Building Hierarchical Classifiers Using Class Proximity. - Ke Wang 001; Senqiang Zhou; Shiang Chen Liew (VLDB, 1999)

Growing decision trees on support-less association rules. - Ke Wang 001; Senqiang Zhou; Yu He (KDD, 2000)

Mining Frequent Itemsets Using Support Constraints. - Ke Wang 001; Yu He; Jiawei Han 001 (VLDB, 2000)

Multi-Dimensional Sequential Pattern Mining. - Helen Pinto; Jiawei Han 001; Jian Pei 001; Ke Wang 001; Qiming Chen; Umeshwar Dayal (CIKM, 2001)

RecTree: An Efficient Collaborative Filtering Method. - Sonny Han Seng Chee; Jiawei Han 001; Ke Wang 001 (DaWaK, 2001)

Hierarchical Classification of Real Life Documents. - Ke Wang 001; Senqiang Zhou; Yu He (SDM, 2001)

Efficient Computation of Iceberg Cubes with Complex Measures. - Jiawei Han 001; Jian Pei 001; Guozhu Dong; Ke Wang 001 (SIGMOD Conference, 2001)

Mining Multi-Dimensional Constrained Gradients in Data Cubes. - Guozhu Dong; Jiawei Han 001; Joyce M. W. Lam; Jian Pei 001; Ke Wang 001 (VLDB, 2001)

Classification Pruning for Web-request Prediction. - Ian Tian-Yi Li; Qiang Yang 001; Ke Wang 001 (WWW Posters, 2001)

Profit Mining: From Patterns to Actions. - Ke Wang 001; Senqiang Zhou; Jiawei Han 001 (EDBT, 2002)

Mining Association Rules from Stars. - Eric Ka Ka Ng; Ada Wai-Chee Fu; Ke Wang 001 (ICDM, 2002)

Mining frequent item sets by opportunistic projection. - Junqiang Liu; Yunhe Pan; Ke Wang 001; Jiawei Han 001 (KDD, 2002)

Top Down FP-Growth for Association Rule Mining. - Ke Wang 001; Liu Tang; Jiawei Han 001; Junqiang Liu (PAKDD, 2002)

CubeExplorer: online exploration of data cubes. - Jiawei Han 001; Jianyong Wang 001; Guozhu Dong; Jian Pei 001; Ke Wang 001 (SIGMOD Conference, 2002)

Pushing Aggregate Constraints by Divide-and-Approximate. - Ke Wang 001; Yuelong Jiang; Jeffrey Xu Yu; Guozhu Dong; Jiawei Han 001 (ICDE, 2003)

MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001 (ICDM, 2003)

Frequent-subsequence-based prediction of outer membrane proteins. - Rong She; Fei Chen 002; Ke Wang 001; Martin Ester; Jennifer L. Gardy; Fiona S. L. Brinkman (KDD, 2003)

Mining unexpected rules by pushing user dynamics. - Ke Wang 001; Yuelong Jiang; Laks V. S. Lakshmanan (KDD, 2003)

Hierarchical Document Clustering using Frequent Itemsets. - Benjamin C. M. Fung; Ke Wang 001; Martin Ester (SDM, 2003)

Mining Changes of Classification by Correspondence Tracing. - Ke Wang 001; Senqiang Zhou; Ada Wai-Chee Fu; Jeffrey Xu Yu (SDM, 2003)

Web-Log Cleaning for Constructing Sequential Classifiers. - Qiang Yang 001; Tianyiian Li; Ke Wang 001 (Appl. Artif. Intell., 2003)

PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. - Jennifer L. Gardy; Cory Spencer; Ke Wang 001; Martin Ester; Gábor E. Tusnády; István Simon; Sujun Hua; Katalin de Fays; Christophe G. Lambert; Kenta Nakai; Fiona S. L. Brinkman (Nucleic Acids Res., 2003)

Pushing Support Constraints Into Association Rules Mining. - Ke Wang 001; Yu He; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2003)

Scalable sequential pattern mining for biological sequences. - Ke Wang 001; Yabo Xu; Jeffrey Xu Yu (CIKM, 2004)

