Sensing客座主编，中国测绘学会第十二届理事会大数据与人工智能工作委员会委员，中国指挥与控制学会智能指挥与控制系统工程专业委员会委员。担任IEEE TGRS、ISPRS Journal、IEEE TITS、IEEE TNNLS、RSE等20多个国际顶尖期刊审稿人。 Google scholar 主页：https://scholar.google.com/citations?user=51p_SJAAAAAJ Github: https://github.com/lehaifeng/T-GCN Github: https://github.com/lehaifengGithub: https://github.com/GeoX-Lab/ 联系方式： Email: lihaifeng@csu.edu.cn 小组信息：我们小组：GeoXLab = GeoSpatial + X 小组公众号：我们的使命: 从第一性原理出发，探索时空通用智能的可能性，设计具有记忆能力、自学习、自演化能力的AI算法，为地理大数据分析和预测、遥感大数据解译和理解提供基础、方法和工具。研究主题： (1) 多模态时空通用大模型 (2) 多模态时空信息记忆模型 (3) 语言-视觉遥感影像理解通用大模型 (4) 多模态（SAR、光学、红外）智能的对抗攻击与反对抗攻击 (5) 时空因果模型招生信息：课题组研究兼顾前沿探索和行业应用，并与国外顶尖大学建立长期联合培养机制（如：UIUC，Geotech等），欢迎数学功底扎实，动手能力强，对未知世界充满好奇的同学加入我们，一起探索奇妙的机器智能世界。 (1) 每年招收有自驱力的本科生实习生3-4名，硕士研究生4-5名，博士生研究生1-2人。 (2) 寻找优秀的博士后一起工作，享受国家和中南大学16-30万基础年薪，课题组可根据业绩再配套。合作单位：研究机构：美国UIUC，美国Geotech，美国威斯康星大学麦迪逊分校，美国明尼苏达大学双城分校，荷兰ITC，北京大学等知名公司：字节跳动，美团，华为，腾讯，航天宏图(智慧地球大讲堂) 均有机会前往联培和实习教授课程：本科生： (1) 思维类：批判性思维，科学哲学导论，新生课（科学、艺术与审美） (2) 基础类：工科数学基础：数学、工程与艺术，地理智能与机器学习，地理大数据与深度学习 (3) 专业类：计算机图形学，空间分析，空间统计研究生： (1) 思维类：测绘科学前沿：人工智能历史、现状与未来 (2) 专业类：地理大数据与机器学习代表性专著： (1). 李海峰，朱佳玮. 时空大数据的“形状”:几何和拓扑的视角. 科学出版社. 2022. 国家科技出版基金资助 (2). 面向任务的遥感信息聚焦服务. 李德仁等主编. 2010. 科学出版社. P:197 (3). 子流形曲率模长的间隙现象. 刘进，李海峰，刘煜等著. 2010.中南大学出版社. P270 (4). 刘进，刘煜，李海峰，伍国华，王建江，刘刚，极小子流形及其推广[M]，国防科技大学出版社，2014.04 (5). 刘煜，刘进，李海峰，张茂军，稀疏表示基础理论和典型应用[M]，国防科技大学出版社，2014.10 代表性教材： (1). 连续最优化高级教程(第一卷:原理与模型) (教材)，2016，国防科技大学出版社 (2). 连续最优化高级教程(第三卷应用与实践) (教材)，2017，国防科技大学出版社 (3). 连续最优化高级教程(第四卷习题与解答) (教材)，2018，国防科技大学出版社 (4). 经典博弈论高级教程(第一卷原理与模型) (教材)，2017，国防科技大学出版社 (5). 经典博弈论高级教程(第四卷习题与解答) (教材)，2018，国防科技大学出版社科研奖励： (1). 鑫恒奖励金奖，2022 (2). 航天信息智能伴随支援系统关键技术及应用，河南省科学技术进步奖一等奖，2023 (3). 国土资源典型要素变化遥感智能监测关键技术，高分专项卫星应用优秀成果二等奖，2023 (4). 基于多源地理大数据的社会感知理论与方法，北京市自然科学二等奖，2022 (5). 国土资源典型要素变化遥感智能监测关键技术及应用，地理信息科学技术特等奖，2020 (6). 应急测绘智能服务关键技术与重大应用，测绘科技进步一等奖，2020年 (7). 天空地协同的城市违法建筑智能检测关键技术及应用，地理信息科学技术一等奖，2019 (8). Lidar在公路中的应用，地理信息科学技术二等奖，2012年主要课题与项目：主持/主要负责国家级项目5项，主持省部级项目4项。 [1] 国家自然科学基金：空间因果原则及其四重根. 42271481. 2023/01-2026/12，在研，主持 [2] 国家自然科学基金：非欧几何视角下的地理大数据统一表示框架与方法，2019/01-2022/12，在研，主持 [3] 湖南省自然科学基金. 面向地理空间认知的因果学习理论与方法. 2022. 2022JJ30698，在研，主持. [4] 国家重点研发计划：区域遥感协同监测应急服务体系，2016YFB05026，2016/07-201 9/07，结题，参加(子题负责) [5] 国家自然科学基金面上项目，41571397，动态不确定环境下空间信息服务的深度组合方法，2016/01-2019/12，结题，主持 [6] 预研基金:基于自动机器学习的遥感影像智能理解平台, 2019/11-2021/06，主持，在研 [7] 企业委托项目：面向不确定遥感目标识别的空间通用智能关键技术研发. 2020/10-2022/06，主持，在研 [8] 国家自然科学基金-广东联合基金：超级计算科学应用研究专项，2016/06-2018/08，10万时，结题，主持 [9] 湖南省自然科学基金，2016JJ3144，面向城市区域功能微观结构的时空特征空间分析方法，2016/08-2018/08，结题，主持 [10] 教育部留学回国人员科研启动基金，50-20150618，面向城市交通流的时空特征分析理论与方法，2015/04-2017/04，结题，主持 [11] 国家博士后基金特别资助，2013T60779，非确定环境下的空间信息服务组合，2013/07-2014/12，结题，主持 [12] 国家博士后基金面上资助，2012M511411，QoS感知的空间信息服务组合：多任务并发下的合作与竞争机制研究，2012/07-2013/12，结题，主持 [13] 国家自然科学基金青年项目，41001220，多任务并发的空间信息服务优化组合方法，2011/01-2013/12，结题，主持 [14] 中南大学531人才计划，2013-2018年，地理信息科学 [15] 2011计划：轨道交通安全协同创新中心研究人员，2017-2020行车环境与安全状态管控 [16] 国家自然科学基金：复杂环境下基于视频序列影像的交通事件自动识别方法，2012-2015，第二负责人。 [17] 国家自然科学基金：公路真三维设计：基于体感交互和三维空间曲线的方法，2013-2016，第二负责人。 [18] 国家自然科学基金：线路-结构物-环境耦合约束下的铁路点线协同优化理论与方法，2014-2017，第二负责人。 [19] 重点863项目：典型地质灾害遥感监测与应急关键技术与应用，子课题：空天地一体化协同观测与应急快速处理技术，2013-2015，研究骨干。代表性论文 (* 通讯作者) Selected Papers [1] Haifeng Li, Jun Cao, Jiawei Zhu*, Qinyao Luo, Silu He, Xuying Wang. Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations. IEEE Transactions on Neural Networks and Learning Systems. 