围绕时空大数据智能分析的研究热点，关注大城市复杂的人、地、基础设施交互，研发时空大数据高效存储、处理、表达、分析和可视化的前沿方法，开展相关的应用研究与实践工作，团队致力于追踪主流信息技术领域和地理信息科学/遥感前沿热点方向，包括人工智能、机器学习、时空大数据、云计算等。主要研究方向：
1）机器学习驱动的时空表达、同化、分析与预测
2）城市计算、交通地理与人类活动建模
3）高分辨率遥感影像解译
国家级科研课题
主持 国家自然基金面上项目《感知出行先验的城市人类活动生成建模与因果解耦解释》
主持 国家重点研发计划政府间国际科技创新合作重点专项《室内外三维场景下行人轨迹即时表达、语义分析与智能应用》
主持 国家自然科学基金面上项目《多源城市大数据支持的公交出行时空模式在线发现与大规模公交网络布局综合分析》
主持 国家自然基金重大研究计划培育项目《空间网络分布式虚拟存储与管理的理论和方法》
主持 国家自然科学基金委员会-广东省政府联合基金（第二期）超级计算科学应用研究专项
主持 国家自然科学基金面上项目《大规模时变区域覆盖优化建模及其高性能求解》
参与 国家重点基础研究发展计划《高分辨率遥感数据精处理和空间信息智能转化的理论与方法 - 高分辨率遥感影像的智能检索与在线服务》
主持 国家自然科学基金青年科学基金《基于高性能地理计算的多目标空间优化决策可视分析》
省部级科研课题
参与 湖北省自然科学基金（创新发展联合基金）《基于双偏振雷达的对流性大风发生机制和智能识别技术研究》
参与 湖北省省级技术创新计划重点研发专项公益事业类项目（社会发展领域）《基于多源资料重构的灾害性短时强降水智能快速监测与临近预警》
参与 中国气象局气象能力联合研究专项 《基于双偏振雷达的短时强降水临近预警研究》
主持 第三批中国博士后科学基金特别资助《交通多源时空数据在线融合与拥堵模式实时分析》
主持 中国博士后科学基金面上资助一等资助《基于高性能计算的多源交通时空数据集成可视分析》
主持 湖北省“楚天学者计划”2011年第二批楚天学子奖励资助
主持 教育部留学回国人员科研启动基金《交通时空数据高性能可视分析》
其他纵向和企事业单位委托课题
主持 中国气象局流域强降水重点开放实验室2023年度开放研究基金 《感知大气运动先验的潜在扩散强降水预报模型 − 以长江中下游流域为例》
主持 武大-华为空间信息技术创新实验室2024年开放基金《感知轨迹先验图时空表征支持的实时出行路线估时与规划》
主持 武大-华为空间信息技术创新实验室2023年开放基金 《基于大规模轨迹数据的城市实时路况在线补全和短期预测》
主持 深圳市易景空间智能科技有限公司《室内智能位置服务研发》
参与 国网湖南超高压变电公司 《变电站电容塔检修作业机器人研制项目-自适应路径规划与导航控制算法外委研究》
参与 机器视觉线缆自动检测与测量系统研发
主持 江夏区第一人民医院《基于CT影像的肺结节自动检测和分类关键技术研究》
参与 深圳大学委托《融合多元视觉信息的目标检测模型及优化》
主持 长江科学院《面向水土保持的遥感解译》
主持 武汉大学中央高校基本科研业务费专项《面向复杂室内环境的行人行为建模与信息推荐》
参与 武汉市公安局《视频监控点位布局建模系列规范》
参与 重庆市规划局《城市特征区域自动识别技术研究》
主持 浙江省智能交通工程技术研究中心开放课题《基于多源异构数据的城市道路实时交通仿真系统》
参与 深圳市综合交通运行指挥中心《深圳市居民出行需求热点分析及公交出行服务优化研究》
主持 深圳大学空间信息智能感知与服务深圳市重点实验室开放基金《复杂网络应急服务覆盖建模与可靠性分析》
主持 武汉东湖高技术开发区“3551”人才项目《高效能遥感数据处理与分析的云服务平台》
主持 武汉大学引进人才启动项目《高性能动态区域覆盖优化建模及求解》
主持 武汉市创新人才开发资金资助(留学回国人员创新专项 )《高效能遥感信息云服务平台》
发表论文（2020年后，#为本人指导的研究生）
沈盛彧，张彤，程冬兵，王志刚，赵元凌，邓羽松，钱峰。(2020)。融合无人机高分辨率DOM和DSM数据语义的崩岗识别。《农业工程学报》36(12): 69–79.