Bottom-Up Generalization: A Data Mining Solution to Privacy Protection. - Ke Wang 001; Philip S. Yu; Sourav Chakraborty 004 (ICDM, 2004)

Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. - Qiang Yang 001; Tianyi Li 001; Ke Wang 001 (Data Min. Knowl. Discov., 2004)

Mining Constrained Gradients in Large Databases. - Guozhu Dong; Jiawei Han 001; Joyce M. W. Lam; Jian Pei 001; Ke Wang 001; Wei Zou (IEEE Trans. Knowl. Data Eng., 2004)

Top-Down Specialization for Information and Privacy Preservation. - Benjamin C. M. Fung; Ke Wang 001; Philip S. Yu (ICDE, 2005)

Privacy-Preserving Frequent Pattern Mining across Private Databases. - Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Ke Wang 001 (ICDM, 2005)

Mining Patterns That Respond to Actions. - Yuelong Jiang; Ke Wang 001; Alexander Tuzhilin; Ada Wai-Chee Fu (ICDM, 2005)

Efficiently Mining Frequent Closed Partial Orders. - Jian Pei 001; Jian Liu 001; Haixun Wang; Ke Wang 001; Philip S. Yu; Jianyong Wang 001 (ICDM, 2005)

Template-Based Privacy Preservation in Classification Problems. - Ke Wang 001; Benjamin C. M. Fung; Philip S. Yu (ICDM, 2005)

Integrating Private Databases for Data Analysis. - Ke Wang 001; Benjamin C. M. Fung; Guozhu Dong (ISI, 2005)

Pushing Feature Selection Ahead Of Join. - Rong She; Ke Wang 001; Yabo Xu; Philip S. Yu (SDM, 2005)

Building Decision Trees on Records Linked through Key References. - Ke Wang 001; Yabo Xu; Philip S. Yu; Rong She (SDM, 2005)

Mining Customer Value: From Association Rules to Direct Marketing. - Ke Wang 001; Senqiang Zhou; Qiang Yang 001; Jack Man Shun Yeung (Data Min. Knowl. Discov., 2005)

Data Mining for Inventory Item Selection with Cross-Selling Considerations. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001 (Data Min. Knowl. Discov., 2005)

Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining. - Ke Wang 001; Yuelong Jiang; Jeffrey Xu Yu; Guozhu Dong; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2005)

Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification. - Senqiang Zhou; Ke Wang 001 (IEEE Trans. Knowl. Data Eng., 2005)

Classification Spanning Private Databases. - Ke Wang 001; Yabo Xu; Rong She; Philip S. Yu (AAAI, 2006)

Classification spanning correlated data streams. - Yabo Xu; Ke Wang 001; Ada Wai-Chee Fu; Rong She; Jian Pei 001 (CIKM, 2006)

Mining Actionable Patterns by Role Models. - Ke Wang 001; Yuelong Jiang; Alexander Tuzhilin (ICDE, 2006)

Bias and controversy: beyond the statistical deviation. - Hady Wirawan Lauw; Ee-Peng Lim; Ke Wang 001 (KDD, 2006)

Anonymizing sequential releases. - Ke Wang 001; Benjamin C. M. Fung (KDD, 2006)

(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. - Raymond Chi-Wing Wong; Jiuyong Li; Ada Wai-Chee Fu; Ke Wang 001 (KDD, 2006)

Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach. - Irene Pekerskaya; Jian Pei 001; Ke Wang 001 (J. Intell. Inf. Syst., 2006)

Discovering Frequent Closed Partial Orders from Strings. - Jian Pei 001; Haixun Wang; Jian Liu 001; Ke Wang 001; Jianyong Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2006)

Mining favorable facets. - Raymond Chi-Wing Wong; Jian Pei 001; Ada Wai-Chee Fu; Ke Wang 001 (KDD, 2007)

Summarizing Review Scores of "Unequal" Reviewers. - Hady Wirawan Lauw; Ee-Peng Lim; Ke Wang 001 (SDM, 2007)

Maintaining K-Anonymity against Incremental Updates. - Jian Pei 001; Jian Xu 015; Zhibin Wang; Wei Wang 009; Ke Wang 001 (SSDBM, 2007)

Minimality Attack in Privacy Preserving Data Publishing. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Jian Pei 001 (VLDB, 2007)

