Ke Wang

190 papers A* 47A 28B 16C 3Journal 72Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning fair representation for fine-tuning pre-trained language models.
Neural Networks
Ke Wang, Yinghao Zhang, Hong-Yu Zhang, Lin Liu, Jiuyong Li, Zaiwen Feng, Debo Cheng
2025 A* conf
Accelerating Adversarial Training on Under-Utilized GPU.
IJCAI
Zhuoxin Zhan, Ke Wang, Pulei Xiong
2025 J jnl
Investigating the relationship between brain age and Alzheimer's disease: A deep learning approach with multimodal MRI.
Biomed. Signal Process. Control.
Zhengning Wang, Jiaxin Liu, Fang Chen, Ke Wang, Yuhang Xu, Fengmei Lu, Yanling Li, Jingjing Gao
2025 J jnl
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection.
CoRR
Amirhossein Ansari, Ke Wang, Pulei Xiong
2025 — conf
SAM Decoding: Speculative Decoding via Suffix Automaton.
ACL (1)
Yuxuan Hu, Ke Wang, Xiaokang Zhang, Fanjin Zhang, Cuiping Li, Hong Chen, Jing Zhang
2024 A conf
Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling.
CIKM
Anandharaju Durai Raju, Ke Wang
2024 A conf
Out-of-Distribution Aware Classification for Tabular Data.
CIKM
Amirhossein Ansari, Ke Wang, Pulei Xiong
2024 J jnl
SAM Decoding: Speculative Decoding via Suffix Automaton.
CoRR
Yuxuan Hu, Ke Wang, Xiaokang Zhang, Fanjin Zhang, Cuiping Li, Hong Chen, Jing Zhang
2023 A* conf
Disentangled Representation for Causal Mediation Analysis.
AAAI
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023 J jnl
Disentangled Representation for Causal Mediation Analysis.
CoRR
Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023 — conf
Disentangled Representation with Causal Constraints for Counterfactual Fairness.
PAKDD (1)
Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2023 J jnl
PubSub-ML: A Model Streaming Alternative to Federated Learning.
Proc. Priv. Enhancing Technol.
Lovedeep Gondara, Ke Wang
2023 J jnl
Summarizing User-item Matrix By Group Utility Maximization.
ACM Trans. Knowl. Discov. Data
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
2023 A conf
TEM: High Utility Metric Differential Privacy on Text.
SDM
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
2022 — conf
Assessing Classifier Fairness with Collider Bias.
PAKDD (2)
Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022 A conf
Differentially Private Ensemble Classifiers for Data Streams.
WSDM
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2022 J jnl
Disentangled Representation with Causal Constraints for Counterfactual Fairness.
CoRR
Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022 A* conf
Incorporating Item Frequency for Differentially Private Set Union.
AAAI
Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara
2022 B conf
LockBoost: Detecting Malware Binaries by Locking False Alarms.
IJCNN
Anandharaju Durai Raju, Ke Wang
2022 J jnl
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.
ACM Trans. Knowl. Discov. Data
Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao
2022 J jnl
Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases.
IEEE Trans. Cloud Comput.
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long, Chunyan Miao
2021 J jnl
Differentially Private Ensemble Classifiers for Data Streams.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2021 J jnl
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms.
CoRR
Anandharaju Durai Raju, Ke Wang
2021 J jnl
Enhanced Privacy Preserving Group Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng.
Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li
2021 A* conf
Summarizing User-Item Matrix By Group Utility Maximization.
ICDM
Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao
2021 A conf
The Skyline of Counterfactual Explanations for Machine Learning Decision Models.
CIKM
Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao
2021 — conf
Training Differentially Private Neural Networks with Lottery Tickets.
ESORICS (2)
Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang
2020 J jnl
Assessing the Fairness of Classifiers with Collider Bias.
CoRR
Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2020 A conf
Differentially Private Small Dataset Release Using Random Projections.
UAI
Lovedeep Gondara, Ke Wang
2020 — conf
Differentially Private Survival Function Estimation.
MLHC
Lovedeep Gondara, Ke Wang
2020 A conf
Differentially Private Top-k Selection via Stability on Unknown Domain.
