Hua Lu's Selected Categorized Publications within Five Years [DBLP, Google Scholar]

1. P. Li, Y. Zhang, W. Wei, R. Zhu, B. Ding, J. Zhou, S. Hu, H. Lu: GRELA: Exploiting Graph Representation Learning in Effective Approximate Query Processing. VLDB J. 34(3):35, 2025. (Data and code)
2. P. Li, W. Wei, R. Zhu, B. Ding, J. Zhou, H. Lu: ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. VLDB 2024. (Data and code)
3. P. Li, H. Lu, R. Zhu, B. Ding, L. Yang, G. Pan: DILI: A Distribution-Driven Learned Index. VLDB 2023. (Data and code)
4. M. Liu, X. Wang, J. Xu, H. Lu: NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data. ACM SIGSPATIAL/GIS 2023.
5. X. Wang, M. Liu, J. Xu, H. Lu: NALMO: Transforming Queries in Natural Language for Moving Objects Databases. GeoInformatica 27(3):427-460, 2023.
6. X. Wang, J. Xu, H. Lu: NALMO: A Natural Language Interface for Moving Objects Databases. SSTD 2021.
7. P. Li, H. Lu, Q. Zheng, L. Yang, G. Pan: LISA: A Learned Index Structure for Spatial Data. ACM SIGMOD 2020. (Data and code)

1. X. Li, H. Li, H. Lu, C. S. Jensen, V. Pandey, V. Markl: Missing Value Imputation for Multi-attribute Sensor Data Streams via Message propagation. VLDB 2024. (Data and code)
2. X. Li, H. Li, H. K.-H. Chan, H. Lu, C. S. Jensen: Data Imputation for Sparse Radio Maps in Indoor Positioning. ICDE 2023. (Data and code)
3. H. Li, H. Lu, C. S. Jensen, B. Tang, M. A. Cheema: Spatial Data Quality in Internet of Things: Management, Exploitation, and Prospects. ACM Computing Surveys 55(3):57:1-57:41, 2023. (DOI)
4. H. Li, L. Yi, B. Tang, H. Lu, C. S. Jensen: Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments. VLDB 2022. (Data and code)

• Representation Learning for Spatial Data
  1. J. Li, H. Lu, C. Shahabi: STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks. TKDE (Accepted Dec. 2025)
  2. Z. Lai, H. Lu, H. Li, J. Li, C. S. Jensen: MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity. AAAI 2026. (Data and code)
  3. M. D. Siampou, J. Li, J. Krumm, C. Shahabi, H. Lu: Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications. ICML 2025. (Data and code)
  4. J. Li, T. Liu, H. Lu: CLEAR: Ranked Multi-Positive Contrastive Representation Learning for Robust Trajectory Similarity Computation. MDM 2024.
• Trajectory Data Management
  1. N. Bläser, B. B. Magnussen, G. Fuentes, H. Lu, L. Reinhardt: MATNEC: AIS Data-driven Environment-adaptive Maritime Traffic Network Construction for Realistic Route Generation. Transportation Research Part C: Emerging Technologies 169, 2024. (DOI)
  2. B. B. Magnussen, N. Bläser, H. Lu: DAISTIN: A Data-Driven AIS Trajectory Interpolation Method. SSTD 2023. (DOI)
  3. J. Xu, H. Lu, Z. Bao: A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM TIST 14(1):12:1-12:28, 2023.
  4. J. Xu, Z. Bao, H. Lu: A Framework to Support Continuous Range Queries Over Multi-Attribute Trajectories. TKDE 35(2):1119-1133, 2023.
• Data Mining and Analytics
  1. Y. Zhang, H. Lu, N. Liu, Y. Xu, Q. Li, L. Cui: Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024.
  2. H. K.-H. Chan, C. Long, D. Yan, R. C.-W. Wong, H. Lu: Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining. TKDE 36(4):1582-1596, 2024.
  3. T. Liu, H. Li, H. Lu, M. A. Cheema, H. Chan: Contact Tracing over Uncertain Indoor Positioning Data. TKDE 35(10):10324-10338, 2023. (Extended version)
  4. H. Li, T. Liu, H. K.-H. Chan, H. Lu: Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty. Frontiers Big Data 5, 2022.
  5. H. Li, H. Lu, A. Cheema, G. Chen, L. Shou: Indoor Mobility Semantics Annotation Using Coupled Relational Markov Networks. ICDE 2020.
  6. H. Li, H. Lu, L. Shou, G. Chen, K. Chen, Q. Chen: Towards Translating Raw Indoor Positioning Data into Mobility Semantics. ACM/IMS TDS 1(4):26:1-26:37, 2020.
• Routing
  1. H. K.-H. Chan, T. Liu, H. Li, H. Lu: Time-constrained indoor keyword-aware routing: foundations and extensions. GeoInformatica 27(3):375-426, 2023.
  2. T. Liu, Z. Feng, H. Li, H. Lu, M. A. Cheema, H. Cheng, J. Xu: Towards Indoor Temporal-variation aware Shortest Path Query. TKDE 35(1):998-1012, 2023.
  3. L. Li, M. A. Cheema, H. Lu, M. E. Ali, A. N. Toosi: Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks. TKDE 34(11):5552-5557, 2022.
  4. T. Liu, H. Li, H. Lu, M. A. Cheema, L. Shou: Towards Crowd-aware Indoor Path Planning. VLDB 2021. (Data and code)
  5. Z. Shao, M. A. Cheema, D. Tania, H. Lu, S. Yang: Efficiently Processing Spatial and Keyword Queries in Indoor Venues. TKDE 33(9):3229-3244, 2021.
  6. L. Li, M. A. Cheema, M. E. Ali, H. Lu, D. Taniar: Continuously Monitoring Alternative Shortest Paths on Road Networks. VLDB 2020.
  7. T. Liu, Z. Feng, H. Li, H. Lu, M. A. Cheema, H. Cheng, J. Xu: Shortest Path Queries for Indoor Venues with Temporal Variations. ICDE 2020.
  8. Z. Feng, T. Liu, H. Li, H. Lu, L. Shou, J. Xu: Indoor Top-k Keyword-aware Routing Query. ICDE 2020.
• Other LBS
  1. Y. Rayhan, T. Hashem, M. A. Cheema, H. Lu, M. E. Ali: An Efficient Approach for Indoor Facility Location Selection. EDBT 2023.
  2. H. Chan, H. Li, X. Li, H. Lu: Continuous Social Distance Monitoring in Indoor Space. VLDB 2022. (Data and code)
  3. P. Li, H. Lu, Q. Zheng, S. Li, G. Pan: HisRect: Features from Historical Visits and Recent Tweet for Co-Location Judgement. TKDE 33(3):1005-1018, 2021. (DOI)
  4. 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. WWW 2020. (Data and code)

1. Y. Yang, D. Zhang, Y. Liang, H. Lu, G. Chen, H. Li: Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting. NeurIPS 2025. (Data and code)
2. Z. Lai, D. Zhang, H. Li, C. S. Jensen, H. Lu, Y. Zhao: LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation. TKDE (accepted in June 2024).
3. Z. Lai, D. Zhang, H. Li, D. Zhang, H. Lu, C. S. Jensen: ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions. KDD 2024
4. Z. Lai, D. Zhang, H. Li, C. S. Jensen, H. Lu, Y. Zhao: LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. SIGMOD 2023.
5. F. Yu, L. Cui, H. Chen, Y. Cao, N. Liu, W. Huang, Y. Xu, H. Lu: HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE TNNLS 34(10):6940-6954, 2023.