Hua Lu's Selected Publications by Topic


Indoor Data Management
  1. T. Liu, Z. Feng, H. Li, H. Lu, M. A. Cheema, H. Cheng, J. Xu: Shortest Path Queries for Indoor Venues with Temporal Variations. 36th IEEE International Conference on Data Engineering (ICDE), pages 2014-2017, 2020.
  2. H. Li, H. Lu, A. Cheema, G. Chen, L. Shou: Indoor Mobility Semantics Annotation Using Coupled Relational Markov Networks. 36th IEEE International Conference on Data Engineering (ICDE), pages 1441-1452, 2020.
  3. Z. Feng, T. Liu, H. Li, H. Lu, L. Shou, J. Xu: Indoor Top-k Keyword-aware Routing Query. 36th IEEE International Conference on Data Engineering (ICDE), pages 1213-1224, 2020.
  4. H. Li, H. Lu, L. Shou, G. Chen, K. Chen, Q. Chen: Towards Translating Raw Indoor Positioning Data into Mobility Semantics. ACM Transactions on Data Science (TDS), Accepted January 2020.
  5. Z. Shao, M. A. Cheema, D. Tania, H. Lu, S. Yang: Efficiently Processing Spatial and Keyword Queries in Indoor Venues. IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted January 2020.
  6. H. Li, H. Lu, L. Shou, G. Chen, K. Chen: Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data. IEEE Transactions on Knowledge and Data Engineering (TKDE)31(11): 2108-2123, 2019.
  7. H. Li, F. Shi, H. Lu, L. Shou, K. Chen, G. Chen: TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics. Proceedings of the VLDB Endowment, 11(12): 1918-1921, 2018. Demonstration.
  8. H. Li, H. Lu, L. Shou, G. Chen, K. Chen: In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(8):1481-1495, 2018.
  9. T. Ahmed, T. B. Pedersen, H. Lu: Finding Dense Locations in Symbolic Indoor Tracking Data: Modeling, Indexing, and Processing. GeoInformatica 21(1): 119-150, 2017.
  10. Z. Shao, M. A. Cheema, D. Taniar, H. Lu: VIPTree: An Effective Index for Indoor Spatial Queries. Proceedings of the VLDB Endowment, 10(4):325-336, 2016.
  11. H. Li, H. Lu, X. Chen, G. Chen, K. Chen, L. Shou: Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings. Proceedings of the VLDB Endowment, 9(13):1453-1456, 2016. Demonstration.
  12. A. I. Baba, M. Jaeger, H. Lu, T. B. Pedersen, W.-S. Ku, X. Xie: Learning-Based Cleansing for Indoor RFID Data, ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 925-936, 2016.
  13. H. Lu, C. Guo, B. Yang, C. S. Jensen: Finding Highly Visited Indoor POIs Using Symbolic Indoor Tracking Data. 19th International Conference on Extending Database Technology (EDBT), pages 461-472, 2016.
  14. H. Li, P. Peng, H. Lu, L. Shou, K. Chen, G. Chen: E2C2: efficient and effective camera calibration in indoor environments. UbiComp/ISWC Adjunct, pages 9-12, 2015.
  15. X. Xie, H. Lu, T. B. Pedersen: Distance-Aware Join for Indoor Moving Objects. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(2):428-442, 2015.
  16. M. Boysen, C. de Haas, H. Lu, X. Xie, A. Pilvinyte: Constructing Indoor Navigation Systems from Digital Building Information. 30th IEEE International Conference on Data Engineering (ICDE), pages 1194-1197, 2014. Demo paper.
  17. X. Xie, H. Lu, T. B. Pedersen: Efficient Distance-Aware Query Evaluation on Indoor Moving Objects.29th IEEE International Conference on Data Engineering (ICDE), pages 434-445, 2013.
  18. J. Yu, W.-S. Ku, M.-T. Sun, H. Lu: An RFID and Particle Filter-Based Indoor Spatial Query Evaluation System. 16th International Conference on Extending Database Technology (EDBT), pages 263-274, 2013.