Zhang, T.*, Li, Y.#, Yang, H.#, Cui, C.#, Li, J., and Qiao, Q. (2020). Identifying Primary Public Transit Corridors Using Multi-source Big Transit Data. International Journal of Geographical Information Science 34(6): 1137–1161.
Li, J., Wang, X., and Zhang, T. (2020). Sequence-based Centrality Measures in Maritime Transportation Networks. IET Intelligent Transport Systems 14(14): 2042–2051.
Shi, F.#, Zhang, T.*, and Zhang, T. (2021). Orientation-aware Vehicle Detection in Aerial Images via An Anchor-free Object Detection Approach. IEEE Transactions on Geoscience and Remote Sensing 59(6): 5221–5233.
Zhang, T.*, Duan, X.#, and Li. Y.# (2021). Unveiling Transit Mobility Structure Towards Sustainable Cities: An Integrated Graph Embedding Approach. Sustainable Cities and Society 72: 103027.
Shi, F. #, and Zhang, T.* (2021). A Multi-Task Network with Distance-Mask-Boundary Consistency Constraints for Building Extraction from Aerial Images. Remote Sensing 13(14): 2656.
Li, J., Wang, X., He, Z.#, and Zhang, T. (2021). A Personalized Activity-based Spatiotemporal Risk Mapping Approach to COVID-19 Pandemic. Cartography and Geographic Information Science 48(4): 275–291.
Shen, S., Chen, J.#, Zhang, S., Cheng, D., Wang, Z., and Zhang, T.* (2021). Deep Fusion of DOM and DSM features for Benggang Discovery. ISPRS International Journal of Geo-Information 10: 556.
Zhang, T.*, Duan, X.#, Wong, D., and Lu, Y.# (2021). Discovering Income-Economic Segregation Patterns: A Residential-Mobility Embedding Approach. Computers, Environment and Urban Systems 90: 101709.
Yao, Y., Wang, W., Qiao, Y., He, Z., Liu, F., Li, X., Liu, X., Zou, D. and Zhang, T. (2021). A Novel Series-Parallel Hybrid Robot for Climbing Transmission Tower. Industrial Robot 48(4): 577–588.
Zhang, T.*, Zhang, W.#, and He, Z.# (2021). Measuring Positive Public Transit Accessibility Using Multi-source Transit Data. Geo-spatial Information Science 24(4): 722–741.
Zhang, T.*, and Li, J. (2021). Understanding and Predicting Spatio-temporal Spreading of COVID-19 via Integrating Diffusive Graph Embedding and Compartmental Models. Transactions in GIS 25(6): 3025–3047.
Huang, J., and Zhang, T. (2021). Personalized POI Recommendation Using Deep Reinforcement Learning. In 16th International Conference on Location Based Services 142, November, 24–25, 2021.
Tian, Z., Yang, W., Zhang, T., and Ai, T. (2022). Characterizing the Activity Patterns of Outdoor Jogging Using Massive Multi-aspect Trajectory Data. Computers, Environment and Urban Systems 95: 101804.
Wang, P. #, Zhang, T.*, Zheng, Y., and Hu, T. (2022). A Multi-view Bidirectional Spatiotemporal Graph Network for Urban Traffic Flow Imputation. International Journal of Geographical Information Science 36(6): 1231–1257. ESI Highly Cited Papers.
