Publications

Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data
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Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
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Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
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Revisiting CNNs for Trajectory Similarity Learning
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ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
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Preventing the Popular Item Embedding Based Attack in Federated Recommendations
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PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation
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Modeling and Monitoring of Indoor Populations using Sparse Positioning Data (Extension)
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LightTR: A Lightweight Framework for Federated Trajectory Recovery
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LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation
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KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
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EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation
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E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
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Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
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Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract)
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BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification
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Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing
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TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features
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Towards Indoor Temporal-Variation Aware Shortest Path Query
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Time-constrained indoor keyword-aware routing: foundations and extensions
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Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects
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Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation
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LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
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FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training
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Efficiently computing alternative paths in game maps
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Data Imputation for Sparse Radio Maps in Indoor Positioning
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Contact Tracing Over Uncertain Indoor Positioning Data
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Spatial Data Quality in the IoT Era: Management and Exploitation
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Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty
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IKAROS: An Indoor Keyword-Aware Routing System
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GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing
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GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive
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Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments
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Diverse Shortest Paths in Game Maps: A Comparative User Study and Experiments
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Continuous Social Distance Monitoring in Indoor Space
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Towards Crowd-aware Indoor Path Planning
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Time-Constrained Indoor Keyword-aware Routing
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Indoor Spatial Queries: Modeling, Indexing, and Processing
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Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT
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Toward Translating Raw Indoor Positioning Data into Mobility Semantics
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Shortest Path Queries for Indoor Venues with Temporal Variations
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Indoor Top-k Keyword-aware Routing Query
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Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks
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Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data
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TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics
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In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data
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Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings
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E(^mbox2)C(^mbox2): efficient and effective camera calibration in indoor environments
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