UAI
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
2020 A conf
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
RecSys
Jiaxi Tang, Hongyi Wen, Ke Wang
2020 J jnl
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
CoRR
Jiaxi Tang, Hongyi Wen, Ke Wang
2020 J jnl
The Differentially Private Lottery Ticket Mechanism.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2020 J jnl
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach.
CoRR
Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao
2020 A* conf
Truth Discovery against Strategic Sybil Attack in Crowdsourcing.
KDD
Yue Wang, Ke Wang, Chunyan Miao
2019 J jnl
Adaptive Evaluation of Virtual Machine Placement and Migration Scheduling Algorithms Using Stochastic Petri Nets.
IEEE Access
Ying Liu, Ke Wang, Liang Ge, Lei Ye, Jingde Cheng
2019 B conf
Class Indistinguishability for Outsourcing Equality Conjunction Search.
CLOUD
Weipeng Lin, Ke Wang, Zhilin Zhang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Cheng Long
2019 J jnl
Differentially Private Survival Function Estimation.
CoRR
Lovedeep Gondara, Ke Wang
2019 A conf
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle.
CIKM
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2019 — conf
Relationship Prediction in Dynamic Heterogeneous Information Networks.
ECIR (1)
Amin Milani Fard, Ebrahim Bagheri, Ke Wang
2019 — conf
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks.
SoCC
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2019 J jnl
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks.
IACR Cryptol. ePrint Arch.
Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2018 J jnl
Entity set expansion with semantic features of knowledge graphs.
J. Web Semant.
Jun Chen, Yueguo Chen, Xiangling Zhang, Xiaoyong Du, Ke Wang, Ji-Rong Wen
2018 — conf
MIDA: Multiple Imputation Using Denoising Autoencoders.
PAKDD (3)
Lovedeep Gondara, Ke Wang
2018 A conf
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
WSDM
Jiaxi Tang, Ke Wang
2018 J jnl
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
CoRR
Jiaxi Tang, Ke Wang
2018 B conf
Privacy Preserving Group Nearest Neighbor Search.
EDBT
Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li
2018 A* conf
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
KDD
Jiaxi Tang, Ke Wang
2018 J jnl
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
CoRR
Jiaxi Tang, Ke Wang
2018 J jnl
Recovering Loss to Followup Information Using Denoising Autoencoders.
CoRR
Lovedeep Gondara, Ke Wang
2018 — conf
Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks.
DASFAA (1)
Ying Liu, Hui Peng, Yuncheng Wu, Juru Zeng, Hong Chen, Ke Wang, Weiling Lai, Cuiping Li
2018 A conf
Secure Top-k Inner Product Retrieval.
CIKM
Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin
2018 A* conf
Top-k Route Search through Submodularity Modeling of Recurrent POI Features.
SIGIR
Hongwei Liang, Ke Wang
2017 A* conf
Entity Set Expansion via Knowledge Graphs.
SIGIR
Xiangling Zhang, Yueguo Chen, Jun Chen, Xiaoyong Du, Ke Wang, Ji-Rong Wen
2017 J jnl
Multiple Imputation Using Deep Denoising Autoencoders.
CoRR
Lovedeep Gondara, Ke Wang
2017 J jnl
READS: A Random Walk Approach for Efficient and Accurate Dynamic SimRank.
Proc. VLDB Endow.
Minhao Jiang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
2017 — conf
Recovering loss to followup information using denoising autoencoders.
IEEE BigData
Lovedeep Gondara, Ke Wang
2017 A conf
Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants.
ICDCS
Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen
2016 J jnl
Continuous similarity search for evolving queries.
Knowl. Inf. Syst.
Xiaoning Xu, Chuancong Gao, Jian Pei, Ke Wang, Abdullah Al-Barakati
2016 J jnl
Generalized bucketization scheme for flexible privacy settings.
Inf. Sci.
Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2016 J jnl
Mining High Utility Patterns in One Phase without Generating Candidates.
IEEE Trans. Knowl. Data Eng.