Liu, X., Wang, W., Li, X., Liu, F., He, Z., Yao, Y., Ruan, H., and Zhang, T. (2022). MPC-based High-Speed Trajectory Tracking for 4WIS Robot. ISA Transactions 123: 413–424.
Zhang, T.*, He, W.#, and Huang, J.# (2022). Interactive Visual Analytics of Moving Passenger Flocks Using Massive Smart Card Data. Cartography and Geographic Information Science 49(4): 354–369.
Zhang, T.*, Wang, J.#, and Liu, J.# (2022). A Gated Generative Adversarial Approach for Imputing Missing Values on Signalized Road Networks. IEEE Transactions on Intelligent Transportation Systems 23(8): 12144–12160.
Jin, J., Rong, D., Zhang, T., Ji, Q., Guo, H., Lv, S., Ma, X., and Wang, F. (2022). A GAN-based Short-Term Link Speed Prediction Approach for Urban Road Networks Under a Parallel Learning Framework. IEEE Transactions on Intelligent Transportation Systems 23(9): 16185–16196.
Shi, F. #, and Zhang, T*. (2022). An Anchor-free Network with Box Refinement and Saliency Supplement for Instance Segmentation in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters 19: 6516205.
Li, X., Jiang, L., Liu, X., Dang, R., Liu, F., Wei, W., Zhang, T. and Wang, G. (2022). Modeling and Implementation of A Novel Amphibious Robot with Multimode Motion. Industrial Robot 49(5): 947–961.
Zhang, T.*, Liu, J.#，and Wang, J.# (2022). Rainstorm Prediction via a Deep Spatio-Temporal-Attributed Affinity Network. GeoCarto International 37(26): 13079–13097.
Wang, P.#, Zhang, Y., Hu, T., and Zhang, T.* (2023). Urban Traffic Flow Prediction: A Dynamic Temporal Graph Network Considering Missing Values. International Journal of Geographical Information Science 37: 885–912.
Li, Y.#, Zhang, T.*, Lv, X., Lu, Y., and Wang, W. (2023). Profiling Public Transit Passenger Mobility Using Adversarial Learning. ISPRS International Journal of Geo-Information 12: 338.
Liu, J.#, Zhang, T.*, Gao, C. #, and Wang, P. # (2023). Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatio-temporal Priors into Deep Neural Networks. IEEE Transactions on Geoscience and Remote Sensing 61:5911413.
王培晓#，张彤*，聂士超#，杨瑾萱#，王天骄# 。(2023)。顾及缺失值的因果图时空预测网络 。《测绘学报》52(5): 818–830.
段晓旗#，张彤，田友亮，刘沛林，万桥，秦永彬。(2023)。居民出行异质性与城市活动结构。《测绘学报》52(1): 155–166.
张彤*，刘仁宇#，王培晓#，高楚林#，刘杰#，王望舒。（2023）。感知物理先验的机器学习及其在地理空间智能中的研究前景。《地球信息科学学报》25(7): 1297–1311.
谭双平，张彤*，祖江林，邓友锋，吴下里，魏杰，严馨月。（2023）。深度学习驱动的CT影像肺结节检测：挑战和展望。《中国医疗器械杂志》47(2): 163–172.
Duan, X.#, Zhang, T., Xu, Z., Wan, Q., Yan, J., Wang, W., and Tian, Y. (2023). Discovering Urban Mobility Structure: A Spatio-temporal Representational Learning Approach. International Journal of Digital Earth 16(2): 4044–4072.
Zhang, T., Liu, J.#, Gao, C.#, Wang, P.#, Leng, L., and Xiao, Y. (2024). Prior-Guided Gated Convolutional Networks for Rainstorm Forecasting. Journal of Hydrology 633: 130962.
He, Z.#, Zhang, T.*, and Wang, W. (2024). A Deep Pedestrian Trajectory Generator for Complex Indoor Environments. Transactions in GIS 28(2): 411–432.
