Reynold Cheng

Orcid: 0000-0002-9480-9809

Affiliations:
  • University of Hong Kong


According to our database1, Reynold Cheng authored at least 212 papers between 1999 and 2024.

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Bibliography

2024
A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs.
Proc. VLDB Endow., July, 2024

Mobility Data Science: Perspectives and Challenges.
ACM Trans. Spatial Algorithms Syst., June, 2024

ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model.
Proc. VLDB Endow., March, 2024

Accelerating directed densest subgraph queries with software and hardware approaches.
VLDB J., January, 2024

Multi-order graph clustering with adaptive node-level weight learning.
Pattern Recognit., 2024

FDM: Effective and efficient incident detection on sparse trajectory data.
Inf. Syst., 2024

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training.
CoRR, 2024

Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents.
CoRR, 2024

A Survey on Knowledge Distillation of Large Language Models.
CoRR, 2024

HINCare: An Intelligent Helper Recommender System for Elderly Care.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Debiasing Recommendation with Personal Popularity.
Proceedings of the ACM on Web Conference 2024, 2024

From Motif to Path: Connectivity and Homophily.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Unlocking Continual Learning Abilities in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
MOSER: Scalable Network Motif Discovery using Serial Test.
Proc. VLDB Endow., November, 2023

PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM.
IEEE Trans. Knowl. Data Eng., October, 2023

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges.
Proc. VLDB Endow., 2023

A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull., 2023

Spatio-temporal flow patterns.
CoRR, 2023

Towards Mobility Data Science (Vision Paper).
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
CoRR, 2023

Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Density Visualization for Big Geospatial Data: Algorithms and Applications.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A framework for differentially-private knowledge graph embeddings.
J. Web Semant., 2022

Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach.
IEEE Trans. Parallel Distributed Syst., 2022

Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Algorithms for Kernel Aggregation Queries.
IEEE Trans. Knowl. Data Eng., 2022

The Social Technology and Research (STAR) Lab in the University of Hong Kong.
SIGMOD Rec., 2022

Finding Locally Densest Subgraphs: A Convex Programming Approach.
Proc. VLDB Endow., 2022

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection.
Proc. VLDB Endow., 2022

Mobility Data Science (Dagstuhl Seminar 22021).
Dagstuhl Reports, 2022

A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modeling Long-Range Travelling Times with Big Railway Data.
Proceedings of the Database Systems for Advanced Applications, 2022

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Guest editorial: WWWJ special issue of the 20th international conference on Web information systems engineering (WISE 2019).
World Wide Web, 2021

On Directed Densest Subgraph Discovery.
ACM Trans. Database Syst., 2021

GLAD: A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries.
IEEE Trans. Knowl. Data Eng., 2021

Efficient Directed Densest Subgraph Discovery.
SIGMOD Rec., 2021

Fast Augmentation Algorithms for Network Kernel Density Visualization.
Proc. VLDB Endow., 2021

KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis.
Proc. VLDB Endow., 2021

On Analyzing Graphs with Motif-Paths.
Proc. VLDB Endow., 2021

Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks.
CoRR, 2021

Achieving low tail-latency and high scalability for serializable transactions in edge computing.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2020
Correction: A survey of community search over big graphs.
VLDB J., 2020

A survey of community search over big graphs.
VLDB J., 2020

A Crowdsourcing Framework for Collecting Tabular Data.
IEEE Trans. Knowl. Data Eng., 2020

ROAM: A Fundamental Routing Query on Road Networks with Efficiency.
IEEE Trans. Knowl. Data Eng., 2020

Discriminative Streaming Network Embedding.
Knowl. Based Syst., 2020

An ML-Powered Human Behavior Management System.
IEEE Data Eng. Bull., 2020

Editorial of Special Issue of WISE 2019.
Data Sci. Eng., 2020

TSA: A Truthful Mechanism for Social Advertising.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

SCODED: Statistical Constraint Oriented Data Error Detection.
Proceedings of the 2020 International Conference on Management of Data, 2020

Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

QUAD: Quadratic-Bound-based Kernel Density Visualization.
Proceedings of the 2020 International Conference on Management of Data, 2020

Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases.
Proceedings of the Legal Knowledge and Information Systems, 2020

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Traffic Incident Detection: A Trajectory-based Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A General Early-Stopping Module for Crowdsourced Ranking.
Proceedings of the Database Systems for Advanced Applications, 2020

A Toolkit for Managing Multiple Crowdsourced Top-K Queries.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

M-Cypher: A GQL Framework Supporting Motifs.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Evaluating pattern matching queries for spatial databases.
VLDB J., 2019

Effective and Efficient Community Search Over Large Directed Graphs.
IEEE Trans. Knowl. Data Eng., 2019

On Spatial-Aware Community Search.
IEEE Trans. Knowl. Data Eng., 2019

Exploring Communities in Large Profiled Graphs.
IEEE Trans. Knowl. Data Eng., 2019

Spatial pattern matching: a new direction for finding spatial objects.
ACM SIGSPATIAL Special, 2019

LINC: A Motif Counting Algorithm for Uncertain Graphs.
Proc. VLDB Endow., 2019

Efficient Algorithms for Densest Subgraph Discovery.
Proc. VLDB Endow., 2019

Detecting Data Errors with Statistical Constraints.
CoRR, 2019

Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows.
Proceedings of the 48th International Conference on Parallel Processing, 2019

MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

An Efficient Framework for Correctness-Aware kNN Queries on Road Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploring Communities in Large Profiled Graphs (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Indexing Uncertain Data.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Uncertainty Management in Sensor Networks.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Probabilistic Spatial Queries.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Uncertain Spatial Data Management.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Entropy-Based Scheduling Policy for Cross Aggregate Ranking Workloads.
IEEE Trans. Serv. Comput., 2018

Entity-Based Query Recommendation for Long-Tail Queries.
ACM Trans. Knowl. Discov. Data, 2018

TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks.
Proc. VLDB Endow., 2018

STEM: a suffix tree-based method for web data records extraction.
Knowl. Inf. Syst., 2018

Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

T-Crowd: Effective Crowdsourcing for Tabular Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

SpaceKey: Exploring Patterns in Spatial Databases.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On Spatial Pattern Matching.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Evaluation of k-NN Queries on Large Uncertain Graphs.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Maximizing Social Influence for the Awareness Threshold Model.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Spatial Data, Indexing Techniques.
Proceedings of the Encyclopedia of GIS., 2017

Effective and efficient attributed community search.
VLDB J., 2017

An Indexing Framework for Queries on Probabilistic Graphs.
ACM Trans. Database Syst., 2017

On Minimal Steiner Maximum-Connected Subgraph Queries.
IEEE Trans. Knowl. Data Eng., 2017

Efficient Pattern-Based Aggregation on Sequence Data.
IEEE Trans. Knowl. Data Eng., 2017

Truth Inference in Crowdsourcing: Is the Problem Solved?
Proc. VLDB Endow., 2017

Effective Community Search over Large Spatial Graphs.
Proc. VLDB Endow., 2017

C-Explorer: Browsing Communities in Large Graphs.
Proc. VLDB Endow., 2017

Efficient processing of shortest path queries in evolving graph sequences.
Inf. Syst., 2017

Uncertain Voronoi cell computation based on space decomposition.
GeoInformatica, 2017

Reliable Retrieval of Top-k Tags.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

On Attributed Community Search.
Proceedings of the Mobility Analytics for Spatio-Temporal and Social Data, 2017

Crowdsourced Data Management: Overview and Challenges.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SEQ: Example-based Query for Spatial Objects.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

On Embedding Uncertain Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Meta Paths and Meta Structures: Analysing Large Heterogeneous Information Networks.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2016

Managing uncertainty of large spatial databases.
ACM SIGSPATIAL Special, 2016

DOCS: Domain-Aware Crowdsourcing System.
Proc. VLDB Endow., 2016

Effective Community Search for Large Attributed Graphs.
Proc. VLDB Endow., 2016

SMe: explicit & implicit constrained-space probabilistic threshold range queries for moving objects.
GeoInformatica, 2016

Fast and Semantic Measurements on Collaborative Tagging Quality.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Crowdsourced POI labelling: Location-aware result inference and Task Assignment.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