2023. DOI: 10.1109/TNNLS.2023.3248871. (IF: 14.255) [2] Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li*. Overcome Anterograde Forgetting with Cycle Memory Networks. IEEE Transactions on Neural Networks and Learning Systems. 2023. DOI: 10.1109/TNNLS.2023.3294495. (IF: 14.255) [3] Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, and Haifeng Li*. Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. IEEE Transactions on Neural Networks and Learning Systems. 2021. 10.1109/TNNLS.2021.3056201. (IF: 14.255) [4] Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, Haifeng Li*. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction. IEEE Transaction on Intelligent Transportation Systems. 2020, 21(9):3848- 3858 (IF: 9.551, ESI 0.1%热点论文, ESI 1%高被引论文) [5] Qing Zhu, Cheng Liao, Han Hu, Xiaoming Mei, Haifeng Li*. MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery. IEEE Transactions on Geoscience and Remote Sensing. 2020. DOI: 10.1109/TGRS.2020.3026051 (IF: 8.125, ESI 0.1%热点论文, ESI 1%高被引论文) [6] Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Yu Liu, Haifeng Li*. DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020. DOI: 10.1109/JSTARS.2020.3037893. (IF: 4.715, ESI 0.1%热点论文, ESI 1%高被引论文) [7] Jialu Xu, Jing Gao, Henrique Vinicius de Holanda, Luis F. Rodríguez, José Vicente Caixeta-Filho, Renhai Zhong, Hao Jiang, Haifeng Li, Zhenhong Du, Xuhui Wang, Shaowen Wang, K. C. Ting, Yibin Ying & Tao Lin*. Double cropping and cropland expansion boost grain production in Brazil. Nature Food. 2021, 2, 264–273 10.1038/s43016-021-00255-3. (Cover Paper) [8] Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao. Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2022. DOI:10.1109/TGRS.2021.3063287 (IF: 8.125, ESI 1%高被引论文) [9] Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao*. SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for HighResolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 2020:1-5. DOI: 10.1109/LGRS.2020.2988294 (IF: 5.343, ESI 1%高被引论文) [10] Haifeng Li, Zengqi Cui, Zhiqiang Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao*. RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification. IEEE Transactions on Geoscience and Remote Sensing. 2020. DOI: 10.1109/TGRS.2020.3027387 (IF: 8.125, ESI 1%高被引论文) [11] Wu, G H*., Shen, X., Li, Haifeng, Chen, H K., Lin, A P., P.N. Suganthan. 2018. Ensemble of differential evolution variants. Information Sciences. 172-186. (IF: 8.233, ESI 0.1%热点论文, ESI 1%高被引论文). [12] Zhu, Jiawei; Han, Xing; Deng, Hanhan; Tao, Chao; Zhao, Ling; Tao, Lin; Li, Haifeng*. KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 2021. doi:10.109/TITS.2021.3136287 (IF: 9.551) [13] Zhenqi Cui, Wang Yang, Li Chen, Haifeng Li*. MKN: Meta-kernel networks for few shot remote sensing scene classification. IEEE Transactions on Geoscience and Remote Sensing. 2022. Doi:10.1109/TGRS.2022.3153679. (IF: 8.125, ESI 1%高被引论文) [14] Jie Chen, Haozhe Huang, Chao Tao, Jian Peng, Jiawei Zhu, Li Chen, Haifeng Li*. Contextual Information-Preserved Architecture Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2021. DOI:10.1109/TGRS.2021.3063287 (IF: 8.125, ESI 1%高被引论文) [15] Jiandong Bai, Jiawei Zhu, Yujiao Song, Ling Zhao, Zhixiang Hou, Ronghua Du, Haifeng Li. A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting. ISPRS International Journal of Geo-Information. 2021, 10(7): 485 DOI10.3390/ijgi10070485. (IF: 3.099, ESI 1%高被引论文) Others [16] Jiahao Cui, Wang Guo, Run Shao, Tiandong Shi, Haifeng Li*. Physics-oriented adversarial attacks on SAR image target recognition. Physics-oriented adversarial attacks on SAR image target recognition. Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023. [17] Chao Tao, Ji Qi, Mingning Guo, Qing Zhu, Haifeng Li*. Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works. IEEE Transactions on Geoscience and Remote Sensing. 2023. DOI: 10.1109/TGRS.2023.3276853. (IF: 8.125) [18] Dingqi Ye, Jian Peng*, Haifeng Li, Lorenzo Bruzzone. Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022. DOI: 10.1109/TGRS.2022.3190392. (IF: 8.125) [19] Haifeng Li, Wenxuan Jing, Guo Wei, Kai Wu, Mingming Su, Lu Liu, Hao Wu, Penglong Li, Ji Qi. RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation. Remote Sensing. 15 (13), 3427 [20] Chao Tao, Ji Qi, Guo Zhang, Qing Zhu, Weipeng Lu, Haifeng Li*. TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2023.3271312. (IF: 4.715) [21] Chao Tao, Rong Xiao, YuZe Wang, Ji Qi, Haifeng Li*. A General Transitive Transfer Learning Framework for Cross-optical Sensor Remote Sensing Image Scene Understanding. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2023.3269852. (IF: 4.715) [22] Silu He, Qinyao Luo, Ronghua Du, Ling Zhao, Guangjun He, Han Fu, Haifeng Li*. STGC-GNNs: A GNN-based traffic prediction framework with a spatial–temporal Granger causality graph. Physica A: Statistical Mechanics and its Applications. 2023. DOI: 10.1016/j.physa.2023.128913. (IF: 3.778) [23] Jie Chen, Peien He, Jingru Zhu, Ya Guo, Geng Sun, Min Deng. Haifeng Li*. Memory-contrastive Unsupervised Domain Adaptation for Building Extraction of High-resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 2023. DOI: 10.1109/TGRS.2023.3262576. (IF: 8.125) [24] Yujia Chen, Guo Zhang, Hao Cui,∗, Xue Li, Shasha Hou, Jinhao Maa, Zhijiang Li, Haifeng Li, Huabin Wang. A novel weakly supervised semantic segmentation framework to improve the resolution of land cover product. ISPRS Journal of Photogrammetry and Remote Sensing. 2023, 196:73–92. (IF: 11.774) [25] Zhaoyang Zhang, Xuying Wang, Xiaoming Mei, Chao Tao, Haifeng Li*. FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image. IEEE Geoscience and Remote Sensing Letters. 2022. DOI: 10.1109/LGRS.2022.3222836. (IF: 5.343) [26] Hao Wang, Chao Tao, Ji Qi, Rong Xiao, Haifeng Li. Avoiding Negative Transfer for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2022. DOI: 10.1109/TGRS.2022.3190392. (IF: 8.125) [27] Xue Li, Guo Zhang, Hao Cui, Shasha Hou, Yujia Chen, Zhijiang Li, Haifeng Li, Huabin Wang. Progressive fusion learning: A multimodal joint segmentation framework for building extraction from optical and SAR images. ISPRS Journal of Photogrammetry and Remote Sensing. 2023-01 | Journal article. DOI: 10.1016/j.isprsjprs.2022.11.015. (IF: 11.774) [28] Mingming Lu, Yongchuan Xu, Haifeng Li*. Vehicle Re-Identification Based on UAV Viewpoint: Dataset and Method. Remote Sensing. 2022, 14, 4603. https://doi.org/10.3390/rs14184603. (IF: 5.349) [29] Xuying Wang, Jiawei Zhu*, Zhengliang Yan, Zhaoyang Zhang, Yunsheng Zhang, Yansheng Cheng, Haifeng Li. LaST: Label-free Self-distillation Contrastive Learning with Transformer Architecture for Remote Sensing Image Scene Classification. IEEE Geoscience and Remote Sensing Letters. 2022. DOI: 10.1109/LGRS.2022.3185088. (IF: 5.343) [30] Renhai Zhong, Yue Zhu, Xuhui Wang, Haifeng Li, Bin Wang, Fengqi You, Luis F. Rodríguez, Jingfeng Huang, K. C. Ting, Yibin Ying, Tao Lin. Detect and attribute the extreme maize yield losses based on Spatio-temporal deep learning. Fundamental Research. 