Wang, P.#, Zhang, T.*, and Hu, T. (2024). Traffic Condition Estimation and Data Quality Assessment for Signalized Road Networks using Massive Vehicle Trajectories. Journal of Ambient Intelligence and Humanized Computing 15: 305–322.
Zhang, T.*, Wang, J.#, Wang, T. #, Pang, Y. #, Wang, P. #, and Wang, W. (2024). A Deep Marked Graph Process Model for Citywide Traffic Congestion Forecasting. Computer-Aided Civil and Infrastructure Engineering 39(8): 1180–1196.
Shen, S., Chen, J.#, Cheng, D., Liu, H., and Zhang, T*. (2024). Benggang Segmentation Via Deep Exchanging of DOM and DSM Features. International Soil and Water Conservation Research 12: 589–599.
Liu, Y. #, Zhang, T.*, Huang, Y., and Shi, F. (2024). A Semantic Edge-aware Multi-task Network Based on CNN and Transformer Backbone for Farmland Instance Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17: 13765.
彭锦辉，张功凯，王彤，王培晓，张彤*。（2024）。轨迹驱动的多层时空图神经网络交通路况短期预测。《地球信息科学学报》26(10): 2300–2315.
Wang, P.#, Zhang, T.*, Zhang, H., Cheng, S., and Wang, W. (2024). Adding Attention to the Novel Attentional Neural Ordinary Differential Equation for Spatio-temporal Prediction. International Journal of Geographical Information Science 38(1): 156–181.
陈佳晟#，游翔，沈盛彧，廖梓凯，张彤*。（2024）。基于Transformer语义分割模型的露天矿场识别。《人民长江》55(7): 56–64.
Wei, L., Zou, J., Xu, H., Wu, Z., Liu, L., Liao, J., Wang, W., and Zhang, T. (2024). Economical Quadrupedal Mulit-gait Locomotion via Gait-heuristic Reinforcement Learning. Journal of Bionic Engineering 21: 1720–1732.
Wang, P., Zhang, H., Cheng, S., Lu, F., Zhang, T., and Chen, Z. (2024). Understanding Human Mobility and Trip Demand through Sparse Trajectories of Private E-bikes. Journal of Cleaner Production 2024: 143444.
王培晓, 张恒才, 张彤, 陆锋。（2024）。基于注意力常微分方程的PM25浓度预测及其可解释性分析。《地球信息科学学报》6(26): 1363–1373.
Wang, P., Zhang, H., Cheng, S., Zhang, T., Lu, F., and Wu, S. (2024). A Lightweight Spatiotemporal Graph Dilated Convolutional Network for Urban Sensor State Prediction. Sustainable Cities and Society 101:105105.
Li, J., Wang, X., and Zhang, T. (2024). A Spatiotemporal Learning Approach to Safety-oriented Individualized Driving Risk Assessment in a Vehicle-to-Everything (V2X) Environment. IET Intelligent Transport Systems 18(12): 2459–2484. DOI: 10.1049/itr2.12584.
蒲坚，刘仁宇，王志刚，张彤，李建明，沈盛彧，许文盛，刘纪根。（2024）。基于细部地物组合检测的建设项目场景识别。《中国水土保持科学》22(6): 155–162.
Wang, P., Zhang, H., Cheng, S., Zhang, T., and Lu, F. (2025). Quickly Forecasting the Future State of Urban Sensors by the Missing-data-tolerant Deep Learning Approach. Sustainable Cities and Society 118: 106044.
Wang, P., Zhang, H., Liu, J., Lu, F., and Zhang, T. (2025). Efficient Inference of Large-scale Air Quality Using a Lightweight Ensemble Predictor. International Journal of Geographical Information Science 39(4): 900–924.
Tang, X., Kwan, M., Yu, Y., Xie, L., Qin, K., Zhang, T. 2025. A Multi-scale Pyramid Model of Cardinal Directions for Different Scenarios. Transactions in GIS 29(1): e70010.