KB-Enabled Query Recommendation for Long-Tail Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Walking in the Cloud: Parallel SimRank at Scale.
Proc. VLDB Endow., 2015

On using broadcast index for efficient execution of shortest path continuous queries.
Inf. Syst., 2015

Special issue on spatial and temporal database management.
GeoInformatica, 2015

Guest Editorial: Special Issue on Databases and Crowdsourcing.
Distributed Parallel Databases, 2015

Online Influence Maximization (Extended Version).
CoRR, 2015

Discovering Meta-Paths in Large Heterogeneous Information Networks.
Proceedings of the 24th International Conference on World Wide Web, 2015

Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Online Influence Maximization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On Optimality of Jury Selection in Crowdsourcing.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

2014
Scalable Evaluation of Trajectory Queries over Imprecise Location Data.
IEEE Trans. Knowl. Data Eng., 2014

Evaluating multi-way joins over discounted hitting time.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

iTag: Incentive-based tagging.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Managing uncertainty in spatial and spatio-temporal data.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

CLUDE: An Efficient Algorithm for LU Decomposition Over a Sequence of Evolving Graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Uncertain Data Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
UV-diagram: a voronoi diagram for uncertain spatial databases.
VLDB J., 2013

Earth Mover's Distance based Similarity Search at Scale.
Proc. VLDB Endow., 2013

Model-based probabilistic frequent itemset mining.
Knowl. Inf. Syst., 2013

Probabilistic filters: A stream protocol for continuous probabilistic queries.
Inf. Syst., 2013

Privacy Preserving Path Recommendation for Moving User on Location Based Service.
Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

Voronoi-based nearest neighbor search for multi-dimensional uncertain databases.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

On incentive-based tagging.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Cleaning uncertain data for top-k queries.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Optimizing plurality for human intelligence tasks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Fast evaluation of iceberg pattern-based aggregate queries.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Managing Quality of Probabilistic Databases.
Proceedings of the Handbook of Data Quality, Research and Practice., 2013

2012
Efficient management of uncertainty in XML schema matching.
VLDB J., 2012

Efficient Mining of Frequent Item Sets on Large Uncertain Databases.
IEEE Trans. Knowl. Data Eng., 2012

Evaluating Trajectory Queries over Imprecise Location Data.
Proceedings of the Scientific and Statistical Database Management, 2012

Evaluating Probabilistic Queries over Uncertain Matching.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

A Framework for Conditioning Uncertain Relational Data.
Proceedings of the Database and Expert Systems Applications, 2012

DQR: a probabilistic approach to diversified query recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A filter-based protocol for continuous queries over imprecise location data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Processing Continuous Range Queries with Spatiotemporal Tolerance.
IEEE Trans. Mob. Comput., 2011

On Link-based Similarity Join.
Proc. VLDB Endow., 2011

On Querying Historical Evolving Graph Sequences.
Proc. VLDB Endow., 2011

Metric and trigonometric pruning for clustering of uncertain data in 2D geometric space.
Inf. Syst., 2011

CubeLSI: An effective and efficient method for searching resources in social tagging systems.
Proceedings of the 27th International Conference on Data Engineering, 2011

I/O-efficient algorithms for answering pattern-based aggregate queries in a sequence OLAP system.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Filtering Data Streams for Entity-Based Continuous Queries.
IEEE Trans. Knowl. Data Eng., 2010

Guest Editors' Introduction: Special Section on Mining Large Uncertain and Probabilistic Databases.
IEEE Trans. Knowl. Data Eng., 2010

Similarity Search and Mining in Uncertain Databases.
Proc. VLDB Endow., 2010

Explore or Exploit? Effective Strategies for Disambiguating Large Databases.
Proc. VLDB Endow., 2010

Mining uncertain data with probabilistic guarantees.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

UV-diagram: A Voronoi diagram for uncertain data.
Proceedings of the 26th International Conference on Data Engineering, 2010

Managing uncertainty of XML schema matching.
Proceedings of the 26th International Conference on Data Engineering, 2010

Evaluating Continuous Probabilistic Queries Over Imprecise Sensor Data.
Proceedings of the Database Systems for Advanced Applications, 2010

