張彤

人工智能驅動的時空表達、同化、分析與預測 ^[2] 

高分辨率遙感影像解譯及在城市計算中的應用 ^[2] 

城市計算、交通地理與人類活動數據可視分析 ^[2] 

博士 2004.1-2007.12 聖地亞哥州立大學/加州大學聖巴巴拉分校

碩士 2000.9-2003.6 武漢大學

主持 國家重點研發計劃政府間國際科技創新合作重點專項《室內外三維場景下行人軌跡即時表達、語義分析與智能應用》 ^[3] 

主持 國家自然科學基金面上項目《多源城市大數據支持的公交出行時空模式在線發現與大規模公交網絡佈局綜合分析》 ^[3] 

主持 長江科學院 《面向水土保持的遙感解譯》 ^[2] 

主持 國家自然基金重大研究計劃培育項目《空間網絡分佈式虛擬存儲與管理的理論和方法》 ^[3] 

主持 國家自然科學基金面上項目《大規模時變區域覆蓋優化建模及其高性能求解》 ^[3] 

參與 國家重點基礎研究發展計劃《高分辨率遙感影像的智能檢索與在線服務》 ^[3] 

主持 空間信息智能感知與服務深圳市重點實驗室開放基金《複雜網絡應急服務覆蓋建模與可靠性分析》 ^[2] 

²Zhang, T., and Tsou, M.-H. (2009). Developing Grid-enabled Spatial Web Portal for InternetGIServicesand Geospatial Cyberinfrastructure.International Journal of Geographical Information Science23(5): 605-630 (SCI).

²Wang, H,Zhang, T.*, Tang, X., and Liu. Y. (2010). Building a Dynamic, Large-scale Spatial-temporal Vector Database to Support a National Spatial Data Infrastructure in China.GIScience and Remote Sensing47(1): 135-162. (SCI). (* Corresponding author).

²Zhang, T., Tsou, M.-H.,Qiao, Q., and Hu, B. (2010). Designing Integrated High Performance Web Portals for GIScience Research.Journal of Internet Technology 11(6): 809-820. (SCI).

²Li, Q., Zeng, Z.,Zhang, T., Li, J., and Wu, Z. (2011). Path Finding through Flexible Hierarchical Road Networks: An Experienced Approach using Taxi Trajectory Data.International Journal of Applied Earth Observation andGeoinformation13(1):110-119. (SCI).

²Li, Q.,Zhang, T.*, Wang, H., and Zeng, Z. (2011). Dynamic Accessibility Mapping Using Floating Car Data: A Network-constrained Density Estimation Approach.Journal of Transport Geography19(3):379-393. (SSCI). (* Corresponding author).

²Li, Q.,Zhang, T.*, and Yu, Y. (2011). Using Cloud Computing to Process Intensive Floating Car Data for Urban Traffic Surveillance.International Journal of Geographical Information Science25(8): 1303-1322. (SCI). (* Corresponding author).

²Shen, S.,Zhang, T.*, Wu, H., and Liu, Z. (2012). A Catalogue Service forGIServicesSupporting Active Registration and Real-Time Quality Monitoring.Transactions in GIS16(6): 745-761. (SSCI). (* Corresponding author).

²Ji, S.,Zhang, T.*, Guan, Q., and Li, J. (2013). Non-linear Intensity Correlation for Multi-temporal Remote Sensing Images.International Journal of Applied Earth Observation andGeoinformation21: 436-443. (SCI). (* Corresponding author).

²Wu, H.,Zhang, T., Gong, J. (2014).GeoComputationfor Geospatial Big Data.Transactions in GIS18 (S1): 1–2. (SSCI).

²Zhang, T., and Li, J. (2015). Online Task Scheduling for LiDAR Data Preprocessing on Hybrid GPU/CPU Devices: A Reinforcement Learning Approach.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8(1): 386–397. (SCI).

²Chen, J.,Zhang, T.*, Dong, S., andXie, B. (2015). Fast Registration of Multi-source Three dimensional City Models inGeoGlobes.International Journal of Digital Earth8(4): 293-311. (SCI). (* Corresponding author).

²Zhang, T., Yan, W., Su, C., and Ji, S. (2015). Accurate Object Retrieval for High-resolution Remote Sensing Imagery using High Order Topic Consistency Potentials.International Journal of Remote Sensing36(16): 4250-4273. (SCI).

²Zhang, T, Hua, G., andLigmann-Zielinska, A. (2015). Visually-driven Parallel Solving of Multi-objective Land-use Allocation Problems: A Case Study in Chelan, Washington.Earth Science Informatics8(4): 809-825. (SCI).

²Zou, Q., Ni, L.,Zhang, T.*, and Wang, Q. (2015). Deep-learning Based Feature Selection for Remote Sensing Scene Classification.IEEE Geoscience and Remote Sensing Letters12(11): 2321-2325. (SCI). (* Corresponding author).

²Zhang, T., Li, J., Liu, Q., and Huang, Q. (2016). A Cloud-enabled Remote Visualization Tool for Time-varying Climate Data Analytics.Environmental Modelling & Software75:513-518. (SCI).

²Zeng, Z.,Zhang, T.*, Li, Q., Wu, Z., Zou, H., and Gao, C. (2016). Curvedness Feature Constrained Map Matching for Low-frequency Probe Vehicle Data.International Journal of Geographical Information Science. Accepted. 10.1080/13658816.2015.1086922. (SCI). (* Corresponding author).

²Zhang, T., Yan, W., Li, J., and Chen, J. (2016). Multi-class Labeling of Very High-Resolution Remote Sensing Imagery by Enforcing Non-local Shared Constraints in Multi-level Conditional Random Field Models.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Accepted. 10.1109/JSTARS.2015.2510367.(SCI).

²Li, J.,Zhang, T., (2016). Predicting Visualization Intensity for Interactive Spatiotemporal Visual Analytics: A Data-driven View-dependent Approach. Submitted forInternational Journal of Geographical Information Science(under revision).

²Li, J.,Zhang, T., Wong, D., and Mooney, M. (2016). A View-dependent Spatiotemporal Saliency-driven Approach for Remote Visualization. Submitted forComputers, Environment and urban Systems(under revision).

工作單位：國家電網許繼集團有限公司

工作單位：鐵道第三勘察設計研究院

工作單位：吉林省測繪局

工作單位：解放軍9XXXX部隊

工作單位：浪潮集團有限公司

工作單位：福建省城鄉規劃設計研究院

工作單位：長江水利委員會長江科學院

工作單位：天津市測繪院

工作單位：中國船舶重工集團有限公司第710研究所

工作單位：寧波市鄞州區測繪院