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ORCIDKe Wang 0001
Person information
- affiliation: Simon Fraser University, Burnaby, BC, Canada
- affiliation (former): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Ke Wang — disambiguation page
- Ke Wang 0002 — Harbin Institute of Technology, Department of Mathematics, Weihai, China (and 1 more)
- Ke Wang 0003
![[0000-0001-8128-3441]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8128-3441")
— Hong Kong University of Science and Technology, Jockey Club Institute for Advanced Study, Hong Kong (and 2 more) - Ke Wang 0004 — Shanghai University, School of Management, China (and 1 more)
- Ke Wang 0005 — Beijing University of Technology, College of Electronic and Control Engineering, China (and 2 more)
- Ke Wang 0006 — National University of Singapore, NUS Graduate School for Integrative Sciences and Engineering, Singapore
- Ke Wang 0007 — RMIT University, School of Engineering, Melbourne, Australia (and 1 more)
- Ke Wang 0008 — Chang'an University, School of Highway, Xi'an, China
- Ke Wang 0009 — Columbia University, New York, NY, USA
- Ke Wang 0010 — PLA University of Science and Technology, Department of Satellite Communications, Nanjing, China
- Ke Wang 0011 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Ke Wang 0012 — Intel (and 1 more)
- Ke Wang 0013 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering / MoE Key Laboratory of Universal Wireless Communications, China
- Ke Wang 0014 — Chinese Academy of Sciences, Institute of Electrical Engineering, Key Laboratory of Power Electronics and Electric Drive, Beijing, China
- Ke Wang 0015 — China Electric Power Research Institute, Electric Automation Department, Nanjing, China
- Ke Wang 0016 — Zhejiang University, Institute of Remote Sensing and Information System Application / College of Environmental and Resource Sciences, Hangzhou, China
- Ke Wang 0017 — Chongqing University, State Key Laboratory of Mechanical Transmission, China
- Ke Wang 0018 — Xian University of Architecture and Technology, School of Management, China
- Ke Wang 0019 — Nanjing University of Aeronautics and Astronautics, School of Electronic and Information Engineering, China
- Ke Wang 0020 — University of Glasgow, School of Engineering, UK
- Ke Wang 0021 — University of North Carolina, Department of Computer Science, Chapel Hill, NC, USA
- Ke Wang 0023 — China University of Geosciences, Wuhan, China (and 1 more)
- Ke Wang 0024 — Chongqing University, College of Computer Science, China
- Ke Wang 0025 — Zhejiang University of Technology, College of Information Engineering, China
- Ke Wang 0026 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Ke Wang 0027 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China
- Ke Wang 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Ke Wang 0029 — Harbin Institute of Technology, Instrument Science and Technology, China
- Ke Wang 0030 — George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- Ke Wang 0031 — Sichuan University, College of Mathematics, Chengdu, China
- Ke Wang 0032 — Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
- Ke Wang 0033 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Ke Wang 0034 — Zhejiang University, Institute of VLSI Design, China
- Ke Wang 0035 — University of California Santa Barbara, Department of Statistics and Applied Probability, CA, USA
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2020 – today
- 2024
[c112]Amirhossein Ansari, Ke Wang, Pulei Xiong:
Out-of-Distribution Aware Classification for Tabular Data. CIKM 2024: 65-75- [c111]Anandharaju Durai Raju, Ke Wang:
Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling. CIKM 2024: 549-559 - 2023
- [j46]Lovedeep Gondara, Ke Wang:
PubSub-ML: A Model Streaming Alternative to Federated Learning. Proc. Priv. Enhancing Technol. 2023(2): 464-479 (2023) - [j45]Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao:
Summarizing User-item Matrix By Group Utility Maximization. ACM Trans. Knowl. Discov. Data 17(6): 86:1-86:22 (2023) - [c110]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. AAAI 2023: 10666-10674 - [c109]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) 2023: 471-482 - [c108]Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang:
TEM: High Utility Metric Differential Privacy on Text. SDM 2023: 883-890 - [i21]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - 2022