2022. DOI: 10.1016/j.fmre.2022.05.006. [31] Hao Cui, Zhang Guo, Ji Qi, Haifeng Li, Chao Tao, Xue Li, Shasha Hou, Deren Li. MDANet: Unsupervised, Mixed-domain Adaptation for Semantic Segmentation of Remote sensing Images. IEEE Geoscience and Remote Sensing Letters. 2022. DOI: 10.1109/LGRS.2022.3213984. (IF: 5.343) [32] Zeyi Li, Haitao Zhang*, Yihang Huang and Haifeng Li. A Robust Strategy for Large-Size Optical and SAR Image Registration. Remote Sensing. 2022, 14(13), 3012; https://doi.org/10.3390/rs14133012 [33] Mingming Lu, Zhixiang Xiao, Haifeng Li*, Ya Zhang, Neal N.Xiong. Feature Pyramid-based Graph Convolutional Neural network for Graph Classification. Journal of Systems Architecture. 2022. 102562. DOI: 10.1016/j.sysarc.2022.102562. (IF: 5.836) [34] Hang Ruan, Jian Peng, Ye Chen, Silu He, Zhenshi Zhang, Haifeng Li. A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation. Symmetry 2022, 14(10), doi.org/10.3390/sym14102100 [35] Zhao Jin, Yinjie Lei, Naveed Akhtar, Haifeng Li, Munawar Hayat. Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds. CVPR 2022. [36] Haifeng Li, Ye Chen, Zhenshi Zhang, Jian Peng*. RAISE: Rank-Aware Incremental Learning for Remote Sensing Object Detection. Symmetry. 2022, 14(5), 1020; DOI:10.3390/sym14051020. [37] Haozhe Huang, Zhongfeng Mou, Yunying Li, Qiujun Li, Jie Chen, and Haifeng Li*. Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 2022. Doi: 10.1109/LGRS.2022.3173419. (IF: 5.343) [38] Chao Tao, Siyang Fu, Ji Qi, Haifeng Li*. Thick cloud removal in optical remote sensing images using a texture complexity guided self-paced learning method. IEEE Transactions on Geoscience and Remote Sensing. 2022. DOI: 10.1109/TGRS.2022.3157917. [39] Li Chen, Qi Li, Weiye Chen, ZeyuWang, Haifeng Li*. A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genomes. International Journal of Intelligent Systems. 2022. doi:10.1002/int.22850. (IF: 8.993) [40] Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu. Curvature Graph Neural Network. Information Sciences. 2021. 10.1016/j.ins.2021.12.077 (IF: 6.795). [41] Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu. Generating Multi-scale Maps from Satellite Images via Series Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters. 2021. 10.1109/LGRS.2021.3129285. (IF: 5.343) [42] Yaoli Wang, Zhou Huang, Ganmin Yin, Haifeng Li, Liu Yang, Yuelong Su, Yu Liu, Xv Shan. Applying Ollivier-Ricci curvature to indicate the mismatch of travel demand and supply in urban transit network. International Journal of Applied Earth Observation and Geoinformation. 2022, 106(2): 102666. 10.1016/j.jag.2021.102666. (IF: 5.993). [43] Weipeng Lu, Chao Tao, Haifeng Li, Ji Qi, Yansheng Li. A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data. Remote Sensing of Environment. 2021. 10.1016/j.rse.2021.112830. (IF: 13.85) [44] Jinfan Xu, Jie Yang, Xingguo Xiong, Haifeng Li, Jingfeng Huang, K.C. Ting, Yibin Ying, Tao Lin. Towards interpreting multi-temporal deep learning models in crop mapping. Remote Sensing of Environment. 2021. 264:112599. (IF: 13.85) [45] Li Chen, Jun Xiao, Pu Zou, Haifeng Li*. Lie to Me: A Soft Threshold Defense Method for Adversarial Examples of Remote Sensing. IEEE Geoscience and Remote Sensing Letters. 