Junqiang Liu, Ke Wang, Benjamin C. M. Fung
2016 A* conf
Mining social ties beyond homophily.
ICDE
Hongwei Liang, Ke Wang, Feida Zhu
2016 J jnl
POI recommendation through cross-region collaborative filtering.
Knowl. Inf. Syst.
Chenyi Zhang, Ke Wang
2016 J jnl
TopicSketch: Real-Time Bursty Topic Detection from Twitter.
IEEE Trans. Knowl. Data Eng.
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang
2016 J jnl
Trip Recommendation Meets Real-World Constraints: POI Availability, Diversity, and Traveling Time Uncertainty.
ACM Trans. Inf. Syst.
Chenyi Zhang, Hongwei Liang, Ke Wang
2015 J jnl
A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng.
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
2015 B conf
A Secure Collusion-Aware and Probability-Aware Range Query Processing in Tiered Sensor Networks.
SRDS
Lei Dong, Xuan Chen, Jianxiang Zhu, Hong Chen, Ke Wang, Cuiping Li
2015 A* conf
Are Features Equally Representative? A Feature-Centric Recommendation.
AAAI
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu
2015 — conf
KeyLabel algorithms for keyword search in large graphs.
IEEE BigData
Yue Wang, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2015 J jnl
Mining Revenue-Maximizing Bundling Configuration.
Proc. VLDB Endow.
Loc Do, Hady Wirawan Lauw, Ke Wang
2015 — conf
Modelling cascades over time in microblogs.
IEEE BigData
Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang
2015 J jnl
Neighborhood randomization for link privacy in social network analysis.
World Wide Web
Amin Milani Fard, Ke Wang
2015 A conf
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time.
CIKM
Chenyi Zhang, Hongwei Liang, Ke Wang, Jianling Sun
2015 B conf
Reconstruction Privacy: Enabling Statistical Learning.
EDBT
Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu
2015 — conf
Sensitive Disclosures under Differential Privacy Guarantees.
BigData Congress
Chao Han, Ke Wang
2014 A conf
Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks.
ECIR
Chenyi Zhang, Xueyi Zhao, Ke Wang, Jianling Sun
2014 A conf
Latent Factor Transition for Dynamic Collaborative Filtering.
SDM
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim
2014 — ch.
Latent Tunnel Based Information Propagation in Microblog Networks.
Social Network Analysis
Chenyi Zhang, Jianling Sun, Ke Wang
2014 — conf
Rotation-based privacy-preserving data aggregation in wireless sensor networks.
ICC
Xiaoying Zhang, Hong Chen, Ke Wang, Hui Peng, Yongjian Fan, Deying Li
2014 J jnl
Small sum privacy and large sum utility in data publishing.
J. Biomed. Informatics
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Jia Wang, Minhao Jiang
2013 J jnl
A new approach for maximizing bichromatic reverse nearest neighbor search.
Knowl. Inf. Syst.
Yubao Liu, Raymond Chi-Wing Wong, Ke Wang, Zhijie Li, Cheng Chen, Zitong Chen
2013 J jnl
Anonymizing bag-valued sparse data by semantic similarity-based clustering.
Knowl. Inf. Syst.
Junqiang Liu, Ke Wang
2013 — conf
Collective spatial keyword queries: a distance owner-driven approach.
SIGMOD Conference
Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu
2013 — conf
Feature Extraction from Micro-blogs for Comparison of Products and Services.
WISE (1)
Peng Zhao, Xue Li, Ke Wang
2013 B conf
Information propagation in microblog networks.
ASONAM
Chenyi Zhang, Jianling Sun, Ke Wang
2013 J jnl
Introduction to the Special Issue ACM SIGKDD 2012.
ACM Trans. Knowl. Discov. Data
Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang
2013 J jnl
Privacy-preserving trajectory data publishing by local suppression.
Inf. Sci.
Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang
2013 A* conf
TopicSketch: Real-Time Bursty Topic Detection from Twitter.
ICDM
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang
2012 A* conf
Direct Discovery of High Utility Itemsets without Candidate Generation.