  19. H. Lu, X. Cao, C. S. Jensen: A Foundation for Efficient Indoor Distance-Aware Query Processing. 28th IEEE International Conference on Data Engineering (ICDE), 12 438-449, 2012.
  20. H. Lu, B. Yang, C. S. Jensen: Spatio-Temporal Joins on Symbolic Indoor Tracking Data. 27th IEEE International Conference on Data Engineering (ICDE), pages 816-827, 2011.
  21. B. Yang, H. Lu, C. S. Jensen: Probabilistic Threshold k Nearest Neighbor Queries over Moving Objects in Symbolic Indoor Space. 13th International Conference on Extending Database Technology (EDBT), pages 335-346, 2010.
  22. B. Yang, H. Lu, C. S. Jensen: Scalable Continuous Range Monitoring of Moving Objects in Symbolic Indoor Space. 18th ACM Conference on Information and Knowledge Management (CIKM), pages 671-680, 2009.
  23. C. S. Jensen, H. Lu, B. Yang: Graph Model Based Indoor Tracking. 10th International Conference on Mobile Data Management (MDM), pages 122-131, 2009.
Spatial Databases and Moving Object Databases
  1. L. Li, M. A. Cheema, M. E. Ali, H. Lu, D. Taniar: Continuously Monitoring Alternative Shortest Paths on Road Networks. PVLDB 13(11):2243-2255, 2020.
  2. J. Xu, H. Lu, Z. Bao: IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects. PVLDB 13(12):2825-2828, 2020. (Presented in VLDB conference 2020) (Demo)
  3. P. Li, H. Lu, Q. Zheng, L. Yang, G. Pan: LISA: A Learned Index Structure for Spatial Data. ACM SIGMOD International Conference on Data Management (SIGMOD), pages 2119-2133, 2020.
  4. J. Xu, H. Lu, R. Hartmut GŁting: Understanding Human Mobility: A Multi-modal and Intelligent Moving Objects Database. 16th International Symposium on Spatial and Temporal Databases (SSTD), pages 222-225, 2019. (Vision paper)
  5. J. Xu, Z. Bao, H. Lu: Continuous Range Queries over Multi-Attribute Trajectories. 35th IEEE International Conference on Data Engineering (ICDE), pages 1610-1613, 2019.
  6. J. Zhang, P.-W. Harn, W.-S. Ku, M.-T. Sun, X. Qin, H. Lu, X. Jiang: An Overlapping Voronoi Diagram-based System for Multi-Criteria Optimal Location Queries. GeoInformatica 23(1):105-161, 2019.
  7. J. Xu, H. Lu, R. Hartmut GŁting: Range Queries on Multi-Attribute Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(6):1206-1211, 2018.
  8. J. Xu, H. Lu: Indexing and Querying a Large Database of Typed Intervals. 19th International Conference on Extending Database Technology (EDBT), pages 670-671, 2016. Poster paper.
  9. J. Zhang, W.-S. Ku, X. Jiang, X. Qin, M.-T. Sun, H. Lu: A Framework for Multi-Criteria Optimal Location Selection. 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), page 86, 2015. Demo paper.
  10. S. Shang, J. Liu, K. Zheng, H. Lu, T. Ba. Pedersen, J.-R. Wen: Planning unobstructed paths in traffic-aware spatial networks. GeoInformatica 19(4):723-746, 2015.
  11. J. Zhang, W.-S. Ku, M.-T. Sun, X. Qin and H. Lu: Multi-Criteria Optimal Location Query with Overlapping Voronoi Diagrams. 16th International Conference on Extending Database Technology (EDBT), pages 391-402, 2014.
  12. H. Jeung, H. Lu, S. Sathe, M. L. Yiu: Managing Evolving Uncertainty in Trajectory Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(7):1692-1705, 2014
  13. X. Xie, M. L. Yiu, R. Cheng, H. Lu: Scalable Evaluation of Trajectory Queries over Imprecise Location Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(8):2029-2044, 2014.