2021.10.1109/LGRS.2021.3096244. (IF: 5.343) [46] Mingming Lu, Qi Li, Li Chen *, Haifeng Li. Scale-Adaptive Adversarial Patch Attack for Remote Sensing Image Aircraft Detection. Remote Sensing. 2021, doi.org/10.3390/rs13204078. (IF: 5.349) [47] Li Chen, Weiye Chen, Zewei Xu, Haozhe Huang, Shaowen Wang, Qing Zhu, Haifeng Li*. DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2021.3113047. (IF: 4.715) [48] Yifan Chang, Yifan Wang, Jian Peng, Ziyi Dong, Haifeng Li, Wenbo Li*. MFS: A brain-inspired memory formation system for GAN. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2021, PP(99):1-1 DOI: 10.1109/TCAD.2021.3108706 [49] Yunsheng Zhang, Qingzhang Shi, Jiawei Zhu, Jian Peng*, Haifeng Li. Time Series Clustering with Topological and Geometric Mixed Distance. Mathematics 2021, 9, 1046. [50] Li Chen, Zewei Xu, Qi Li, Jian Peng, Shaowen Wang, Haifeng Li*. An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2021. DOI: 10.1109/TGRS.2021.3051641 (IF: 8.125) [51] Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu*. Generating Multi-scale Maps from Satellite Images via Series Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters. 2021, 10.1109/LGRS.2021.3129285. (IF: 5.343) [52] Qing Zhu, Shengzhi Huang, Han Hu*, Haifeng Li, Min Chen, Ruofei Zhong. Depth-enhanced feature pyramid network for occlusion-aware verification of buildings from oblique images. ISPRS Journal of Photogrammetry and Remote Sensing. 174 (2021) 105–116. (IF: 11.774) [53] Jian Peng, Xiaoming Mei, Wenbo Li, Liang Hong, Bingyu Sun, Haifeng Li*. Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks. Remote Sensing. 2021, 13(4):742. (IF: 4.509) [54] Cheng Liao, Han Hu*, Haifeng Li, Xuming Ge, Min Chen, Chuangnong Li, Qing Zhu. Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction. Remote Sensing. 2021, 13(6), 1049. 10.3390/rs13061049. [55] Jiandong Bai, Jiawei Zhu*, Yujiao Song, Ling Zhao, Zhixiang Hou, Ronghua Du, Haifeng Li. A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting. ISPRS International Journal of Geo-Information. 2021. 10.3390/ijgi10070485. [56] Jiawei Zhu, Qiongjie Wang, Chao Tao, Hanhan Deng, Ling Zhao, Haifeng Li. AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. IEEE Access 2021, 1-1:99: 10.1109/ACCESS.2021.3062114. [57] Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li*. Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples. IEEE Geoscience and Remote Sensing Letters. 2020:1-5. DOI: 10.1109/LGRS.2020.3038420 (IF: 5.343) [58] Haifeng Li, Haikuo Huang, Li Chen, Jian Peng, Haozhe Huang, Zhengqi Cui, Xiaoming Mei, Guohua Wu*. Adversarial examples for CNN-based SAR image classiﬁcation: An experience study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020. DOI: 10.1109/JSTARS.2020.3038683. (IF: 4.715) [59] Ya Zhang, Mingming Lu, Haifeng Li. Urban Traffic Flow Forecast Based on FastGCRNN. Journal of Advanced Transportation. 2020, DOI: 10.1155/2020/8859538 (IF: 1.67) [60] Jie Chen, Xing Zhou, Yi Zhang, Geng Sun, Min Deng, Haifeng Li*. Message-passing driven triplet representation for geo-object relational inference in HRSI. IEEE Geoscience and Remote Sensing Letters. DOI: 2020. 10.1109/LGRS.2020.3038569 (IF: 5.343) [61] Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li. Hierarchical Paired Channel Fusion Network for Street Scene Change Detection. IEEE Transactions on Image Processing. 2020: 1-13. 10.1109/TIP.2020.3031173 (IF: 11.041). [62] Yifan Chang, Wenbo Li, Jian Peng, Haifeng Li, Yu Kang, Yingliang Huang. Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods. IEEE ACCESS. 2020, 8:179942-179954 (IF: 4.640) [63] Li Chen, Haifeng Li, Guowei Zhu, Qi Li, Jiawei Zhu, Haozhe Huang, Jian Peng, Lin Zhao. Attack Selectivity of Adversarial Examples in Remote Sensing Image Scene Classification. IEEE Access. 2020 8: 137477-137489 (IF: 4.640) [64] Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng. Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Information Sciences. 2020, 509: 457–469 (IF: 8.233) [65] Xu Chen, Songqiang Chen, Tian Xu, Bangguo Yin, Jian Peng, Xiaoming Mei, Haifeng Li*. SMAPGAN: Generative Adversarial Network-Based Semisupervised Styled Map Tile Generation Method. IEEE Transactions on Geoscience and Remote Sensing. 2020. 10.1109/TGRS.2020.3021819 (IF: 8.125) [66] Ximeng Cheng, Jianying Wang, Haifeng Li, Yi Zhang, Lun Wu, Yu Liu. A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence. International Journal of Geographical Information Science. 2020. DOI: 10.1080/13658816.2020.1805116 [67] Yue Lu, Xinsha Fu, Chongzhen Lu, Enqiang Guo, Feng Tang, Jiawei Zhu, Haifeng Li∗. Effects of route familiarity on driver psychological status: a study of natural driving. Transportation Research Part F: Traffic Psychology and Behaviour. 2020, 75:37-54 (IF: 2.518) [68] Jinfan Xu, Yue Zhua, Renhai Zhong, Zhixian Lin, Jialu Xu, Hao Jiang, Jingfeng Huang, Haifeng Li*, Tao Lin*. DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping. Remote Sensing of Environment 247 (2020) 111946. DOI:doi.org/10.1016/j.rse.2020.111946 (IF: 13.85) [69] Qing Zhu, Li Chen, Han Hu, Saeid Pirasteh, Haifeng Li, Xiao Xie. Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI 10.1109/JSTARS.2020.3006192. (IF: 4.715) [70] Xiaolei Zhang, Jinfan Xu, Jie Yang, Li Chen, Haibo Zhou, Xiangjiang Liu, Haifeng Li, Tao Li, Yibin Ying. Understanding the learning mechanism of convolutional neural networks in spectral analysis. Analytica Chimica Acta. 2020 1119:41-51. DOI: doi.org/10.1016/j.aca.2020.03.055 (IF: 5.977) [71] Chao Tao, Hao Wang, Ji Qi, Haifeng Li*. Semi-Supervised Variational Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020. 10.1109/JSTARS.2020.2974577. (IF: 4.715) [72] Lin, T., Zhong, R., Wang, Y., Xu, J., Jiang, H., Xu, J., Ying, Y., Rodriguez, L., Ting, K., & Li, Haifeng*. DeepCropNet: A deep spatial-temporal learning framework for county-level corn yield estimation. Environmental Research Letters, 2020, 15, 034016. (IF: 6.096) [73] Haifeng Li, Hao Jiang, Xin Gu, Jian Peng, Wenbo Li, Liang Hong, Chao Tao*. CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification. Sensors 2020, 20, 1226. (IF: 3.275) [74] Haifeng Li, Xin Dou, Chao Tao, Zhixiang Wu, Jie Chen, Jian Peng, Min Deng, Ling Zhao*. RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data. Sensors. 2020, 20, 1594. (IF: 3.275) [75] Yanjie Zeng, Xin Fu, Lei Gao, Jiawei Zhu, Haifeng Li and Yuheng Li, "Robust Multivehicle Tracking with Wasserstein Association Metric in Surveillance Videos," IEEE Access. 2020. 10.1109/ACCESS.2020.2978539 (IF: 4.640) [76] M. Deng, Baoju Liu, Sumin Li, Ronghua Du, Guohua Wu, Haifeng Li, Ling Wang, A Two-Phase Coordinated Planning Approach for Heterogeneous Earth-Observation Resources to Monitor Area Targets, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, 1-16, DOI: 10.1109/TSMC.2019.2962205. (IF: 9.309) [77] Jianghan Zhu, Huangke Chen, Guohu Wu, Li Chen, Haifeng Li*. Pressure point driven evolutionary algorithm for many-objective optimization. Swarm and Evolutionary Computation. 