Ke Wang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 36

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

Knowl. Inf. Syst.

IEEE BigData

Publications

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
TEM: High Utility Metric Differential Privacy on Text. SDM (2023)
Lovedeep Gondara, Ke Wang
PubSub-ML: A Model Streaming Alternative to Federated Learning. Proc. Priv. Enhancing Technol. 2023 (2) (2023)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
Differentially Private Ensemble Classifiers for Data Streams. WSDM (2022)
Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara
Incorporating Item Frequency for Differentially Private Set Union. AAAI (2022)
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long, Chunyan Miao
Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases. IEEE Trans. Cloud Comput. 10 (2) (2022)
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
Summarizing User-Item Matrix By Group Utility Maximization. ICDM (2021)
Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang
Training Differentially Private Neural Networks with Lottery Tickets. ESORICS (2) (2021)
Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li
Enhanced Privacy Preserving Group Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
Differentially Private Ensemble Classifiers for Data Streams. CoRR (2021)
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
Differentially Private Top-k Selection via Stability on Unknown Domain. UAI (2020)
Lovedeep Gondara, Ke Wang
Differentially Private Small Dataset Release Using Random Projections. UAI (2020)
Lovedeep Gondara, Ke Wang
Differentially Private Survival Function Estimation. MLHC (2020)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
The Differentially Private Lottery Ticket Mechanism. CoRR (2020)
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. SoCC (2019)
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long
Class Indistinguishability for Outsourcing Equality Conjunction Search. CLOUD (2019)
Amin Milani Fard, Ebrahim Bagheri, Ke Wang
Relationship Prediction in Dynamic Heterogeneous Information Networks. ECIR (1) (2019)
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. IACR Cryptol. ePrint Arch. 2019 (2019)
Lovedeep Gondara, Ke Wang
Differentially Private Survival Function Estimation. CoRR (2019)
Ke Wang, Weipeng Lin, Raymond Chi-Wing Wong, Zhilin Zhang, Ada Wai-Chee Fu
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. SoCC (2019)
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle. CIKM (2019)
Lovedeep Gondara, Ke Wang
Recovering Loss to Followup Information Using Denoising Autoencoders. CoRR (2018)
Ying Liu, Hui Peng, Yuncheng Wu, Juru Zeng, Hong Chen, Ke Wang, Weiling Lai, Cuiping Li
Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. DASFAA (1) (2018)
Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li
Privacy Preserving Group Nearest Neighbor Search. EDBT (2018)
Lovedeep Gondara, Ke Wang
MIDA: Multiple Imputation Using Denoising Autoencoders. PAKDD (3) (2018)
Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin
Secure Top-k Inner Product Retrieval. CIKM (2018)
Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen
Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants. ICDCS (2017)
Lovedeep Gondara, Ke Wang
Recovering loss to followup information using denoising autoencoders. IEEE BigData (2017)
Minhao Jiang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
READS: A Random Walk Approach for Efficient and Accurate Dynamic SimRank. Proc. VLDB Endow. 10 (9) (2017)
Lovedeep Gondara, Ke Wang
Multiple Imputation Using Deep Denoising Autoencoders. CoRR (2017)
Hongwei Liang, Ke Wang, Feida Zhu
Mining social ties beyond homophily. ICDE (2016)
Chenyi Zhang, Ke Wang
POI recommendation through cross-region collaborative filtering. Knowl. Inf. Syst. 46 (2) (2016)
Chenyi Zhang, Hongwei Liang, Ke Wang
Trip Recommendation Meets Real-World Constraints: POI Availability, Diversity, and Traveling Time Uncertainty. ACM Trans. Inf. Syst. 35 (1) (2016)
Xiaoning Xu, Chuancong Gao, Jian Pei, Ke Wang, Abdullah Al-Barakati
Continuous similarity search for evolving queries. Knowl. Inf. Syst. 48 (3) (2016)
Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Generalized bucketization scheme for flexible privacy settings. Inf. Sci. 348 (2016)
Junqiang Liu, Ke Wang, Benjamin C. M. Fung
Mining High Utility Patterns in One Phase without Generating Candidates. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang
TopicSketch: Real-Time Bursty Topic Detection from Twitter. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang
Modelling cascades over time in microblogs. IEEE BigData (2015)
Chao Han, Ke Wang
Sensitive Disclosures under Differential Privacy Guarantees. BigData Congress (2015)
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu
Are Features Equally Representative? A Feature-Centric Recommendation. AAAI (2015)
Chenyi Zhang, Hongwei Liang, Ke Wang, Jianling Sun
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time. CIKM (2015)
Loc Do, Hady Wirawan Lauw, Ke Wang
Mining Revenue-Maximizing Bundling Configuration. Proc. VLDB Endow. 8 (5) (2015)
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Yue Wang, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
KeyLabel algorithms for keyword search in large graphs. IEEE BigData (2015)
Lei Dong, Xuan Chen, Jianxiang Zhu, Hong Chen, Ke Wang, Cuiping Li
A Secure Collusion-Aware and Probability-Aware Range Query Processing in Tiered Sensor Networks. SRDS (2015)
Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu
Reconstruction Privacy: Enabling Statistical Learning. EDBT (2015)
Amin Milani Fard, Ke Wang
Neighborhood randomization for link privacy in social network analysis. World Wide Web 18 (1) (2015)
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Jia Wang, Minhao Jiang
Small sum privacy and large sum utility in data publishing. J. Biomed. Informatics 50 (2014)
Xiaoying Zhang, Hong Chen, Ke Wang, Hui Peng, Yongjian Fan, Deying Li
Rotation-based privacy-preserving data aggregation in wireless sensor networks. ICC (2014)
Chenyi Zhang, Xueyi Zhao, Ke Wang, Jianling Sun
Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks. ECIR (2014)
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim
Latent Factor Transition for Dynamic Collaborative Filtering. SDM (2014)
