2024
Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Out-of-Distribution Aware Classification for Tabular Data.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Summarizing User-item Matrix By Group Utility Maximization.
ACM Trans. Knowl. Discov. Data, July, 2023
PubSub-ML: A Model Streaming Alternative to Federated Learning.
Proc. Priv. Enhancing Technol., April, 2023
TEM: High Utility Metric Differential Privacy on Text.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Disentangled Representation with Causal Constraints for Counterfactual Fairness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Disentangled Representation for Causal Mediation Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.
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ACM Trans. Knowl. Discov. Data, 2022
Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases.
IEEE Trans. Cloud Comput., 2022
Differentially Private Ensemble Classifiers for Data Streams.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Assessing Classifier Fairness with Collider Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
LockBoost: Detecting Malware Binaries by Locking False Alarms.
Proceedings of the International Joint Conference on Neural Networks, 2022
Incorporating Item Frequency for Differentially Private Set Union.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Enhanced Privacy Preserving Group Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2021
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms.
CoRR, 2021
Training Differentially Private Neural Networks with Lottery Tickets.
Proceedings of the Computer Security - ESORICS 2021, 2021
The Skyline of Counterfactual Explanations for Machine Learning Decision Models.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Assessing the Fairness of Classifiers with Collider Bias.
CoRR, 2020
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach.
CoRR, 2020
The Differentially Private Lottery Ticket Mechanism.
CoRR, 2020
Differentially Private Small Dataset Release Using Random Projections.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Differentially Private Top-k Selection via Stability on Unknown Domain.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Differentially Private Survival Function Estimation.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Truth Discovery against Strategic Sybil Attack in Crowdsourcing.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks.
IACR Cryptol. ePrint Arch., 2019
Relationship Prediction in Dynamic Heterogeneous Information Networks.
Proceedings of the Advances in Information Retrieval, 2019
Class Indistinguishability for Outsourcing Equality Conjunction Search.
Proceedings of the Cloud Computing - CLOUD 2019, 2019
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Entity set expansion with semantic features of knowledge graphs.
J. Web Semant., 2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Top-k Route Search through Submodularity Modeling of Recurrent POI Features.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
MIDA: Multiple Imputation Using Denoising Autoencoders.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Privacy Preserving Group Nearest Neighbor Search.
Proceedings of the 21st International Conference on Extending Database Technology, 2018
Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks.
Proceedings of the Database Systems for Advanced Applications, 2018
Secure Top-k Inner Product Retrieval.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
READS: A Random Walk Approach for Efficient and Accurate Dynamic SimRank.
Proc. VLDB Endow., 2017
Multiple Imputation Using Deep Denoising Autoencoders.
CoRR, 2017
Entity Set Expansion via Knowledge Graphs.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Recovering loss to followup information using denoising autoencoders.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Trip Recommendation Meets Real-World Constraints: POI Availability, Diversity, and Traveling Time Uncertainty.
ACM Trans. Inf. Syst., 2016
TopicSketch: Real-Time Bursty Topic Detection from Twitter.
IEEE Trans. Knowl. Data Eng., 2016
Mining High Utility Patterns in One Phase without Generating Candidates.
IEEE Trans. Knowl. Data Eng., 2016
POI recommendation through cross-region collaborative filtering.
Knowl. Inf. Syst., 2016
Continuous similarity search for evolving queries.
Knowl. Inf. Syst., 2016
Generalized bucketization scheme for flexible privacy settings.
Inf. Sci., 2016
Mining social ties beyond homophily.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
2015
Neighborhood randomization for link privacy in social network analysis.
World Wide Web, 2015
A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2015
Mining Revenue-Maximizing Bundling Configuration.
Proc. VLDB Endow., 2015
A Secure Collusion-Aware and Probability-Aware Range Query Processing in Tiered Sensor Networks.
Proceedings of the 34th IEEE Symposium on Reliable Distributed Systems, 2015
Reconstruction Privacy: Enabling Statistical Learning.
Proceedings of the 18th International Conference on Extending Database Technology, 2015
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Modelling cascades over time in microblogs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
KeyLabel algorithms for keyword search in large graphs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Sensitive Disclosures under Differential Privacy Guarantees.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
Are Features Equally Representative? A Feature-Centric Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Latent Tunnel Based Information Propagation in Microblog Networks.