2019, 51, 100599 [78] Chao Tao, Ji Qi,Yansheng Li, Hao Wang, Haifeng Li*. Spatial information inference net: Road extraction using road-specific contextual information panel. ISPRS Journal of Photogrammetry and Remote Sensing. 2019, 158:155-166 (IF: 11.774) [79] Jinfan Xu, Haifeng Li, Jingfeng Huang, Tao Lin*. Efficient Multi-temporal and In-season Crop Mapping with Landsat Analysis Ready Data via Long Short-term Memory Networks. ICML workshop on climate change 2019 [80] Lei Gao, Xingquan Liu, Yu Liu, Pu Wang, Min Deng, Qing Zhu, Haifeng Li*. Measuring Road Network Topology Vulnerability by Ricci Curvature. Physica A: Statistical Mechanics and its Applications, 2019, 527, 121071(IF: 2.924) [81] Haifeng Li, Li Chen Hailun Ding, Guohua Wu*. Procedural Learning with Robust Visual Features via Low Rank Prior. IEEE Access. 2019. PP (99):1-1. (IF: 4.640) [82] Mingming Lu, Yan Liu, Haifeng Li*, Wenbo Li. Hyperbolic Function Embedding: Learning Hierarchical Representation for Functions of Source Code in Hyperbolic Space. Symmetry. 2019,11(2):254 (IF: 4.640) [83] Li Chen, Hailun Ding, Qi Li, Haifeng Li*. Understanding the Importance of Single Directions via Representative Substitution, 2018, AAAI 2019 workshop W10: Network Interpretability for Deep Learning. [84] Xin Shen, Guohua Wu, Rui Wang, Huangke Chen, Haifeng Li, Jianmai Shi. A Self-Adapted Across Neighborhood Search Algorithm with Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems. IEEE Access. 2018,6:41314-41324. (IF: 4.640) [85] Zheng-Yu Duan, Zheng-Yu Duan, Zengxiang Lei, Haifeng Li, Zengxiang Lei, H. Michael Zhang, Dongyuan Yang. Understanding Multiple Days’ Metro Travel Demand at Aggregate Level. IET Intelligent Transport Systems. December 2018 DOI: 10.1049/iet-its.2018.5004 (IF: 9.551) [86] Wu,G., Pedrycz, W., P.N. Suganthan., Li, Haifeng*. 2017. Using variable reduction strategy to accelerate evolutionary optimization. Applied Soft Computing, 61 :283-293. (IF: 5.472). [87] Wu, G H., Wang, H L., Witold Pedrycz., Li, Haifeng*., Wang, L. 2017. Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy. Computers & Industrial Engineering. (IF: 4.135) [88] Duan, Z Y., Wang, C., Zhang, H M., Lei, Z X., Li, Haifeng. 2017. Using Longitudinal Mobile Phone Data to Understand the Stability of Individual Travel Patterns: Case Study of Three Communities in Shanghai, China. Transportation Research Record Journal of the Transportation Research Board. 2643:166-177. DOI10.3141/2643-18. (IF:0.592, SCI). [89] Chen, L., Li, Haifeng*. 2017. Why Batch Noralization work? A Buckling Perspective. International Journal of Grid and Distributed Computing. DOI:10.1109/ICInfA.2017.8079081. (EI). [90] Lin, X., Li, Haifeng*, Zhang, Y., Gao, L., Zhao, L., Deng, M. 2017. A Probabilistic Embedding Clustering Method for Urban Structure Detection. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W7, ISPRS Geospatial Week 2017, 18–22 September 2017, Wuhan, China. (EI). [91] Duan, Z Y., Yang, D Y., Li, Haifeng. 2017. Understanding the stability of individual travel patterns based on longitudinal mobile phone data: a case study of three communities in Shanghai, China. Transportation Research Board 96th Annual Meeting. (EI). [92] 陈力，李海峰*.2018.