ICDM
Junqiang Liu, Ke Wang, Benjamin C. M. Fung
2012 J jnl
Inferential or Differential: Privacy Laws Dictate
CoRR
Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2012 B conf
Limiting link disclosure in social network analysis through subgraph-wise perturbation.
EDBT
Amin Milani Fard, Ke Wang, Philip S. Yu
2012 J jnl
Quality and Leniency in Online Collaborative Rating Systems.
ACM Trans. Web
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
2012 J jnl
Randomization Resilient To Sensitive Reconstruction
CoRR
Ke Wang, Chao Han, Ada Wai-Chee Fu
2012 J jnl
Small Count Privacy and Large Count Utility in Data Publishing
CoRR
Ada Wai-Chee Fu, Jia Wang, Ke Wang, Raymond Chi-Wing Wong
2011 A* conf
CCRank: Parallel Learning to Rank with Cooperative Coevolution.
AAAI
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2011 J jnl
Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Trans. Knowl. Discov. Data
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Philip S. Yu, Jian Pei
2011 A conf
Extracting Interpretable Features for Early Classification on Time Series.
SDM
Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang
2011 A* conf
Parallel learning to rank for information retrieval.
SIGIR
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2011 J jnl
genBlastG: using BLAST searches to build homologous gene models.
Bioinform.
Rong She, Jeffrey Shih-Chieh Chu, Bora Uyar, Jun Wang, Ke Wang, Nansheng Chen
2010 J jnl
An Effective Clustering Approach to Web Query Log Anonymization
CoRR
Amin Milani Fard, Ke Wang
2010 C conf
An Effective Clustering Approach to Web Query Log Anonymization.
SECRYPT
Amin Milani Fard, Ke Wang
2010 A* conf
Anonymizing Temporal Data.
ICDM
Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu
2010 — conf
Anonymizing Transaction Data by Integrating Suppression and Generalization.
PAKDD (1)
Junqiang Liu, Ke Wang
2010 — ch.
Computing Join Aggregates over Private Tables.
Strategic Advancements in Utilizing Data Mining and Warehousing Technologies
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
2010 A* conf
Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering.
ICDM
Junqiang Liu, Ke Wang
2010 A conf
Fast and Accurate Gene Prediction by Decision Tree Classification.
SDM
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen
2010 A* conf
Global privacy guarantee in serial data publishing.
ICDE
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu
2010 A* conf
On optimal anonymization for l
ICDE
Junqiang Liu, Ke Wang
2010 J jnl
Privacy-preserving data publishing: A survey of recent developments.
ACM Comput. Surv.
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
2010 A* conf
Probabilistic Inference Protection on Anonymized Data.
ICDM
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
2010 A conf
Publishing Skewed Sensitive Microdata.
SDM
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2009 J jnl
(
J. Intell. Inf. Syst.
Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
2009 J jnl
Anonymization with Worst-Case Distribution-Based Background Knowledge
CoRR
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu
2009 J jnl
Anonymization-based attacks in privacy-preserving data publishing.
ACM Trans. Database Syst.
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei
2009 J jnl
Can the Utility of Anonymized Data be used for Privacy Breaches?
CoRR
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Philip S. Yu
2009 A* conf
FF-Anonymity: When Quasi-identifiers Are Missing.
ICDE
Ke Wang, Yabo Xu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong
2009 — ch.
Hierarchical Document Clustering.
Encyclopedia of Data Warehousing and Mining
Benjamin C. M. Fung, Ke Wang, Martin Ester
2009 B conf
On Mining Rating Dependencies in Online Collaborative Rating Networks.
PAKDD
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
2009 J jnl
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes.
IEEE Trans. Knowl. Data Eng.
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang
2009 A conf
Online anonymity for personalized web services.
CIKM
Yabo Xu, Ke Wang, Guoliang Yang, Ada Wai-Chee Fu
2009 J jnl
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining.
Knowl. Inf. Syst.
Xinghuo Zeng, Jian Pei, Ke Wang, Jinyan Li
2009 J jnl
Preserving Individual Privacy in Serial Data Publishing
CoRR
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu
2009 B conf
Privacy-preserving data mashup.
