2025
ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries.
CoRR, January, 2025
2024
Managing Metaverse Data Tsunami: Actionable Insights.
IEEE Trans. Knowl. Data Eng., December, 2024
Sharing Information with Differential Privacy: A Database Perspective.
Proc. VLDB Endow., August, 2024
On Data Distribution Leakage in Cross-Silo Federated Learning.
IEEE Trans. Knowl. Data Eng., July, 2024
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
Proc. VLDB Endow., July, 2024
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
Proc. VLDB Endow., May, 2024
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.
Proc. VLDB Endow., April, 2024
Performance-Based Pricing of Federated Learning via Auction.
Proc. VLDB Endow., February, 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective.
IEEE Trans. Inf. Forensics Secur., 2024
Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2024
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates.
Digit. Commun. Networks, 2024
Hyperparametric Robust and Dynamic Influence Maximization.
CoRR, 2024
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint.
CoRR, 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms.
CoRR, 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.
CoRR, 2024
Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains.
CoRR, 2024
NeurDB: An AI-powered Autonomous Data System.
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CoRR, 2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.
Proceedings of the ACM on Web Conference 2024, 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach.
Proceedings of the ACM on Web Conference 2024, 2024
Information Diffusion Meets Invitation Mechanism.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Protecting Label Distribution in Cross-Silo Federated Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Optimal Batched Best Arm Identification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Predicting Cascading Failures with a Hyperparametric Diffusion Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Graph Computation with Adaptive Granularity.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs.
Proceedings of the Database Systems for Advanced Applications, 2024
Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
PANE: scalable and effective attributed network embedding.
VLDB J., November, 2023
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph.
Trans. Mach. Learn. Res., 2023
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency.
Proc. VLDB Endow., 2023
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow., 2023
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy.
Proc. ACM Manag. Data, 2023
Effective and Efficient PageRank-based Positioning for Graph Visualization.
Proc. ACM Manag. Data, 2023
SeRaNDiP: Leveraging Inherent Sensor Random Noise for Differential Privacy Preservation in Wearable Community Sensing Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization.
CoRR, 2023
Node-wise Diffusion for Scalable Graph Learning.
Proceedings of the ACM Web Conference 2023, 2023
Efficient Approximation Algorithms for Spanning Centrality.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Efficient and Effective Edge-wise Graph Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Capacity Constrained Influence Maximization in Social Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Thompson Sampling with Less Exploration is Fast and Optimal.
Proceedings of the International Conference on Machine Learning, 2023
The Metaverse Data Deluge: What Can We Do About It?
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2022
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks.
IEEE Trans. Knowl. Data Eng., 2022
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
SIGMOD Rec., 2022
Approximating Probabilistic Group Steiner Trees in Graphs.
Proc. VLDB Endow., 2022
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
Proc. VLDB Endow., 2022
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Neural Comput. Appl., 2022
ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks.
Inf. Sci., 2022
GlassDB: Practical Verifiable Ledger Database Through Transparency.
CoRR, 2022
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective.
CoRR, 2022
Scalable and Effective Bipartite Network Embedding.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Measuring Friendship Closeness: A Perspective of Social Identity Theory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Feature Inference Attack on Shapley Values.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
A Fusion-Denoising Attack on InstaHide with Data Augmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Signed Clique Search in Signed Networks: Concepts and Algorithms.
IEEE Trans. Knowl. Data Eng., 2021
Privacy-Preserving Stochastic Gradual Learning.
IEEE Trans. Knowl. Data Eng., 2021
Incremental Community Detection on Large Complex Attributed Network.
ACM Trans. Knowl. Discov. Data, 2021
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights.
Proc. VLDB Endow., 2021
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow., 2021
Data Synthesis via Differentially Private Markov Random Field.
Proc. VLDB Endow., 2021
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.
Proc. VLDB Endow., 2021
Synthetic Data Generation with Differential Privacy via Bayesian Networks.
J. Priv. Confidentiality, 2021
PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank.
CoRR, 2021
Effective and Scalable Clustering on Massive Attributed Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Fast Approximate All Pairwise CoSimRanks via Random Projection.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
EIGNN: Efficient Infinite-Depth Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021
Optimal Streaming Algorithms for Multi-Armed Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021
MOTS: Minimax Optimal Thompson Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021
Feature Inference Attack on Model Predictions in Vertical Federated Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Exploiting Explanations for Model Inversion Attacks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Double Explore-then-Commit: Asymptotic Optimality and Beyond.
Proceedings of the Conference on Learning Theory, 2021
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
FERRARI: an efficient framework for visual exploratory subgraph search in graph databases.
VLDB J., 2020
Finding skyline communities in multi-valued networks.
VLDB J., 2020
Efficient approximation algorithms for adaptive influence maximization.
VLDB J., 2020
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.