Privacy-enhancing personalized web search. - Yabo Xu; Ke Wang 001; Benyu Zhang; Zheng Chen 001 (WWW, 2007)

Answering ad hoc aggregate queries from data streams using prefix aggregate trees. - Moonjung Cho; Jian Pei 001; Ke Wang 001 (Knowl. Inf. Syst., 2007)

Handicapping attacker's confidence: an alternative to k -anonymization. - Ke Wang 001; Benjamin C. M. Fung; Philip S. Yu (Knowl. Inf. Syst., 2007)

Anonymizing Classification Data for Privacy Preservation. - Benjamin C. M. Fung; Ke Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2007)

Anonymity for continuous data publishing. - Benjamin C. M. Fung; Ke Wang 001; Ada Wai-Chee Fu; Jian Pei 001 (EDBT, 2008)

OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics. - Xinghuo Zeng; Matthew J. Nesbitt; Jian Pei 001; Ke Wang 001; Ismael A. Vergara; Nansheng Chen (EDBT, 2008)

Publishing Sensitive Transactions for Itemset Utility. - Yabo Xu; Benjamin C. M. Fung; Ke Wang 001; Ada Wai-Chee Fu; Jian Pei 001 (ICDM, 2008)

A framework for privacy-preserving cluster analysis. - Benjamin C. M. Fung; Ke Wang 001; Lingyu Wang 001; Mourad Debbabi (ISI, 2008)

Anonymizing transaction databases for publication. - Yabo Xu; Ke Wang 001; Ada Wai-Chee Fu; Philip S. Yu (KDD, 2008)

Computing Join Aggregates Over Private Tables. - Rong She; Ke Wang 001; Ada Wai-Chee Fu; Yabo Xu (Int. J. Data Warehous. Min., 2008)

Bias and Controversy in Evaluation Systems. - Hady Wirawan Lauw; Ee-Peng Lim; Ke Wang 001 (IEEE Trans. Knowl. Data Eng., 2008)

Privacy-Preserving Data Stream Classification. - Yabo Xu; Ke Wang 001; Ada Wai-Chee Fu; Rong She; Jian Pei 001 (Privacy-Preserving Data Mining, 2008)

Online anonymity for personalized web services. - Yabo Xu; Ke Wang 001; Guoliang Yang; Ada Wai-Chee Fu (CIKM, 2009)

Privacy-preserving data mashup. - Noman Mohammed; Benjamin C. M. Fung; Ke Wang 001; Patrick C. K. Hung (EDBT, 2009)

FF-Anonymity: When Quasi-identifiers Are Missing. - Ke Wang 001; Yabo Xu; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (ICDE, 2009)

On Mining Rating Dependencies in Online Collaborative Rating Networks. - Hady Wirawan Lauw; Ee-Peng Lim; Ke Wang 001 (PAKDD, 2009)

Preserving Individual Privacy in Serial Data Publishing - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Jia Liu; Ke Wang 001; Yabo Xu (CoRR, 2009)

Can the Utility of Anonymized Data be used for Privacy Breaches? - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Yabo Xu; Philip S. Yu (CoRR, 2009)

Anonymization with Worst-Case Distribution-Based Background Knowledge - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Yabo Xu; Jian Pei 001; Philip S. Yu (CoRR, 2009)

Privacy-preserving data publishing for cluster analysis. - Benjamin C. M. Fung; Ke Wang 001; Lingyu Wang 001; Patrick C. K. Hung (Data Knowl. Eng., 2009)

(alpha, k)-anonymous data publishing. - Raymond Chi-Wing Wong; Jiuyong Li; Ada Wai-Chee Fu; Ke Wang 001 (J. Intell. Inf. Syst., 2009)

PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining. - Xinghuo Zeng; Jian Pei 001; Ke Wang 001; Jinyan Li 001 (Knowl. Inf. Syst., 2009)

Online Skyline Analysis with Dynamic Preferences on Nominal Attributes. - Raymond Chi-Wing Wong; Jian Pei 001; Ada Wai-Chee Fu; Ke Wang 001 (IEEE Trans. Knowl. Data Eng., 2009)

Anonymization-based attacks in privacy-preserving data publishing. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Jian Pei 001 (ACM Trans. Database Syst., 2009)