Proceedings of the Social Network Analysis - Community Detection and Evolution, 2014
Small sum privacy and large sum utility in data publishing.
J. Biomed. Informatics, 2014
Latent Factor Transition for Dynamic Collaborative Filtering.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Rotation-based privacy-preserving data aggregation in wireless sensor networks.
Proceedings of the IEEE International Conference on Communications, 2014
Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks.
Proceedings of the Advances in Information Retrieval, 2014
2013
Introduction to the Special Issue ACM SIGKDD 2012.
ACM Trans. Knowl. Discov. Data, 2013
A new approach for maximizing bichromatic reverse nearest neighbor search.
Knowl. Inf. Syst., 2013
Anonymizing bag-valued sparse data by semantic similarity-based clustering.
Knowl. Inf. Syst., 2013
Privacy-preserving trajectory data publishing by local suppression.
Inf. Sci., 2013
Feature Extraction from Micro-blogs for Comparison of Products and Services.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013
Collective spatial keyword queries: a distance owner-driven approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Information propagation in microblog networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Quality and Leniency in Online Collaborative Rating Systems.
ACM Trans. Web, 2012
Inferential or Differential: Privacy Laws Dictate
CoRR, 2012
Small Count Privacy and Large Count Utility in Data Publishing
CoRR, 2012
Randomization Resilient To Sensitive Reconstruction
CoRR, 2012
Direct Discovery of High Utility Itemsets without Candidate Generation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Limiting link disclosure in social network analysis through subgraph-wise perturbation.
Proceedings of the 15th International Conference on Extending Database Technology, 2012
2011
Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Trans. Knowl. Discov. Data, 2011
genBlastG: using BLAST searches to build homologous gene models.
Bioinform., 2011
Parallel learning to rank for information retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
Extracting Interpretable Features for Early Classification on Time Series.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
CCRank: Parallel Learning to Rank with Cooperative Coevolution.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Privacy-preserving data publishing: A survey of recent developments.
ACM Comput. Surv., 2010
An Effective Clustering Approach to Web Query Log Anonymization.
Proceedings of the SECRYPT 2010, 2010
Publishing Skewed Sensitive Microdata.
Proceedings of the SIAM International Conference on Data Mining, 2010
Fast and Accurate Gene Prediction by Decision Tree Classification.
Proceedings of the SIAM International Conference on Data Mining, 2010
Anonymizing Transaction Data by Integrating Suppression and Generalization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Probabilistic Inference Protection on Anonymized Data.
Proceedings of the ICDM 2010, 2010
Anonymizing Temporal Data.
Proceedings of the ICDM 2010, 2010
Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering.
Proceedings of the ICDM 2010, 2010
Global privacy guarantee in serial data publishing.
Proceedings of the 26th International Conference on Data Engineering, 2010
On optimal anonymization for l<sup>+</sup>-diversity.
Proceedings of the 26th International Conference on Data Engineering, 2010
Computing Join Aggregates over Private Tables.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010
2009
Hierarchical Document Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Anonymization-based attacks in privacy-preserving data publishing.
ACM Trans. Database Syst., 2009
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes.
IEEE Trans. Knowl. Data Eng., 2009
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining.
Knowl. Inf. Syst., 2009
(<i>alpha</i>, <i>k</i>)-anonymous data publishing.
J. Intell. Inf. Syst., 2009
Privacy-preserving data publishing for cluster analysis.
Data Knowl. Eng., 2009
Anonymization with Worst-Case Distribution-Based Background Knowledge
CoRR, 2009
Can the Utility of Anonymized Data be used for Privacy Breaches?
CoRR, 2009
Preserving Individual Privacy in Serial Data Publishing
CoRR, 2009
On Mining Rating Dependencies in Online Collaborative Rating Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
FF-Anonymity: When Quasi-identifiers Are Missing.
Proceedings of the 25th International Conference on Data Engineering, 2009
Privacy-preserving data mashup.
Proceedings of the EDBT 2009, 2009
Online anonymity for personalized web services.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Privacy-Preserving Data Stream Classification.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008
Bias and Controversy in Evaluation Systems.
IEEE Trans. Knowl. Data Eng., 2008
Computing Join Aggregates Over Private Tables.
Int. J. Data Warehous. Min., 2008
Anonymizing transaction databases for publication.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
A framework for privacy-preserving cluster analysis.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008
Publishing Sensitive Transactions for Itemset Utility.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics.