EDBT
Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patrick C. K. Hung
2009 J jnl
Privacy-preserving data publishing for cluster analysis.
Data Knowl. Eng.
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Patrick C. K. Hung
2008 C conf
A framework for privacy-preserving cluster analysis.
ISI
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad Debbabi
2008 B conf
Anonymity for continuous data publishing.
EDBT
Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei
2008 A* conf
Anonymizing transaction databases for publication.
KDD
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu
2008 J jnl
Bias and Controversy in Evaluation Systems.
IEEE Trans. Knowl. Data Eng.
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
2008 J jnl
Computing Join Aggregates Over Private Tables.
Int. J. Data Warehous. Min.
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
2008 B conf
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics.
EDBT
Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wang, Ismael A. Vergara, Nansheng Chen
2008 — ch.
Privacy-Preserving Data Stream Classification.
Privacy-Preserving Data Mining
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei
2008 A* conf
Publishing Sensitive Transactions for Itemset Utility.
ICDM
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei
2007 J jnl
Anonymizing Classification Data for Privacy Preservation.
IEEE Trans. Knowl. Data Eng.
Benjamin C. M. Fung, Ke Wang, Philip S. Yu
2007 J jnl
Answering ad hoc aggregate queries from data streams using prefix aggregate trees.
Knowl. Inf. Syst.
Moonjung Cho, Jian Pei, Ke Wang
2007 B conf
Computing Join Aggregates over Private Tables.
DaWaK
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
2007 J jnl
Handicapping attacker's confidence: an alternative to
Knowl. Inf. Syst.
Ke Wang, Benjamin C. M. Fung, Philip S. Yu
2007 B conf
Maintaining K-Anonymity against Incremental Updates.
SSDBM
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang
2007 A* conf
Minimality Attack in Privacy Preserving Data Publishing.
VLDB
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei
2007 A* conf
Mining favorable facets.
KDD
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang
2007 A* conf
Privacy-enhancing personalized web search.
WWW
Yabo Xu, Ke Wang, Benyu Zhang, Zheng Chen
2007 A conf
Summarizing Review Scores of "Unequal" Reviewers.
SDM
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
2006 A* conf
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing.
KDD
Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
2006 A* conf
Anonymizing sequential releases.
KDD
Ke Wang, Benjamin C. M. Fung
2006 A* conf
Bias and controversy: beyond the statistical deviation.
KDD
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
2006 A* conf
Classification Spanning Private Databases.
AAAI
Ke Wang, Yabo Xu, Rong She, Philip S. Yu
2006 A conf
Classification spanning correlated data streams.
CIKM
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei
2006 J jnl
Discovering Frequent Closed Partial Orders from Strings.
IEEE Trans. Knowl. Data Eng.
Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu
2006 A* conf
Mining Actionable Patterns by Role Models.
ICDE
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
2006 J jnl
Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach.
J. Intell. Inf. Syst.
Irene Pekerskaya, Jian Pei, Ke Wang
2005 A conf
Building Decision Trees on Records Linked through Key References.
SDM
Ke Wang, Yabo Xu, Philip S. Yu, Rong She
2005 J jnl
Data Mining for Inventory Item Selection with Cross-Selling Considerations.
Data Min. Knowl. Discov.
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
2005 J jnl
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining.
IEEE Trans. Knowl. Data Eng.
Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han
2005 A* conf
Efficiently Mining Frequent Closed Partial Orders.
ICDM
Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang
2005 C conf
Integrating Private Databases for Data Analysis.
ISI
Ke Wang, Benjamin C. M. Fung, Guozhu Dong
2005 J jnl
Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification.
IEEE Trans. Knowl. Data Eng.
Senqiang Zhou, Ke Wang
2005 J jnl
Mining Customer Value: From Association Rules to Direct Marketing.
Data Min. Knowl. Discov.
Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung
2005 A* conf
Mining Patterns That Respond to Actions.
ICDM
Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu
2005 A* conf
Privacy-Preserving Frequent Pattern Mining across Private Databases.