Hierarchical Document Clustering. - Benjamin C. M. Fung; Ke Wang 001; Martin Ester (Encyclopedia of Data Warehousing and Mining, 2009)

Computing Join Aggregates over Private Tables. - Rong She; Ke Wang 001; Ada Wai-Chee Fu; Yabo Xu (Strategic Advancements in Utilizing Data Mining and Warehousing Technologies, 2010)

On optimal anonymization for l+-diversity. - Junqiang Liu; Ke Wang 001 (ICDE, 2010)

Global privacy guarantee in serial data publishing. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Jia Liu; Ke Wang 001; Yabo Xu (ICDE, 2010)

Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering. - Junqiang Liu; Ke Wang 001 (ICDM, 2010)

Anonymizing Temporal Data. - Ke Wang 001; Yabo Xu; Raymond Chi-Wing Wong; Ada Wai-Chee Fu (ICDM, 2010)

Probabilistic Inference Protection on Anonymized Data. - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Yabo Xu; Jian Pei 001; Philip S. Yu (ICDM, 2010)

Anonymizing Transaction Data by Integrating Suppression and Generalization. - Junqiang Liu; Ke Wang 001 (PAKDD (1), 2010)

Fast and Accurate Gene Prediction by Decision Tree Classification. - Rong She; Jeffrey Shih-Chieh Chu; Ke Wang 001; Nansheng Chen (SDM, 2010)

Publishing Skewed Sensitive Microdata. - Yabo Xu; Ke Wang 001; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (SDM, 2010)

An Effective Clustering Approach to Web Query Log Anonymization. - Amin Milani Fard; Ke Wang 001 (SECRYPT, 2010)

Privacy-preserving data publishing: A survey of recent developments. - Benjamin C. M. Fung; Ke Wang 001; Rui Chen 012; Philip S. Yu (ACM Comput. Surv., 2010)

CCRank: Parallel Learning to Rank with Cooperative Coevolution. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (AAAI, 2011)

Extracting Interpretable Features for Early Classification on Time Series. - Zhengzheng Xing; Jian Pei 001; Philip S. Yu; Ke Wang 001 (SDM, 2011)

Parallel learning to rank for information retrieval. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (SIGIR, 2011)

genBlastG: using BLAST searches to build homologous gene models. - Rong She; Jeffrey Shih-Chieh Chu; Bora Uyar; Jun Wang; Ke Wang 001; Nansheng Chen (Bioinform., 2011)

Can the Utility of Anonymized Data be Used for Privacy Breaches? - Raymond Chi-Wing Wong; Ada Wai-Chee Fu; Ke Wang 001; Philip S. Yu; Jian Pei 001 (ACM Trans. Knowl. Discov. Data, 2011)

Limiting link disclosure in social network analysis through subgraph-wise perturbation. - Amin Milani Fard; Ke Wang 001; Philip S. Yu (EDBT, 2012)

Direct Discovery of High Utility Itemsets without Candidate Generation. - Junqiang Liu; Ke Wang 001; Benjamin C. M. Fung (ICDM, 2012)

Randomization Resilient To Sensitive Reconstruction - Ke Wang 001; Chao Han; Ada Wai-Chee Fu (CoRR, 2012)

Small Count Privacy and Large Count Utility in Data Publishing - Ada Wai-Chee Fu; Jia Wang; Ke Wang 001; Raymond Chi-Wing Wong (CoRR, 2012)

Inferential or Differential: Privacy Laws Dictate - Ke Wang 001; Peng Wang; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (CoRR, 2012)

Quality and Leniency in Online Collaborative Rating Systems. - Hady Wirawan Lauw; Ee-Peng Lim; Ke Wang 001 (ACM Trans. Web, 2012)

Information propagation in microblog networks. - Chenyi Zhang 002; Jianling Sun; Ke Wang 001 (ASONAM, 2013)

Collective spatial keyword queries: a distance owner-driven approach. - Cheng Long 001; Raymond Chi-Wing Wong; Ke Wang 001; Ada Wai-Chee Fu (SIGMOD Conference, 2013)

Feature Extraction from Micro-blogs for Comparison of Products and Services. - Peng Zhao; Xue Li 001; Ke Wang 001 (WISE (1), 2013)