深度神经网络内部迁移的信息几何度量分析,湖南大学学报 [93] Guohua Wu, Witold Pedrycz, Haifeng Li*, Manhao Ma, Jin Liu. Coordinated Planning of Heterogeneous Earth-Observation Resources, IEEE Transactions on System Man Cybernetics: System. DOI:10.1109/TSMC.2015.2431643 (IF:2.169, SCI) [94] Guohua Wu, Dishan Qiu, Ying Yu, Witold Pedrycz, Manhao Ma, Haifeng Li*. Superior solution guided particle swarm optimization combined with local search techniques. Expert Systems with Applications. 2014, 41(16): 7536–7548 (IF:1.854, SCI, ESI 1%高被引论文) [95] Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li*, Jin Liu. A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy. The Scientific World Journal. 01/2014, DOI: http://www.hindawi.com/journals/tswj/aip/713490/ (IF:1.730, SCI) [96] Haifeng Li*, Bo Wu. Adaptive Geo-Information Processing Service Evolution: Reuse and Local Modification Method. ISPRS Journal of Photogrammetry and Remote Sensing. 2013, 83:165-183.(IF 3.313, SCI) [97] Chenglin Zuo, Yu Liu, Haifeng Li*, Jin Liu, Maojun Zhang. Radial Stereo Imaging System for Three-Dimensional Reconstruction. OPTIK. 2013,124(24):6700–6706. (SCI) [98] Yu Liu, Haifeng Li*, Yongle Li, Jin Liu, Maojun Zhang. Coded Aperture Enhanced Catadioptric Optical System for Omnidirectional Image Deblurrin. OPTIK. 2014,125(1) 2014:11–17.(SCI) [99] Guohua Wu, Witold Pedrycz, Haifeng Li*, Dishan Qiu, Manhao Ma, Jin Liu. Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: a Variable Reduction Strategy. The Scientific World Journal.10/2013, 2013:1-8 (IF:1.730, SCI) [100] Li, Haifeng*, Zhu, Q, Yang, X, Xu, L.. Geo-Information Processing Service Composition for Concurrent Tasks: A QoS-Aware Game Theory Approach. Computers & Geosciences, 2012, 47 :46-59. (IF:1.834, SCI) [101] Bo Wu*, Haifeng Li, Yang Gao. Investigation and Remediation of False Topographic Perception Phenomena Observed on Chang’E-1 Lunar Imagery. Planetary and Space Science. 2013,75:158–166. (IF:2.109, SCI) [102] Li, Haifeng*, Q., Zhu. Y. Ouyang. Non-Cooperative Game Based QoS-Aware Web Services Composition Approach for Concurrent Tasks. IEEE 9th International Conference on Web Services (ICWS 2011), Washington DC USA.(大会报告, accepted rate 11% EI) [103] Haifeng Li*, Bo Wu. A Service-Oriented Architecture for Proactive Geospatial Information Services, Future Internet, 2011, 3(4): 298-318, doi:10.3390/fi3040298. 学术兼职 2011-Present, ISPRS Working Group II/6 - Geo-Visualization and Virtual Reality Member 2014-Present, ACM Member 2011-Present, IEEE Member 2014- Present, CCF Member 中共宁夏回族自治区“自治区特聘专家山西省自然资源厅决策咨询顾问山西省测绘地理信息院决策咨询顾问中国测绘学会第十二届理事会大数据与人工智能工作委员会委员中国指挥与控制学会智能指挥与控制系统工程专业委员会委员云南省地理空间信息工程技术研究中心学术委员会委员云南省高校资源与环境遥感重点实验室学术委员会委员云南省高校资源与环境遥感重点实验室学术委员会委员云南省高校资源与环境遥感重点实验室学术委员会委员期刊审稿人 IEEE Transactions on Neural Networks and Learning Systems IEEE Transaction on Intelligent Transportation Systems IEEE Transactions on Geoscience and Remote Sensing ISPRS Journal of Photogrammetry and Remote Sensing ....... CVPR ECCV 测绘学报研究方向 [1] 地理/遥感大数据 [2] 机器/深度学习 [3] 人工/类脑智能其他联系方式邮箱： lihaifeng@csu.edu.cn 社会兼职 [1] 2011-Present, ISPRS Working Group II/6 - Geo-Visualization and Virtual Reality Member2014-Present, ACM Member2011-Present, IEEE Member2014- Present, CCF Member担任审稿人ISPRS JournalKnowledge-Based SystemInternational Journal of Digital EarthFrontiers of Information Technology & Electronic EngineeringBritish Journal of Mathematics & Computer ScienceInternational Journal of Computer Systems Science and Engineering中国公路学报研究方向 [1] 地理/遥感大数据 [2] 机器/深度学习 [3] 人工/类脑智能其他联系方式 [1] 邮编： 410083 [6] 邮箱： lihaifeng@csu.edu.cn