王培晓, 张恒才, 张岩, 程诗奋, 张彤, 陆锋。(2025)。地理空间智能预测研究进展与发展趋势。《地球信息科学学报》27(1): 60–82.
Xu, C., Liu, J., Han, S., Duan, X., Xiang, L., and Zhang, T. (2025). FourCastLSTM: A Precipitation Nowcasting Model Integrating Global and Local Spatiotemporal Features. Computers & Geosciences 204: 105966.
Wang, P., Zhang, H., Zhang, B., Cheng, S., Lu, F., and Zhang, T. (2025). Spatiotemporal Variations of Private E-bike Trips with Explainable Data-driven Technologies. Cities 158:105712.
刘杰，张彤*，王培晓，韩士元，冷亮，肖艳姣。(2025)。基于卡尔曼“估计-校正”循环网络的暴雨临近预测。《地球信息科学学报》27(4):888–899.
高楚林, 骆一川, 冷亮, 张彤*。(2025)。物理先验引导的暴雨临近预报：确定性建模与基于扩散的时空细化。《地球信息科学学报》27(12): 2865–2879.
Wang, Z., Zhang, T.*, Li, J., Wang, P., Zhu, Y. (2025). Capturing Spatial Heterogeneity of Population-level Human Mobility via A Prior-guided Graph Neural Network. International Journal of Geographical Information Science 39(12): 2710–2737.
Liu, Y. #, Zhang, T.*, Huang, Y., Wang, P., and Wang, G. (2025). RL-ISegNet: Refining Instance Segmentation for High-Resolution Remote Sensing Imagery via Iterative Reward Maximization with Limited Samples. IEEE Transactions on Geosciences and Remote Sensing 63: 5637521.
Liu, Y.#, Zhang, T.*, and Huang, Y. (2025). GeoMM-SSL: Integrating Geospatial Object Relations in Multi-Modal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8: 19076–19098.
Wang, X., Li, J., Theo, C., and Zhang, T. (2025). Coupling Machine Learning and Visualization Approaches to Individual- and Road-level Driving Behavior Analysis in a V2X Environment. International Journal of Intelligent Transportation Systems Research 23(1): 219–244.
朱雨昂#，张彤*，王志鹏。(2025)。应用解耦表征学习的人类出行流量生成建模。《地球信息科学学报》28(1):138–153.
Tan, S., Zhang, T., Deng, Y., Nie, Z., Wu, X., Yan, X., Zhang, X., Yi, H., Song, X., and Li, J. (2025). A Study for Expert-informed Active Pulmonary Nodule Segmentation. Biomedical Engineering Letters 15(4): 735–748.
Wang, Z.#, Li, C.#, Zhang, T.*, Zhu, Y.#, and Li, J. (2026). A Prompt Tuning Approach Based on Pre-trained Cross-City Graph Neural Networks for Zero-Shot Flow Generation. International Journal of Geographical Information Science (Accepted). DOI: 10.1080/13658816.2026.2642382
Lu, Y. #, Zhang, T.*, Wang, P., Cheng, S., and Lu, F. (2026). A New Spatial Measurement Method Considering Potential Mobility for Detecting Racial Segregation. Submitted for Annals of GIS.
Xu, C., Liu, J., Han, S., Wang, P., and Zhang, T. (2026). NowcastDiff：Uncertainty-aware Precipitation Nowcasting with Diffusion Model Simulating Precipitation Evolution Processes. Submitted for Engineering Applications of Artificial Intelligence.
Gao, C.#, Luo, Y.#, Leng, L., Liu, J., and Zhang, T.* (2026). Physics-guided Latent Diffusion Model for Intensity- and Extremity-aware Short-duration Heavy Rainfall Nowcasting. Submitted for IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Liu, Y.#, Wu, Z.#, Zhang, T.*, and Li, J. (2026). MVP-SAM: Multi-View Prompting SAM via Semantic Compensation for Remote Sensing Instance Segmentation under Limited Annotations. Submitted for IEEE Transactions on Image Processing.