IEEE Trans. Knowl. Data Eng., 2020
ROAM: A Fundamental Routing Query on Road Networks with Efficiency.
IEEE Trans. Knowl. Data Eng., 2020
The Disruptions of 5G on Data-Driven Technologies and Applications.
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IEEE Trans. Knowl. Data Eng., 2020
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks.
IEEE Trans. Knowl. Data Eng., 2020
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine.
IEEE Trans. Big Data, 2020
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow., 2020
Scaling Attributed Network Embedding to Massive Graphs.
Proc. VLDB Endow., 2020
Privacy Preserving Vertical Federated Learning for Tree-based Models.
Proc. VLDB Endow., 2020
Hunting multiple bumps in graphs.
Proc. VLDB Endow., 2020
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
Proc. VLDB Endow., 2020
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.
CoRR, 2020
Forecasting the number of firefighter interventions per region with local-differential-privacy-based data.
Comput. Secur., 2020
Analysis of Indexing Structures for Immutable Data.
Proceedings of the 2020 International Conference on Management of Data, 2020
LATTE: Visual Construction of Smart Contracts.
Proceedings of the 2020 International Conference on Management of Data, 2020
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy.
Proceedings of the Privacy and Identity Management: 15th IFIP WG 9.2, 2020
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Towards Locally Differentially Private Generic Graph Metric Estimation.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Efficient Approximation Algorithms for Adaptive Target Profit Maximization.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst., 2019
Organizing an Influential Social Event Under a Budget Constraint.
IEEE Trans. Knowl. Data Eng., 2019
Realtime Top-k Personalized PageRank over Large Graphs on GPUs.
Proc. VLDB Endow., 2019
Efficient and Effective Algorithms for Clustering Uncertain Graphs.
Proc. VLDB Endow., 2019
Millionaire: a hint-guided approach for crowdsourcing.
Mach. Learn., 2019
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
CoRR, 2019
Efficient Estimation of Heat Kernel PageRank for Local Clustering.
Proceedings of the 2019 International Conference on Management of Data, 2019
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019
Efficient Approximation Algorithms for Adaptive Seed Minimization.
Proceedings of the 2019 International Conference on Management of Data, 2019
Efficient Pure Exploration in Adaptive Round model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Community Detection on Large Complex Attribute Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Efficient Batch One-Hop Personalized PageRanks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
2018
Optimal algorithms for selecting top-k combinations of attributes: theory and applications.
VLDB J., 2018
Persisting RB-Tree into NVM in a Consistency Perspective.
ACM Trans. Storage, 2018
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2018
DANTE: Data and Information Management Research at Nanyang Technological University.
SIGMOD Rec., 2018
Efficient Algorithms for Adaptive Influence Maximization.
Proc. VLDB Endow., 2018
PTRider: A Price-and-Time-Aware Ridesharing System.
Proc. VLDB Endow., 2018
Influence Maximization in Online Social Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
Proceedings of the 2018 International Conference on Management of Data, 2018
Online Processing Algorithms for Influence Maximization.
Proceedings of the 2018 International Conference on Management of Data, 2018
Skyline Community Search in Multi-valued Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018
A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data.
Proceedings of the IEEE International Smart Cities Conference, 2018
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Efficient Signed Clique Search in Signed Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Budget-Constrained Organization of Influential Social Events.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Price-and-Time-Aware Dynamic Ridesharing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Maximizing Social Influence for the Awareness Threshold Model.
Proceedings of the Database Systems for Advanced Applications, 2018
2017
Optimal Location Queries on Road Networks.
Proceedings of the Encyclopedia of GIS., 2017
PrivBayes: Private Data Release via Bayesian Networks.
ACM Trans. Database Syst., 2017
Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
Proc. VLDB Endow., 2017
Revisiting the Stop-and-Stare Algorithms for Influence Maximization.
Proc. VLDB Endow., 2017
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.
Knowl. Inf. Syst., 2017
Cost-Effective Seed Selection in Online Social Networks.
CoRR, 2017
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".
CoRR, 2017
FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
GraphH: High Performance Big Graph Analytics in Small Clusters.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Generating Synthetic Decentralized Social Graphs with Local Differential Privacy.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
HubPPR: Effective Indexing for Approximate Personalized PageRank.
Proc. VLDB Endow., 2016
Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
Proc. VLDB Endow., 2016
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy.
CoRR, 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
Proceedings of the 2016 International Conference on Management of Data, 2016
SLING: A Near-Optimal Index Structure for SimRank.
Proceedings of the 2016 International Conference on Management of Data, 2016
Keyword-aware continuous kNN query on road networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Practical private shortest path computation based on Oblivious Storage.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016
2015
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015
Boosting the Quality of Approximate String Matching by Synonyms.
ACM Trans. Database Syst., 2015
Towards Maximum Independent Sets on Massive Graphs.
