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Lu Chen(陈璐)Associate Professor Ph.D.Department of Computer Science,Aalborg University, Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark Office: 3.2.33 E-mail: luchen@cs.aau.dk / luchen@zju.edu.cn |
Dr. Lu Chen is an associate professor in Department of Computer Science at Aalborg University. She obtained the Ph.D. degree from Zhejiang University, China in 2016, under the supervision of Prof. Yunjun Gao. From Oct. 2015 to Sep. 2016, she worked as a research assistant in Singapore Management University, Singapore, under the supervision of Prof. Baihua Zheng. From Oct. 2016 to Sep. 2017, she worked as a research postdoc fellow in Nanyang Technology University, Singapore, supervised by Prof. Xiaokui Xiao. She joined Aalborg University in October 2017.
My primary research areas are Database and Big Data Management and Analytics. Specifically, my current research interests are as follows:
[Book]
Data Management in Metric Spaces. [Book]
China Machine Press, ISBN 978-7-111-59301-0, pp. 1-224, 2018. (in Chinese, 148,000 words, Big Data Management Series, Editor: Jie She)
[Refereed Journals]
Context-Aware, Preference-Based Vehicle Routing.
The VLDB Journal (VLDBJ), 2020.
Answering Skyline Queries over Incomplete Data with Crowdsourcing.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
Efficient distributed reachability querying of massive temporal graphs.
The VLDB Journal (VLDBJ), 2019.
Statistical Inference Diffusion Networks.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
Indexing Metric Uncertain Data for Range Queries and Range Joins. [Paper]
The VLDB Journal (VLDBJ), 26(4): 585-610, 2017. (Extended version of [C13])
Metric Similarity Joins Using MapReduce. [Paper]
IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 656-669, 2017.
Efficient Metric Indexing for Similarity Search and Similarity Joins. [Paper]
IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 556-571, 2017. (Extended version of [C15])
Metric All-k-Nearest-Neighbor Search. [Paper]
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 98-112, 2016.
Efficient k-Closest Pair Queries in General Metric Spaces. [Paper]
The VLDB Journal (VLDBJ), 24(3): 415-439, 2015.
[Refereed Conferences]
Compression of Uncertain Trajectories in Road Networks.
Proceedings of the 46th International Conference on Very Large Data Bases (VLDB), 2020.
Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing.
Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), 2020.
Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. [Paper]
Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), pp. 1208-1220, 2019.
IHCS: An Integrated Hybrid Cleaning System.
To appear in Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), 2019. (Demo)
Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs. [Paper]
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), pp. 256-267, 2019.
DBSCAN-MS: Distributed Denisty-based Clustering in Metric Spaces. [Paper]
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), pp. 1346-1357, 2019.
PTRider: A Price-and-Time-Aware Ridesharing System. [Paper]
Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), pp. 1938-1941, 2018. (Demo)
UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics. [Paper]
Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), pp. 787-799, 2018.
Scalable Hypergraph-based Image Retrieval and Tagging System. [Paper]
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 257-268, 2018.
Price-and-Time-Aware Dynamic Ridesharing. [Paper]
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 1061-1072, 2018.
Pivot-based Metric Indexing. [Paper]
Proceedings of the43rd International Conference on Very Large Data Bases (VLDB), pp. 1058-1069, 2017. [Codes]
Answering Why-not Questions on Metric Probabilistic Range Queries. [Paper]
Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), pp. 767-778, 2016.
Indexing Metric Uncertain Data for Range Queries. [Paper]
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 951-965, 2015.
I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System.[Paper]
Proceedings of the41st International Conference on Very Large Data Bases (VLDB), pp. 1884-1895, 2015.(Demo)
Efficient Metric Indexing for Similarity Search. [Paper] [Code] [Dataset]
Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), pp. 591-602, 2015.
Browse with a Social Web Directory. [Paper]
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 865-868, 2013. (Short)
Mapping Queries to Questions: Towards Understanding Users' Information Needs. [Paper]
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 977-980, 2013.(Short)
Commodity Query by Snapping. [Paper]
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 985-988, 2013.(Short)
[Guest Editor]
[Conference Organization Committee]
[Journal Referee]
[Conference Program Committee Member]
Last Updated: Jan 30th, 2020