Ke Wang

Orcid: 0000-0002-8021-4951

Affiliations:
  • Simon Fraser University, Burnaby, BC, Canada
  • Georgia Institute of Technology, Atlanta, GA, USA (former)


According to our database1, Ke Wang authored at least 163 papers between 1999 and 2023.

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Bibliography

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

2022
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.
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

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
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

Mining favorable facets.
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.
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


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