Hua Lu's Selected Publications by Topic [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. M. Liu, X. Wang, J. Xu, H. Lu, Y. Tong: NALSpatial: A Natural Language Interface for Spatial Databases. IEEE TKDE 37(4): 2056-2070, 2025.
3. 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)
4. P. Li, H. Lu, R. Zhu, B. Ding, L. Yang, G. Pan: DILI: A Distribution-Driven Learned Index. VLDB 2023. (Data and code)
5. M. Liu, X. Wang, J. Xu, H. Lu: NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data. ACM SIGSPATIAL/GIS 2023.
6. X. Wang, M. Liu, J. Xu, H. Lu: NALMO: Transforming Queries in Natural Language for Moving Objects Databases. GeoInformatica 27(3):427-460, 2023.
7. X. Wang, J. Xu, H. Lu: NALMO: A Natural Language Interface for Moving Objects Databases. SSTD 2021.
8. P. Li, H. Lu, Q. Zheng, L. Yang, G. Pan: LISA: A Learned Index Structure for Spatial Data. ACM SIGMOD 2020. (Data and code)
9. H. Wang, X. Fu, J. Xu, H. Lu: Learned Index for Spatial Queries. MDM 2019

• Representation Learning for Spatial Data
  1. J. Li, H. Lu, T. Liu, Z. Lai, P. Li: LATTE: Learning Adaptive Segmentation for Efficient and Effective Trajectory Similarity Learning. KDD 2026.
  2. S. B. Yang, Y. Sun, J. Hu, Z. Xu, K. Torp, H. Lu, B. Yang, C. S. Jensen: REFINE: Trajectory Representation Learning via Closed-Loop Transcription. KDD 2026.
  3. S. B. Yang, H. Miao, Z. Xu, J. Hu, H. Lu, B. Yang, C. S. Jensen: DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning. IJCAI 2026.
  4. J. Li, H. Lu, C. Shahabi: STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks. TKDE 38(3):1986-2000, 2026.
  5. Z. Lai, H. Lu, H. Li, J. Li, C. S. Jensen: MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity. AAAI 2026. (Data and code)
  6. 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)
  7. 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.
• Traffic Prediction
  1. Y. Zhang, H. Lu, N. Liu, L. Cui, Y. Xu, Y. Zhao, Q. Li: Sofed: A Swift Online Federated Graph Learning Framework for Traffic Streaming Data Prediction. T-ITS 27(5):5546-5559, 2026. (DOI)
  2. Y. Zhang, H. Lu, N. Liu, Y. Xu, Q. Li, L. Cui: Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024.
• Data Mining and Analytics
  1. 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.
  2. 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)
  3. 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.
  4. H. Li, H. Lu, A. Cheema, G. Chen, L. Shou: Indoor Mobility Semantics Annotation Using Coupled Relational Markov Networks. ICDE 2020.
  5. 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. B. Mei, Y. Li, H. Lu, W. Chen, L. Chen, J. Xu: Efficient Task Planning for Complex Orders in Robotized Warehouses. TKDE (Accepted in May 2026).
  2. J. Chen, F. Zhang, H. Li, H. Lu, K. Wei, S. Wang, C. S. Jensen: M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation. TKDE 38(6):3751-3764, 2026.
  3. Y. Rayhan, T. Hashem, M. A. Cheema, H. Lu, M. E. Ali: An Efficient Approach for Indoor Facility Location Selection. EDBT 2023.
  4. H. Chan, H. Li, X. Li, H. Lu: Continuous Social Distance Monitoring in Indoor Space. VLDB 2022. (Data and code)
  5. 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)
  6. 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. 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)

1. Y. Liu, S. Ma, H. Lu, X. Cheng, X. Liu, H. Huo: TRIAD: Ternary Information Routing for Multimodal Time-Series Sensing Signals. KDD 2026.
2. Y. Liu, Z. Lai, H. Lu, X. Cheng, X. Liu, H. Huo: Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learning. IJCAI 2026.
3. Y. Liu, Z. Lai, H. Lu, X. Cheng, T. Zhu, X. Liu, H. Huo: SAURL-TS: A Self-Adaptive Framework for Unsupervised Time Series Representation Learning. Pattern Recognition, 175:113129, 2026. (DOI)
4. 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)
5. Z. Lai, D. Zhang, H. Li, C. S. Jensen, H. Lu, Y. Zhao: LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation. TKDE 36(12): 8695-8710, 2024.
6. 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
7. Z. Lai, D. Zhang, H. Li, C. S. Jensen, H. Lu, Y. Zhao: LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. SIGMOD 2023.

1. 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.