ICDM
Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang
2005 A conf
Pushing Feature Selection Ahead Of Join.
SDM
Rong She, Ke Wang, Yabo Xu, Philip S. Yu
2005 A* conf
Template-Based Privacy Preservation in Classification Problems.
ICDM
Ke Wang, Benjamin C. M. Fung, Philip S. Yu
2005 A* conf
Top-Down Specialization for Information and Privacy Preservation.
ICDE
Benjamin C. M. Fung, Ke Wang, Philip S. Yu
2004 A* conf
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection.
ICDM
Ke Wang, Philip S. Yu, Sourav Chakraborty
2004 J jnl
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction.
Data Min. Knowl. Discov.
Qiang Yang, Tianyi Li, Ke Wang
2004 J jnl
Mining Constrained Gradients in Large Databases.
IEEE Trans. Knowl. Data Eng.
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang, Wei Zou
2004 A conf
Scalable sequential pattern mining for biological sequences.
CIKM
Ke Wang, Yabo Xu, Jeffrey Xu Yu
2003 A* conf
Frequent-subsequence-based prediction of outer membrane proteins.
KDD
Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman
2003 A conf
Hierarchical Document Clustering using Frequent Itemsets.
SDM
Benjamin C. M. Fung, Ke Wang, Martin Ester
2003 A* conf
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations.
ICDM
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
2003 A conf
Mining Changes of Classification by Correspondence Tracing.
SDM
Ke Wang, Senqiang Zhou, Ada Wai-Chee Fu, Jeffrey Xu Yu
2003 A* conf
Mining Customer Value: From Association Rules to Direct Marketing.
ICDE
Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang
2003 A* conf
Mining unexpected rules by pushing user dynamics.
KDD
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
2003 J jnl
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria.
Nucleic Acids Res.
Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gábor E. Tusnády, István Simon, Sujun Hua, Katalin de Fays, Christophe G. Lambert, Kenta Nakai, Fiona S. L. Brinkman
2003 A* conf
Pushing Aggregate Constraints by Divide-and-Approximate.
ICDE
Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han
2003 J jnl
Pushing Support Constraints Into Association Rules Mining.
IEEE Trans. Knowl. Data Eng.
Ke Wang, Yu He, Jiawei Han
2003 J jnl
Web-Log Cleaning for Constructing Sequential Classifiers.
Appl. Artif. Intell.
Qiang Yang, Tianyiian Li, Ke Wang
2002 — conf
CubeExplorer: online exploration of data cubes.
SIGMOD Conference
Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang
2002 A* conf
Mining Association Rules from Stars.
ICDM
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
2002 A* conf
Mining frequent item sets by opportunistic projection.
KDD
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
2002 B conf
Profit Mining: From Patterns to Actions.
EDBT
Ke Wang, Senqiang Zhou, Jiawei Han
2002 B conf
Top Down FP-Growth for Association Rule Mining.
PAKDD
Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu
2001 — conf
Classification Pruning for Web-request Prediction.
WWW Posters
Ian Tian-Yi Li, Qiang Yang, Ke Wang
2001 — conf
Efficient Computation of Iceberg Cubes with Complex Measures.
SIGMOD Conference
Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang
2001 A conf
Hierarchical Classification of Real Life Documents.
SDM
Ke Wang, Senqiang Zhou, Yu He
2001 A* conf
Mining Multi-Dimensional Constrained Gradients in Data Cubes.
VLDB
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang
2001 A conf
Multi-Dimensional Sequential Pattern Mining.
CIKM
Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal
2001 B conf
RecTree: An Efficient Collaborative Filtering Method.
DaWaK
Sonny Han Seng Chee, Jiawei Han, Ke Wang
2000 A* conf
Growing decision trees on support-less association rules.
KDD
Ke Wang, Senqiang Zhou, Yu He
2000 A* conf
Mining Frequent Itemsets Using Support Constraints.
VLDB
Ke Wang, Yu He, Jiawei Han
1999 A* conf
Building Hierarchical Classifiers Using Class Proximity.
VLDB
Ke Wang, Senqiang Zhou, Shiang Chen Liew