Privacy-preserving trajectory data publishing by local suppression. - Rui Chen 012; Benjamin C. M. Fung; Noman Mohammed; Bipin C. Desai; Ke Wang 001 (Inf. Sci., 2013)

Anonymizing bag-valued sparse data by semantic similarity-based clustering. - Junqiang Liu; Ke Wang 001 (Knowl. Inf. Syst., 2013)

A new approach for maximizing bichromatic reverse nearest neighbor search. - Yubao Liu; Raymond Chi-Wing Wong; Ke Wang 001; Zhijie Li; Cheng Chen; Zitong Chen (Knowl. Inf. Syst., 2013)

Introduction to the Special Issue ACM SIGKDD 2012. - Deepak Agarwal; Rich Caruana; Jian Pei 001; Ke Wang 001 (ACM Trans. Knowl. Discov. Data, 2013)

Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks. - Chenyi Zhang 002; Xueyi Zhao; Ke Wang 001; Jianling Sun (ECIR, 2014)

Rotation-based privacy-preserving data aggregation in wireless sensor networks. - Xiaoying Zhang; Hong Chen 001; Ke Wang 001; Hui Peng 002; Yongjian Fan; Deying Li 001 (ICC, 2014)

Latent Factor Transition for Dynamic Collaborative Filtering. - Chenyi Zhang 002; Ke Wang 001; Hongkun Yu 001; Jianling Sun; Ee-Peng Lim (SDM, 2014)

Small sum privacy and large sum utility in data publishing. - Ada Wai-Chee Fu; Ke Wang 001; Raymond Chi-Wing Wong; Jia Wang; Minhao Jiang (J. Biomed. Informatics, 2014)

Latent Tunnel Based Information Propagation in Microblog Networks. - Chenyi Zhang 002; Jianling Sun; Ke Wang 001 (Social Network Analysis, 2014)

Are Features Equally Representative? A Feature-Centric Recommendation. - Chenyi Zhang 002; Ke Wang 001; Ee-Peng Lim; Qinneng Xu; Jianling Sun; Hongkun Yu 001 (AAAI, 2015)

Sensitive Disclosures under Differential Privacy Guarantees. - Chao Han; Ke Wang 001 (BigData Congress, 2015)

KeyLabel algorithms for keyword search in large graphs. - Yue Wang 065; Ke Wang 001; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (IEEE BigData, 2015)

Modelling cascades over time in microblogs. - Wei Xie 005; Feida Zhu 001; Siyuan Liu 001; Ke Wang 001 (IEEE BigData, 2015)

Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time. - Chenyi Zhang 002; Hongwei Liang; Ke Wang 001; Jianling Sun (CIKM, 2015)

Reconstruction Privacy: Enabling Statistical Learning. - Ke Wang 001; Chao Han; Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Philip S. Yu (EDBT, 2015)

A Secure Collusion-Aware and Probability-Aware Range Query Processing in Tiered Sensor Networks. - Lei Dong; Xuan Chen; Jianxiang Zhu; Hong Chen 001; Ke Wang 001; Cuiping Li 001 (SRDS, 2015)

Mining Revenue-Maximizing Bundling Configuration. - Loc Do; Hady Wirawan Lauw; Ke Wang 001 (Proc. VLDB Endow., 2015)

A Cooperative Coevolution Framework for Parallel Learning to Rank. - Shuaiqiang Wang; Yun Wu; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw; Jun Ma 001 (IEEE Trans. Knowl. Data Eng., 2015)

Neighborhood randomization for link privacy in social network analysis. - Amin Milani Fard; Ke Wang 001 (World Wide Web, 2015)

Mining social ties beyond homophily. - Hongwei Liang; Ke Wang 001; Feida Zhu 001 (ICDE, 2016)

Generalized bucketization scheme for flexible privacy settings. - Ke Wang 001; Peng Wang; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (Inf. Sci., 2016)

Continuous similarity search for evolving queries. - Xiaoning Xu; Chuancong Gao; Jian Pei 001; Ke Wang 001; Abdullah Al-Barakati (Knowl. Inf. Syst., 2016)

