Published in ICDE, 2024
This paper proposes TMan, A High-Performance Trajectory Data Management System Based on Key-value.
Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng. TraSS: Efficient TMan: A High-Performance Trajectory Data Management System Based on Key-value Stores[C]//2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE, 2024 Download
Published in NDBC, 2023
This paper proposes TraSS, an efficient framework for trajectory similarity search in key-value data stores.
王璐璐、何华均、潘哲逸、鲍捷、郑宇. 面向政府大规模协同任务的时空数据管理和分析研究.[NDBC 2023]. Download
Published in ICDE, 2022
This paper proposes TraSS, an efficient framework for trajectory similarity search in key-value data stores.
Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng. TraSS: Efficient Trajectory Similarity Search Based on Key-Value DataStores[C]//2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, 2022. [ICDE 2022]. Download
Published in SIGSPATIAL, 2021
This paper proposes a novel and useful problem, i.e., ST-𝑘NN join, which considers both spatial closeness and temporal concurrency.
Li R, Wang R, Liu J, He H, et al. Distributed Spatio-Temporal k Nearest Neighbors Join[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 435-445. [SIGSPATIAL 2021]. Download
Published in SIGSPATIAL, 2021
In this paper, we propose a universal StAy point-based LOcation aNalysis platform, i.e., SALON, with the characteristics of universality, efficiency and flexibility.
Hu Y, Ruan S, Ni Y, He H, et al. SALON: a universal stay point-based location analysis platform[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 407-410. [SIGSPATIAL 2021]. Best Demo Paper Award! Download
Published in SIGSPATIAL, 2021
Inspired by the observation that the users’ GPS locations are highly related to their delivery address, we propose a ubiquitous alias discovery framework.
He T, Chen G, Meng C, He H, et al. POI Alias Discovery in Delivery Addresses using User Locations[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 225-228. [SIGSPATIAL 2021]. Download
Published in SIGSPATIAL, 2021
This demo presents a holistic trajectory data management system based on distributed platforms, such as Spark and HBase, namely JUST-Traj. It provides a variety of indexes to efficiently support spatio-temporal queries and analyses on massive trajectories.
He H, Li R, Bao J, et al. JUST-Traj: A Distributed and Holistic Trajectory Data Management System[C]//Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021: 403-406. [SIGSPATIAL 2021]. Download
Published in TKDE, 2021
This paper takes the first attempt to build a holistic distributed NoSQL trajectory storage engine, named TrajMesa, based on GeoMesa, an open-source indexing toolkit for spatio-temporal data.
Li R, He H, Wang R, et al. TrajMesa: a distributed NoSQL-based trajectory data management system[J]. IEEE Transactions on Knowledge and Data Engineering, 2021. [TKDE 2021]. Download
Published in 计算机科学, 2021
This paper proposes a novel distributed distance join algorithm, i.e., JUST-Join, for massive spatial data.
王如斌, 李瑞远, 何华均, 等. 面向海量空间数据的分布式距离连接算法[J]. 计算机科学, 49(1): 95-100. [计算机科学 2021]. Download
Published in DASFAA, 2020
This paper provides the first attempt to discover real-time reachable areas with real-time trajectories.
Li R, Bao J, He H, et al. Discovering real-time reachable area using trajectory connections[C]//International Conference on Database Systems for Advanced Applications. Springer, Cham, 2020: 36-53. [DASFAA 2020]. Download
Published in ICDE, 2020
This paper proposes a holistic distributed NoSQL trajectory storage engine, TrajMesa, based on GeoMesa, an open-source indexing toolkit for spatio-temporal data.
Li R, He H, Wang R, et al. Trajmesa: A distributed nosql storage engine for big trajectory data[C]//2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020: 2002-2005. [ICDE 2020]. Download
Published in ICDE, 2020
This paper presents JUST, i.e., JD Urban Spatio-Temporal data engine, which can efficiently manage big spatio-temporal data in a convenient way.
Li R, He H, Wang R, et al. Just: Jd urban spatio-temporal data engine[C]//2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020: 1558-1569. [ICDE 2020]. Download
Published in arXiv, 2020
we propose a novel spatio-temporal infected rate (IR) measure based on human moving trajectories that can adequately describe the risk of being infected by a given query trajectory of a patient.
He H, Li R, Wang R, et al. Efficient suspected infected crowds detection based on spatio-temporal trajectories[J]. arXiv preprint arXiv:2004.06653, 2020. Download