On-Line Preferential Nearest Neighbor Browsing in Large Attributed Graphs.
Proceedings of the Database Systems for Advanced Applications, 2010

Accelerating probabilistic frequent itemset mining: a model-based approach.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Data Uncertainty Management in Sensor Networks.
Proceedings of the Encyclopedia of Database Systems, 2009

Probabilistic Spatial Queries.
Proceedings of the Encyclopedia of Database Systems, 2009

Scalable processing of snapshot and continuous nearest-neighbor queries over one-dimensional uncertain data.
VLDB J., 2009

Location Privacy in Moving-Object Environments.
Trans. Data Priv., 2009

Minimizing the communication cost for continuous skyline maintenance.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Querying and Cleaning Uncertain Data.
Proceedings of the Quality of Context, First International Workshop, 2009

A Probabilistic Filter Protocol for Continuous Queries.
Proceedings of the Quality of Context, First International Workshop, 2009

Naive Bayes Classification of Uncertain Data.
Proceedings of the ICDM 2009, 2009

Evaluating probability threshold k-nearest-neighbor queries over uncertain data.
Proceedings of the EDBT 2009, 2009

2008
Spatial Data, Indexing Techniques.
Proceedings of the Encyclopedia of GIS., 2008

Cleaning uncertain data with quality guarantees.
Proc. VLDB Endow., 2008

Indexing continuously changing data with mean-variance tree.
Int. J. High Perform. Comput. Netw., 2008

Quality-Aware Probing of Uncertain Data with Resource Constraints.
Proceedings of the Scientific and Statistical Database Management, 2008

Database Support for Probabilistic Attributes and Tuples.
Proceedings of the 24th International Conference on Data Engineering, 2008

Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data.
Proceedings of the 24th International Conference on Data Engineering, 2008

Position transformation: a location privacy protection method for moving objects.
Proceedings of the SIGSPATIAL ACM GIS 2008 International Workshop on Security and Privacy in GIS and LBS, 2008

2007
Range search on multidimensional uncertain data.
ACM Trans. Database Syst., 2007

A statistics-based sensor selection scheme for continuous probabilistic queries in sensor networks.
Real Time Syst., 2007

An efficient location update mechanism for continuous queries over moving objects.
Inf. Syst., 2007

Evaluation of probabilistic queries over imprecise data in constantly-evolving environments.
Inf. Syst., 2007

Energy-Efficient Monitoring of Mobile Objects with Uncertainty-Aware Tolerances.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

Reducing UK-Means to K-Means.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Efficient Evaluation of Imprecise Location-Dependent Queries.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Preserving User Location Privacy in Mobile Data Management Infrastructures.
Proceedings of the Privacy Enhancing Technologies, 6th International Workshop, 2006

Uncertain Data Mining: An Example in Clustering Location Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Efficient Clustering of Uncertain Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Efficient join processing over uncertain data.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

U-DBMS: A Database System for Managing Constantly-Evolving Data.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Adaptive Stream Filters for Entity-based Queries with Non-Value Tolerance.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Change Tolerant Indexing for Constantly Evolving Data.
Proceedings of the 21st International Conference on Data Engineering, 2005

Sensors, Uncertainty Models, and Probabilistic Queries.
Proceedings of the Encyclopedia of Database Technologies and Applications, 2005

2004
Querying Imprecise Data in Moving Object Environments.
IEEE Trans. Knowl. Data Eng., 2004

Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Sensor node selection for execution of continuous probabilistic queries in wireless sensor networks.
Proceedings of the ACM 2nd International Workshop on Video Surveillance & Sensor Networks, 2004

2003
Maintaining Temporal Consistency of Discrete Objects in Soft Real-Time Database Systems.
IEEE Trans. Computers, 2003

Managing uncertainty in sensor database.
SIGMOD Rec., 2003

Evaluating Probabilistic Queries over Imprecise Data.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

2002
Evaluation of concurrency control strategies for mixed soft real-time database systems.
Inf. Syst., 2002

2001
Disk Scheduling.
Proceedings of the Real-Time Database Systems: Architecture and Techniques, 2001

1999
Updates and View Maintenance in Soft Real-Time Database Systems.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999


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