Chenyi Zhang, Jianling Sun, Ke Wang
Information propagation in microblog networks. ASONAM (2013)
Yubao Liu, Raymond Chi-Wing Wong, Ke Wang, Zhijie Li, Cheng Chen, Zitong Chen
A new approach for maximizing bichromatic reverse nearest neighbor search. Knowl. Inf. Syst. 36 (1) (2013)
Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu
Collective spatial keyword queries: a distance owner-driven approach. SIGMOD Conference (2013)
Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang
Introduction to the Special Issue ACM SIGKDD 2012. ACM Trans. Knowl. Discov. Data 7 (3) (2013)
Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang
Privacy-preserving trajectory data publishing by local suppression. Inf. Sci. 231 (2013)
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang
TopicSketch: Real-Time Bursty Topic Detection from Twitter. ICDM (2013)
Ke Wang, Chao Han, Ada Wai-Chee Fu
Randomization Resilient To Sensitive Reconstruction CoRR (2012)
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
Quality and Leniency in Online Collaborative Rating Systems. ACM Trans. Web 6 (1) (2012)
Junqiang Liu, Ke Wang, Benjamin C. M. Fung
Direct Discovery of High Utility Itemsets without Candidate Generation. ICDM (2012)
Ada Wai-Chee Fu, Jia Wang, Ke Wang, Raymond Chi-Wing Wong
Small Count Privacy and Large Count Utility in Data Publishing CoRR (2012)
Amin Milani Fard, Ke Wang, Philip S. Yu
Limiting link disclosure in social network analysis through subgraph-wise perturbation. EDBT (2012)
Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Inferential or Differential: Privacy Laws Dictate CoRR (2012)
Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang
Extracting Interpretable Features for Early Classification on Time Series. SDM (2011)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Philip S. Yu, Jian Pei
Can the Utility of Anonymized Data be Used for Privacy Breaches? ACM Trans. Knowl. Discov. Data 5 (3) (2011)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
Parallel learning to rank for information retrieval. SIGIR (2011)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI (2011)
Rong She, Jeffrey Shih-Chieh Chu, Bora Uyar, Jun Wang, Ke Wang, Nansheng Chen
genBlastG: using BLAST searches to build homologous gene models. Bioinform. 27 (15) (2011)
Amin Milani Fard, Ke Wang
An Effective Clustering Approach to Web Query Log Anonymization. SECRYPT (2010)
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen
Fast and Accurate Gene Prediction by Decision Tree Classification. SDM (2010)
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Surv. 42 (4) (2010)
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Publishing Skewed Sensitive Microdata. SDM (2010)
Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu
Anonymizing Temporal Data. ICDM (2010)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu
Global privacy guarantee in serial data publishing. ICDE (2010)
Amin Milani Fard, Ke Wang
An Effective Clustering Approach to Web Query Log Anonymization CoRR (2010)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
Probabilistic Inference Protection on Anonymized Data. ICDM (2010)
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Patrick C. K. Hung
Privacy-preserving data publishing for cluster analysis. Data Knowl. Eng. 68 (6) (2009)
Ke Wang, Yabo Xu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
FF-Anonymity: When Quasi-identifiers Are Missing. ICDE (2009)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
Anonymization with Worst-Case Distribution-Based Background Knowledge CoRR (2009)
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD (2009)
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes. IEEE Trans. Knowl. Data Eng. 21 (1) (2009)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Philip S. Yu
Can the Utility of Anonymized Data be used for Privacy Breaches? CoRR (2009)
Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
)-anonymous data publishing. J. Intell. Inf. Syst. 33 (2) (2009)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei
Anonymization-based attacks in privacy-preserving data publishing. ACM Trans. Database Syst. 34 (2) (2009)
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu
Preserving Individual Privacy in Serial Data Publishing CoRR (2009)
Yabo Xu, Ke Wang, Guoliang Yang, Ada Wai-Chee Fu
Online anonymity for personalized web services. CIKM (2009)
Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patrick C. K. Hung
Privacy-preserving data mashup. EDBT (2009)
Xinghuo Zeng, Jian Pei, Ke Wang, Jinyan Li
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining. Knowl. Inf. Syst. 20 (3) (2009)
Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wang, Ismael A. Vergara, Nansheng Chen
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics. EDBT (2008)
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei
Publishing Sensitive Transactions for Itemset Utility. ICDM (2008)
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad Debbabi
A framework for privacy-preserving cluster analysis. ISI (2008)
Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei
Anonymity for continuous data publishing. EDBT (2008)
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
Computing Join Aggregates Over Private Tables. Int. J. Data Warehous. Min. 4 (4) (2008)
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu
Anonymizing transaction databases for publication. KDD (2008)
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
Bias and Controversy in Evaluation Systems. IEEE Trans. Knowl. Data Eng. 20 (11) (2008)
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang
Maintaining K-Anonymity against Incremental Updates. SSDBM (2007)
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
Summarizing Review Scores of "Unequal" Reviewers. SDM (2007)
Ke Wang, Benjamin C. M. Fung, Philip S. Yu
-anonymization. Knowl. Inf. Syst. 11 (3) (2007)
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang
Mining favorable facets. KDD (2007)
Benjamin C. M. Fung, Ke Wang, Philip S. Yu
Anonymizing Classification Data for Privacy Preservation. IEEE Trans. Knowl. Data Eng. 19 (5) (2007)
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
Computing Join Aggregates over Private Tables. DaWaK (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ke Wang