POI recommendation through cross-region collaborative filtering. - Chenyi Zhang 002; Ke Wang 001 (Knowl. Inf. Syst., 2016)

Mining High Utility Patterns in One Phase without Generating Candidates. - Junqiang Liu; Ke Wang 001; Benjamin C. M. Fung (IEEE Trans. Knowl. Data Eng., 2016)

TopicSketch: Real-Time Bursty Topic Detection from Twitter. - Wei Xie 005; Feida Zhu 001; Jing Jiang 001; Ee-Peng Lim; Ke Wang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Trip Recommendation Meets Real-World Constraints: POI Availability, Diversity, and Traveling Time Uncertainty. - Chenyi Zhang 002; Hongwei Liang; Ke Wang 001 (ACM Trans. Inf. Syst., 2016)

Recovering loss to followup information using denoising autoencoders. - Lovedeep Gondara; Ke Wang 001 (IEEE BigData, 2017)

Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants. - Weipeng Lin; Ke Wang 001; Zhilin Zhang 001; Hong Chen 001 (ICDCS, 2017)

Entity Set Expansion via Knowledge Graphs. - Xiangling Zhang; Yueguo Chen; Jun Chen 021; Xiaoyong Du 001; Ke Wang 001; Ji-Rong Wen (SIGIR, 2017)

Multiple Imputation Using Deep Denoising Autoencoders. - Lovedeep Gondara; Ke Wang 001 (CoRR, 2017)

READS: A Random Walk Approach for Efficient and Accurate Dynamic SimRank. - Minhao Jiang; Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Ke Wang 001 (Proc. VLDB Endow., 2017)

Secure Top-k Inner Product Retrieval. - Zhilin Zhang 001; Ke Wang 001; Chen Lin 001; Weipeng Lin (CIKM, 2018)

Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks. - Ying Liu 032; Hui Peng 002; Yuncheng Wu; Juru Zeng; Hong Chen 001; Ke Wang 001; Weiling Lai; Cuiping Li 001 (DASFAA (1), 2018)

Privacy Preserving Group Nearest Neighbor Search. - Yuncheng Wu; Ke Wang 001; Zhilin Zhang 001; Weipeng Lin; Hong Chen 001; Cuiping Li 001 (EDBT, 2018)

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. - Jiaxi Tang; Ke Wang 001 (KDD, 2018)

MIDA: Multiple Imputation Using Denoising Autoencoders. - Lovedeep Gondara; Ke Wang 001 (PAKDD (3), 2018)

Top-k Route Search through Submodularity Modeling of Recurrent POI Features. - Hongwei Liang; Ke Wang 001 (SIGIR, 2018)

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. - Jiaxi Tang; Ke Wang 001 (WSDM, 2018)

Entity set expansion with semantic features of knowledge graphs. - Jun Chen 021; Yueguo Chen; Xiangling Zhang; Xiaoyong Du 001; Ke Wang 001; Ji-Rong Wen (J. Web Semant., 2018)

Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle. - Zhilin Zhang 001; Ke Wang 001; Weipeng Lin; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (CIKM, 2019)

Class Indistinguishability for Outsourcing Equality Conjunction Search. - Weipeng Lin; Ke Wang 001; Zhilin Zhang 001; Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Cheng Long 001 (CLOUD, 2019)

Relationship Prediction in Dynamic Heterogeneous Information Networks. - Amin Milani Fard; Ebrahim Bagheri; Ke Wang 001 (ECIR (1), 2019)

Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. - Zhilin Zhang 001; Ke Wang 001; Weipeng Lin; Ada Wai-Chee Fu; Raymond Chi-Wing Wong (IACR Cryptol. ePrint Arch., 2019)

Truth Discovery against Strategic Sybil Attack in Crowdsourcing. - Yue Wang 065; Ke Wang 001; Chunyan Miao (KDD, 2020)

Differentially Private Survival Function Estimation. - Lovedeep Gondara; Ke Wang 001 (MLHC, 2020)

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. - Jiaxi Tang; Hongyi Wen; Ke Wang 001 (RecSys, 2020)

Differentially Private Top-k Selection via Stability on Unknown Domain. - Ricardo Silva Carvalho; Ke Wang 001; Lovedeep Gondara; Chunyan Miao (UAI, 2020)

