所在单位：地球科学与信息物理学院
职务：Professor, Ph.D Supervisor
联系方式：lihaifeng@csu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：武汉大学
学科：测绘科学与技术



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个人简介现任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，龙城英才计划，中南大学321人才。2011年在香港理工大学担任事高级研究助理，2014年作为访问****在美国伊利诺伊大学香槟分校从事空间大数据与服务智能方面研究。目前主持军委科技委创新特区项目1项，GF重大专项1项，国家自然基金项目3项，国家重点研发项目子课题2项，省部级科研项目10余项。已发表高水平SCI论文70余篇，如顶级期刊：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。其中ESI1‰论文1篇，ESI1%论文2篇，合著专著4部，申请发明专利25项，国际专利5项。担任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，Remote Sensing等SCI期刊编委，担任IEEE TGRS、ISPRS Journal、IEEETITS、IEEETNNLS、RSE等20多个国际顶尖期刊审稿人。获测绘科技进步一等奖1项，地理信息产业协会特等奖和一等奖各一项。


Email: lihaifeng@csu.edu.cn


小组信息：
我们小组：GeoXLab = Geospatial + X
我们的使命: 从第一性原理出发，探索空间通用智能的可能性，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。


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（博士生均可出国联培1-2年）。
(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。


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：非欧几何视角下的地理大数据统一表示框架与方法，2019-2022，主持。
(2). 军委科技委创新特区项目(中国之DARPA)：类脑智能启发的高分辨率****目标识别方法，2017-2019
(3). 国家重点研发计划：区域遥感协同监测应急服务体系，2016-2018，子题负责
(4). 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，1万时，2016-2017
(5). 湖南省自然科学基金：面向城市区域功能微观结构的时空特征空间分析方法，2016-2018
(6). 国家自然科学基金：动态不确定环境下空间信息服务的深度组合方法，2016-2019，主持。
(7). 教育部留学回国人员科研启动基金：面向城市交通流的时空特征分析理论与方法，2015-2017，主持。
(8). 国家自然科学基金：多任务并发的空间信息服务优化组合方法，2011-2013，主持。
(9). 国家博士后基金面上资助：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，2012-2013，主持。
(10). 国家博士后基金特别资助：非确定环境下的空间信息服务组合，2013-2014，主持。
(11). 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。
(12). 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。
(13). 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。
(14). 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。
(15). 国防973项目：面向**的航天资源组织机理与应用服务方法，61361，2006-2009，学术骨干。
(16). 973项目：复杂条件下飞行器进近可视导航的基础理论研究，子课题—飞行终端区复杂场景建模的理论与方法，2009-2010，研究骨干。
(17). 重点863项目：地理空间的三维建模和分析软件及其应用示范，2009-2010，研究骨干。
(18). 973项目:地观测数据-空间信息-地学知识的转化机理，子课题—空间信息智能服务，2007-2009，核心开发人员。
(19). 863项目：虚拟地理环境中复杂目标的自适应三维可视化关键技术，2006-2009，研究骨干。


代表性论文 (* 通讯作者)

[1] 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)
[2] 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.** (IF: 11.683)
[3] 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.** (IF: 5.855)
[4] 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.** (IF: 5.855)
[5] 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: 7.319)
[6] 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)
[7] 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 Sens. 2021, 13(6), 1049. 10.3390/rs**.
[8] Jiawei Zhu, Qiongjie Wang, Chao Tao, Hanhan Deng, Ling Zhao, Haifeng Li. AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. IEEE Access2021, 1-1:99: 10.1109/ACCESS.2021.**.
[9] 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.** (IF: 3.833)
[10] Haifeng Li, Haikuo Huang, Li Chen, Jian Peng, Haozhe Huang, Zhengqi Cui, Xiaoming Mei, Guohua Wu*. Adversarial examples for CNN-based SAR image classi?cation: An experience study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020. DOI: 10.1109/JSTARS.2020.**. (IF: 3.827)
[11] Ya Zhang, Mingming Lu, Haifeng Li. Urban Traffic Flow Forecast Based on FastGCRNN. Journal of Advanced Transportation. 2020, DOI: 10.1155/2020/** (IF: 1.67)
[12] 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.** (IF: 3.833)
[13] 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.**. (IF: 3.827)
[14] 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.** (IF: 9.34).
[15] 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)
[16] 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)
[17] 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.** (IF: 5.855)
[18] 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.** (IF: 5.855)
[19] 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: 5.910)
[20] 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.** (IF: 5.855)
[21] 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/**.2020.**
[22] 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)
[23] 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: 9.085)
[24] 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.**. (IF: 3.827)
[25] 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)
[26] HaifengLi,KaijianQiu,LiChen,XiaomingMei,LiangHong,ChaoTao*.SCAttNet:SemanticSegmentationNetworkwithSpatialandChannelAttentionMechanismforHighResolutionRemoteSensingImages.IEEEGeoscienceandRemoteSensingLetters.2020:1-5.DOI:10.1109/LGRS.2020.** (IF: 3.833)
[27] 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.**. (IF: 3.827)
[28] 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)
[29] 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)
[30] 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)
[31] 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.** (IF: 4.640)
[32] 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.**. (IF: 9.309)
[33] 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
[34] 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: 7.319)
[35] 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
[36] 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)
[37] 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)
[38] 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)
[39] 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 System. 2020, 21(9):3848- 3858 (IF: 6.319)
[40] 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.
[41] 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)
[42] 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: 6.319)
[43] 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: 5.910).
[44] 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).
[45] 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)
[46] 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).
[47] Chen, L., Li, Haifeng*. 2017. Why Batch Noralization works? A Buckling Perspective. International Journal of Grid and Distributed Computing. DOI :10.1109/ICInfA.2017.**. (EI).
[48] 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).
[49] 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).
[50] 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
[51] 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.** (IF:2.169, SCI)
[52] 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)
[53] 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)
[54] 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)
[55] 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)
[56] 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)
[57] 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)
[58] 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)
[59] 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)
[60] 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)
[61] Haifeng Li*, Bo Wu. A Service-Oriented Architecture for Proactive Geospatial Information Services, Future Internet, 2011, 3(4): 298-318, doi:10.3390/fi**.




社会兼职
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


担任审稿人
ISPRS Journal
Knowledge-Based System
International Journal of Digital Earth
Frontiers of Information Technology & Electronic Engineering
British Journal of Mathematics & Computer Science
International 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



社会兼职 [1]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

担任审稿人
ISPRS Journal
Knowledge-Based System
International Journal of Digital Earth
Frontiers of Information Technology & Electronic Engineering
British Journal of Mathematics & Computer Science
International 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：

[6]邮箱：