Proceedings of the EDBT 2008, 2008
Anonymity for continuous data publishing.
Proceedings of the EDBT 2008, 2008
2007
Anonymizing Classification Data for Privacy Preservation.
IEEE Trans. Knowl. Data Eng., 2007
Handicapping attacker's confidence: an alternative to <i>k</i> -anonymization.
Knowl. Inf. Syst., 2007
Answering ad hoc aggregate queries from data streams using prefix aggregate trees.
Knowl. Inf. Syst., 2007
Privacy-enhancing personalized web search.
Proceedings of the 16th International Conference on World Wide Web, 2007
Minimality Attack in Privacy Preserving Data Publishing.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007
Maintaining K-Anonymity against Incremental Updates.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007
Summarizing Review Scores of "Unequal" Reviewers.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
2006
Discovering Frequent Closed Partial Orders from Strings.
IEEE Trans. Knowl. Data Eng., 2006
Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach.
J. Intell. Inf. Syst., 2006
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Anonymizing sequential releases.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Bias and controversy: beyond the statistical deviation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Mining Actionable Patterns by Role Models.
Proceedings of the 22nd International Conference on Data Engineering, 2006
Classification spanning correlated data streams.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
Classification Spanning Private Databases.
Proceedings of the Proceedings, 2006
2005
Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification.
IEEE Trans. Knowl. Data Eng., 2005
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining.
IEEE Trans. Knowl. Data Eng., 2005
Data Mining for Inventory Item Selection with Cross-Selling Considerations.
Data Min. Knowl. Discov., 2005
Mining Customer Value: From Association Rules to Direct Marketing.
Data Min. Knowl. Discov., 2005
Building Decision Trees on Records Linked through Key References.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Pushing Feature Selection Ahead Of Join.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Integrating Private Databases for Data Analysis.
Proceedings of the Intelligence and Security Informatics, 2005
Template-Based Privacy Preservation in Classification Problems.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Efficiently Mining Frequent Closed Partial Orders.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Mining Patterns That Respond to Actions.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Privacy-Preserving Frequent Pattern Mining across Private Databases.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Top-Down Specialization for Information and Privacy Preservation.
Proceedings of the 21st International Conference on Data Engineering, 2005
2004
Mining Constrained Gradients in Large Databases.
IEEE Trans. Knowl. Data Eng., 2004
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction.
Data Min. Knowl. Discov., 2004
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
Scalable sequential pattern mining for biological sequences.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004
2003
Pushing Support Constraints Into Association Rules Mining.
IEEE Trans. Knowl. Data Eng., 2003
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria.
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Nucleic Acids Res., 2003
Web-Log Cleaning for Constructing Sequential Classifiers.
Appl. Artif. Intell., 2003
Mining Changes of Classification by Correspondence Tracing.
Proceedings of the Third SIAM International Conference on Data Mining, 2003
Hierarchical Document Clustering using Frequent Itemsets.
Proceedings of the Third SIAM International Conference on Data Mining, 2003
Mining unexpected rules by pushing user dynamics.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Frequent-subsequence-based prediction of outer membrane proteins.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Pushing Aggregate Constraints by Divide-and-Approximate.
Proceedings of the 19th International Conference on Data Engineering, 2003
2002
CubeExplorer: online exploration of data cubes.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002
Top Down FP-Growth for Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002
Mining frequent item sets by opportunistic projection.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
Mining Association Rules from Stars.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Profit Mining: From Patterns to Actions.
Proceedings of the Advances in Database Technology, 2002
2001
Classification Pruning for Web-request Prediction.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001
Mining Multi-Dimensional Constrained Gradients in Data Cubes.
Proceedings of the VLDB 2001, 2001
Efficient Computation of Iceberg Cubes with Complex Measures.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001
Hierarchical Classification of Real Life Documents.
Proceedings of the First SIAM International Conference on Data Mining, 2001
RecTree: An Efficient Collaborative Filtering Method.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001
Multi-Dimensional Sequential Pattern Mining.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001
2000
Mining Frequent Itemsets Using Support Constraints.
Proceedings of the VLDB 2000, 2000
Growing decision trees on support-less association rules.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Building Hierarchical Classifiers Using Class Proximity.
Proceedings of the VLDB'99, 1999