刘康,女,博士,中国科学院深圳先进技术研究院,副研究员、博士生导师。2018年于中国科学院地理科学与资源研究所(资源与环境信息系统国家重点实验室)取得地理信息科学(GIS)专业博士学位。 长期从事地理空间人工智能(GeoAI)与城市计算研究。近年来发表学术论文近50篇,申请发明专利30余项(含授权11项)。主持国家自然科学基金(面上、青年项目)、国家重点研发计划子课题、 广东省自然科学基金(2项)、深圳市自然科学基金、中国博士后科学基金等多项科研项目,参与国家自然科学基金重点项目、国家重点研发计划、国家863计划重大项目等多个国家级项目。 2020年被认定为深圳市海外高层次人才,2021年获深圳市科技进步一等奖(排名2/13),2022年获中国自动化学会科技进步二等奖(排名2/10)。
研究方向:地理空间人工智能(GeoAI)、城市计算
近期关注:城市大模型、轨迹大模型、轨迹生成、轨迹表示学习、知识-数据双驱动建模、时空知识图谱
招生信息:每年招收2-3名博士/硕士研究生(计算机、电子信息、GIS、应用数学等相关专业),从事GeoAI领域前沿研究,发表高水平SCI论文。详见“招生招聘”信息。
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刘康. 人类移动数据生成方法:研究进展与趋势探讨[J]. 地球信息科学学报, 2024, 26(4): 831-847. [paper]
Jin X, Liu K*, Cao Z, et al., Urban-EPR: A universal model for simulating individual human mobility within intra-urban areas[J]. International Journal of Geographical Information Science, 2025. (中科院一区SCI) [paper]
Cao Z, Liu K*, Jin X, et al. STAGE: A Spatiotemporal-Knowledge Enhanced Multi-Task Generative Adversarial Network (GAN) for Trajectory Generation[J]. International Journal of Geographical Information Science, 2024. (中科院一区SCI) [paper]
Liu K#*, Jin X#, Cheng S, et al. Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models[J]. International Journal of Geographical Information Science, 2024, 38(3), 407-431. (中科院一区SCI) [paper]
Liu K, Yin L, Zhang M, et al. Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images[J]. Infectious Diseases of Poverty, 2021, 10: 40. (中科院一区SCI) [paper]
Liu K, Zhang M, Xi G, et al. Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions[J]. PLOS Neglected Tropical Diseases, 2020, 14(12): e0008924. (中科院一区SCI) [paper]
Liu K, Yin L, Lu F, et al. Visualizing and exploring POI configurations of urban regions on POI-type semantic space[J]. Cities, 2020, 99: 102610. (中科院一区SCI) [paper]
Liu K, Qiu P, Gao S, et al. Investigating urban metro stations as cognitive places in cities using points of interest[J]. Cities, 2020, 97: 102561. (中科院一区SCI) [paper]
Liu K, Gao S, Lu F. Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling[J]. Computers, Environment and Urban Systems, 2019, 74: 50-61. (中科院一区SCI) [paper]
Liu K, Gao S, Qiu P, et al. Road2vec: Measuring traffic interactions in urban road system from massive travel routes[J]. ISPRS International Journal of Geo-Information, 2017, 6(11): 321. (中科院三区SCI) [paper]