Differentially Private Small Dataset Release Using Random Projections. - Lovedeep Gondara; Ke Wang 001 (UAI, 2020)

The Differentially Private Lottery Ticket Mechanism. - Lovedeep Gondara; Ke Wang 001; Ricardo Silva Carvalho (CoRR, 2020)

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. - Yonghui Xu; Shengjie Sun; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Hengjie Song; Chuanyan Miao (CoRR, 2020)

Assessing the Fairness of Classifiers with Collider Bias. - Zhenlong Xu; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (CoRR, 2020)

The Skyline of Counterfactual Explanations for Machine Learning Decision Models. - Yongjie Wang; Qinxu Ding; Ke Wang 001; Yue Liu; Xingyu Wu; Jinglong Wang; Yong Liu 020; Chunyan Miao (CIKM, 2021)

Training Differentially Private Neural Networks with Lottery Tickets. - Lovedeep Gondara; Ricardo Silva Carvalho; Ke Wang 001 (ESORICS (2), 2021)

Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms. - Anandharaju Durai Raju; Ke Wang 001 (CoRR, 2021)

Enhanced Privacy Preserving Group Nearest Neighbor Search. - Yuncheng Wu; Ke Wang 001; Ruoyang Guo; Zhilin Zhang 001; Dan Zhao 009; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

Incorporating Item Frequency for Differentially Private Set Union. - Ricardo Silva Carvalho; Ke Wang 001; Lovedeep Singh Gondara (AAAI, 2022)

LockBoost: Detecting Malware Binaries by Locking False Alarms. - Anandharaju Durai Raju; Ke Wang 001 (IJCNN, 2022)

Assessing Classifier Fairness with Collider Bias. - Zhenlong Xu; Ziqi Xu 001; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (PAKDD (2), 2022)

Differentially Private Ensemble Classifiers for Data Streams. - Lovedeep Gondara; Ke Wang 001; Ricardo Silva Carvalho (WSDM, 2022)

Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases. - Weipeng Lin; Ke Wang 001; Zhilin Zhang 001; Ada Wai-Chee Fu; Raymond Chi-Wing Wong; Cheng Long 001; Chunyan Miao (IEEE Trans. Cloud Comput., 2022)

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. - Yonghui Xu; Shengjie Sun; Huiguo Zhang; Chang'an Yi; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Huaqing Min; Hengjie Song; Chuanyan Miao (ACM Trans. Knowl. Discov. Data, 2022)

Disentangled Representation for Causal Mediation Analysis. - Ziqi Xu 001; Debo Cheng; Jiuyong Li; Jixue Liu; Lin Liu 003; Ke Wang 001 (AAAI, 2023)

Disentangled Representation with Causal Constraints for Counterfactual Fairness. - Ziqi Xu 001; Jixue Liu; Debo Cheng; Jiuyong Li; Lin Liu 003; Ke Wang 001 (PAKDD (1), 2023)

TEM: High Utility Metric Differential Privacy on Text. - Ricardo Silva Carvalho; Theodore Vasiloudis; Oluwaseyi Feyisetan; Ke Wang 001 (SDM, 2023)

PubSub-ML: A Model Streaming Alternative to Federated Learning. - Lovedeep Gondara; Ke Wang 001 (Proc. Priv. Enhancing Technol., 2023)

Summarizing User-item Matrix By Group Utility Maximization. - Yongjie Wang; Ke Wang 001; Cheng Long 001; Chunyan Miao (ACM Trans. Knowl. Discov. Data, 2023)

Out-of-Distribution Aware Classification for Tabular Data. - Amirhossein Ansari; Ke Wang 001; Pulei Xiong (CIKM, 2024)

Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling. - Anandharaju Durai Raju; Ke Wang 001 (CIKM, 2024)

Investigating the relationship between brain age and Alzheimer's disease: A deep learning approach with multimodal MRI. - Zhengning Wang; Jiaxin Liu; Fang Chen; Ke Wang 001; Yuhang Xu; Fengmei Lu; Yanling Li; Jingjing Gao (Biomed. Signal Process. Control., 2025)

NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection. - Amirhossein Ansari; Ke Wang 001; Pulei Xiong (CoRR, 2025)