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