  14. C. Ma, H. Lu, L. Shou, G. Chen: KSQ: Top-k Similarity Query on Uncertain Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(9):2049-2062, 2013.
  15. M. L. Yiu, H. Lu, N. Mamoulis, M. Vaitis: Ranking Queries on Spatial Data with Quality Preferences. IEEE Transactions on Knowledge and Data Engineering (TKDE), 23(3):433-446, 2011.
  16. B. C. Ooi, Z. Huang, D. Lin, H. Lu, L. Xu: Adapting Relational Database Engine to Accommodate Moving Objects in SpADE. 23rd IEEE International Conference on Data Engineering (ICDE), pages 1505-1506, 2007. Demo paper.
  17. H. Li, H. Lu, B. Huang, Z. Huang: Two Ellipse-based Pruning Methods for Group Nearest Neighbor Queries. 13th ACM International Symposium on Advances in Geographic Information Systems (GIS), pages 192-199, 2005.
  18. B. Huang, Z. Huang, D. Lin, H. Lu, Y. Song, H. Li: ITQS: An Integrated Transport Query System. ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 951-952, 2004. Demo paper.
Social Data Management
  1. P. Li, H. Lu, Q. Zheng, S. Li, G. Pan: HisRect: Features from Historical Visits and Recent Tweet for Co-Location Judgement. IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted August 2019.
  2. F. Yu, L. Cui, W. Guo, X. Lu, Q. Li, H. Lu: A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. 31st Web Conference (WWW), pages 1264-1274, 2020.
  3. P. Li, H. Lu, G. Zheng, Q. Zheng, L. Yang, G. Pan: Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks. 30th Web Conference (WWW), pages 995-1005, 2019.
  4. P. Li, H. Lu, N. Kanhabua, S. Zhao, G. Pan: Location Inference for Non-geotagged Tweets in User Timelines. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(6):1150-1165, 2019.
  5. J. Chen, H. Lu, I. Keles, C. S. Jensen: Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying. 18th IEEE International Conference on Mobile Data Management (MDM), pages 62-71, 2017.
  6. J. Jiang, H. Lu, P. Li, G. Pan, X. Xie: Finding Influential Local Users with Similar Interest from Geo-tagged Social Media Data. 18th IEEE International Conference on Mobile Data Management (MDM), pages 82-91, 2017.
  7. H. Yin, B. Cui, H. Lu: Expert Team Finding for Review Assignment. 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 8 pages, 2016.
  8. J. Jiang, H. Lu, B. Yang, B. Cui: Finding Informative Locals from Geo-tagged Social Media Data. 31st IEEE International Conference on Data Engineering (ICDE), pages 267-278, 2015.
  9. W. Zhang, G. Qi, G. Pan, H. Lu, S. Li, Z. Wu: City-scale Social Event Detection and Evaluation with Taxi Traces. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 6(3):40, 2015.
  10. H. Yin, B. Cui, H. Lu, Y. Huang, J. Yao: A Unified Model for Stable and Temporal Topic Detection from Social Media Data. 29th IEEE International Conference on Data Engineering (ICDE), pages 661-672, 2013.
Skyline Queries and Related Problems
  1. W. Wang, Z. Gong, J. Zhang, H. Lu, W.-S. Ku: Preserving Location Privacy in Fingerprinting based Indoor Positioning System: An Encryption Approach. 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), pages 289-298, 2019.
  2. J. Zhang, W. Wang, X. Jiang, W.-S. Ku, H. Lu: An MBR-Oriented Approach for Efficient Skyline Query Processing. 35th IEEE International Conference on Data Engineering (ICDE), pages 806-817, 2019.
  3. H. Lu, M. L. Yiu, X. Xie: Querying Spatial Data by Dominators in Neighborhood. Information Systems (IS), 77:71-85, 2018.
  4. K. Mullesgaard, J. L. Pedersen, H. Lu and Y. Zhou: Efficient Skyline Computation in MapReduce. 16th International Conference on Extending Database Technology (EDBT), pages 37-48, 2014.