Proc. VLDB Endow., 2015
Deterministic identification of specific individuals from GWAS results.
Bioinform., 2015
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Private Release of Graph Statistics using Ladder Functions.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Crowd-Based Deduplication: An Adaptive Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Efficient Route Planning on Public Transportation Networks: A Labelling Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Influence Maximization in Near-Linear Time: A Martingale Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
2014
Dynamic monitoring of optimal locations in road network databases.
VLDB J., 2014
Differentially Private Event Sequences over Infinite Streams.
Proc. VLDB Endow., 2014
Software process evaluation: a machine learning framework with application to defect management process.
Empir. Softw. Eng., 2014
Reachability queries on large dynamic graphs: a total order approach.
Proceedings of the International Conference on Management of Data, 2014
Influence maximization: near-optimal time complexity meets practical efficiency.
Proceedings of the International Conference on Management of Data, 2014
AR-miner: mining informative reviews for developers from mobile app marketplace.
Proceedings of the 36th International Conference on Software Engineering, 2014
Large-scale frequent subgraph mining in MapReduce.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014
2013
Differentially private histogram publication.
VLDB J., 2013
Shortest path and distance queries on road networks: towards bridging theory and practice.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
PrivGene: differentially private model fitting using genetic algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Minimal MapReduce algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Efficient single-source shortest path and distance queries on large graphs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
LSII: An indexing structure for exact real-time search on microblogs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
KORS: Keyword-aware Optimal Route Search System.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Secure nearest neighbor revisited.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
2012
Publishing Search Logs - A Comparative Study of Privacy Guarantees.
IEEE Trans. Knowl. Data Eng., 2012
Functional Mechanism: Regression Analysis under Differential Privacy.
Proc. VLDB Endow., 2012
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation.
Proc. VLDB Endow., 2012
Keyword-aware Optimal Route Search.
Proc. VLDB Endow., 2012
Differential privacy in data publication and analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Differentially Private Histogram Publication.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Obfuscating the Topical Intention in Enterprise Text Search.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
An efficient algorithm for mapping vehicle trajectories onto road networks.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
Efficient algorithms for generalized subgraph query processing.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Encyclopedia of Cryptography and Security, 2nd Ed., 2011
Differential Privacy via Wavelet Transforms.
IEEE Trans. Knowl. Data Eng., 2011
iReduct: differential privacy with reduced relative errors.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
GBLENDER: visual subgraph query formulation meets query processing.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
Software process evaluation: A machine learning approach.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011
Optimal location queries in road network databases.
Proceedings of the 27th International Conference on Data Engineering, 2011
2010
Transparent anonymization: Thwarting adversaries who know the algorithm.
ACM Trans. Database Syst., 2010
Superseding Nearest Neighbor Search on Uncertain Spatial Databases.
IEEE Trans. Knowl. Data Eng., 2010
Embellishing Text Search Queries To Protect User Privacy.
Proc. VLDB Endow., 2010
GBLENDER: towards blending visual query formulation and query processing in graph databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
Correlation hiding by independence masking.
Proceedings of the 26th International Conference on Data Engineering, 2010
The hardness and approximation algorithms for l-diversity.
Proceedings of the EDBT 2010, 2010
2009
ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication.
IEEE Trans. Knowl. Data Eng., 2009
Optimal Random Perturbation at Multiple Privacy Levels.
Proc. VLDB Endow., 2009
Interactive anonymization of sensitive data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009
Privacy Preserving Publishing on Multiple Quasi-identifiers.
Proceedings of the 25th International Conference on Data Engineering, 2009
2008
Personalized Privacy Preservation.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008
Efficient temporal counting with bounded error.
VLDB J., 2008
Primal or dual: which promises faster spatiotemporal search?
VLDB J., 2008
Output perturbation with query relaxation.
Proc. VLDB Endow., 2008
Dynamic anonymization: accurate statistical analysis with privacy preservation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Preservation of proximity privacy in publishing numerical sensitive data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
On Anti-Corruption Privacy Preserving Publication.
Proceedings of the 24th International Conference on Data Engineering, 2008
2007
Multidimensional reverse <i>k</i> NN search.
VLDB J., 2007
Range search on multidimensional uncertain data.
ACM Trans. Database Syst., 2007
Efficient Skyline and Top-k Retrieval in Subspaces.
IEEE Trans. Knowl. Data Eng., 2007
On Efficient Spatial Matching.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007
M-invariance: towards privacy preserving re-publication of dynamic datasets.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
2006
Anatomy: Simple and Effective Privacy Preservation.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Personalized privacy preservation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006
Mining distance-based outliers from large databases in any metric space.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
SUBSKY: Efficient Computation of Skylines in Subspaces.
Proceedings of the 22nd International Conference on Data Engineering, 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
2004
Detail-Preserving Approach for Impulse Noise Removal from Images.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004