  5. H. Lu, Y. Zhou, J. Haustad: Efficient and Scalable Continuous Skyline Monitoring in Two-Tier Streaming Settings. Information Systems (IS), 38(1):68-81, 2013.
  6. H. Lu, C. S. Jensen: Upgrading Uncompetitive Products Economically. 28th IEEE International Conference on Data Engineering (ICDE), pages 977-988, 2012.
  7. H. Lu, C. S. Jensen, Z. Zhang: Flexible and Efficient Resolution of Skyline Query Size Constraints. IEEE Transactions on Knowledge and Data Engineering (TKDE), 23(7):991-1005, 2011.
  8. H. Lu, M. L. Yiu: On Computing Farthest Dominated Locations. IEEE Transactions on Knowledge and Data Engineering (TKDE), 23(6):928-941, 2011.
  9. L. Chen, B. Cui, H. Lu: Constrained Skyline Query Processing against Distributed Data Sites. IEEE Transactions on Knowledge and Data Engineering (TKDE), 23(2):204-217, 2011.
  10. Z. Zhang, H. Lu, B. C. Ooi, A. Tung: Understanding the Meaning of a Shifted Sky: A General Framework on Extending Skyline Query. The VLDB Journal, 19(2):181-201, 2010.
  11. B. Cui, L. Chen, L. Xu, H. Lu, G. Song, Q. Xu: Efficient Skyline Computation in Structured Peer-to-Peer Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(7):1059-1072, 2009.
  12. L. Chen, B. Cui, H. Lu, L. Xu, Q. Xu: iSky: Efficient and Progressive Skyline Computing in a Structured P2P Network. 28th IEEE International Conference on Distributed Computing Systems (ICDCS), pages 160-167, 2008.
  13. B. Cui, H. Lu, Q. Xu, L. Chen, Y. Dai, Y. Zhou: Parallel Distributed Processing of Constrained Skyline Queries by Filtering. 24th IEEE International Conference on Data Engineering (ICDE), pages 546-555, 2008.
  14. Z. Huang, H. Lu, B. C. Ooi, A. Tung: Continuous Skyline Queries for Moving Objects. IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(12):1645-1658, 2006.
  15. Z. Huang, C. S. Jensen, H. Lu, B. C. Ooi: Skyline Queries against Mobile Lightweight Devices in MANETs. 22nd IEEE International Conference on Data Engineering (ICDE), pages 66, 2006.
  16. Z. Zhang, X. Guo, H. Lu, A. Tung, N. Wang: Discovering Strong Skyline Points in High Dimensional Spaces. 14th ACM Conference on Information and Knowledge Management (CIKM), pages 247-248, 2005. Poster paper.
Privacy and Security
  1. K. Sakai, M.-T. Sun, W.-S. Ku, H. Lu, T. H. Lai: Data Verification in Integrated RFID Systems. IEEE Systems Journal, 13(2): 1969-1980, 2019.
  2. M. L. Yiu, C. S. Jensen, J. MÝller, H. Lu: Design and Analysis of a Ranking Approach to Private Location-Based Services. ACM Transactions on Database Systems (TODS), 36(2), 42 pages, 2011.
  3. H. Lu, C. S. Jensen, M. L. Yiu: PAD: Privacy-Area Aware, Dummy-Based Location Privacy in Mobile Services. 7th International ACM Workshop on Data Engineering for Wireless and Mobile Access (MobiDE), pages 16-23, 2008.
  4. M.L. Yiu, C. S. Jensen, X. Huang, H. Lu: SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services. 24th IEEE International Conference on Data Engineering (ICDE), pages 366-375, 2008.
  5. C. S. Jensen, H. Lu, M. L. Yiu: Location Privacy Techniques in Client-Server Architectures. Chapter 2, pages 31-58 in Privacy in Location-Based Applications, edited by C. Bettini, S. Jajodia, P. Samarati, and X. S. Wang, Springer Berlin/Heidelberg, 2009.

Last updated: Dec. 2020