- [j44]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): 1445-1461 (2022) - [j43]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:
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. ACM Trans. Knowl. Discov. Data 16(3): 56:1-56:23 (2022) - [c107]Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara:
Incorporating Item Frequency for Differentially Private Set Union. AAAI 2022: 9504-9511 - [c106]Anandharaju Durai Raju, Ke Wang:
LockBoost: Detecting Malware Binaries by Locking False Alarms. IJCNN 2022: 1-8 - [c105]Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing Classifier Fairness with Collider Bias. PAKDD (2) 2022: 262-276 - [c104]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. WSDM 2022: 325-333 - [i20]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR abs/2208.09147 (2022) - 2021
- [j42]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): 459-473 (2021) - [c103]Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao:
The Skyline of Counterfactual Explanations for Machine Learning Decision Models. CIKM 2021: 2030-2039 - [c102]Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang:
Training Differentially Private Neural Networks with Lottery Tickets. ESORICS (2) 2021: 543-562 - [c101]Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao:
Summarizing User-Item Matrix By Group Utility Maximization. ICDM 2021: 1409-1414 - [i19]Anandharaju Durai Raju, Ke Wang:
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms. CoRR abs/2101.01015 (2021) - [i18]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. CoRR abs/2112.04640 (2021) - 2020
- [c100]Yue Wang, Ke Wang, Chunyan Miao:
Truth Discovery against Strategic Sybil Attack in Crowdsourcing. KDD 2020: 95-104 - [c99]Lovedeep Gondara, Ke Wang:
Differentially Private Survival Function Estimation. MLHC 2020: 271-291 - [c98]Jiaxi Tang, Hongyi Wen, Ke Wang:
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. RecSys 2020: 318-327 - [c97]Lovedeep Gondara, Ke Wang:
Differentially Private Small Dataset Release Using Random Projections. UAI 2020: 639-648 - [c96]Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao:
Differentially Private Top-k Selection via Stability on Unknown Domain. UAI 2020: 1109-1118 - [i17]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
The Differentially Private Lottery Ticket Mechanism. CoRR abs/2002.11613 (2020) - [i16]Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao:
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. CoRR abs/2007.11164 (2020) - [i15]Jiaxi Tang, Hongyi Wen, Ke Wang:
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. CoRR abs/2008.04876 (2020) - [i14]Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing the Fairness of Classifiers with Collider Bias. CoRR abs/2010.03933 (2020)
2010 – 2019
- 2019
- [c95]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: 1331-1340 - [c94]Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. SoCC 2019: 287-298 - [c93]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: 253-270 - [c92]Amin Milani Fard, Ebrahim Bagheri, Ke Wang:
Relationship Prediction in Dynamic Heterogeneous Information Networks. ECIR (1) 2019: 19-34 - [i13]Lovedeep Gondara, Ke Wang:
Differentially Private Survival Function Estimation. CoRR abs/1910.05108 (2019) - [i12]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: 71 (2019) - 2018
- [j41]Jun Chen, Yueguo Chen, Xiangling Zhang, Xiaoyong Du, Ke Wang, Ji-Rong Wen:
Entity set expansion with semantic features of knowledge graphs. J. Web Semant. 52-53: 33-44 (2018) - [c91]Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin:
Secure Top-k Inner Product Retrieval. CIKM 2018: 77-86 - [c90]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: 717-733 - [c89]Yuncheng Wu, Ke Wang, Zhilin Zhang, Weipeng Lin, Hong Chen, Cuiping Li:
Privacy Preserving Group Nearest Neighbor Search. EDBT 2018: 277-288 - [c88]Jiaxi Tang, Ke Wang:
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. KDD 2018: 2289-2298 - [c87]Lovedeep Gondara, Ke Wang:
MIDA: Multiple Imputation Using Denoising Autoencoders. PAKDD (3) 2018: 260-272 - [c86]Hongwei Liang, Ke Wang:
Top-k Route Search through Submodularity Modeling of Recurrent POI Features. SIGIR 2018: 545-554 - [c85]Jiaxi Tang, Ke Wang:
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. WSDM 2018: 565-573 - [i11]Lovedeep Gondara, Ke Wang:
Recovering Loss to Followup Information Using Denoising Autoencoders. CoRR abs/1802.04664 (2018) - [i10]Jiaxi Tang, Ke Wang:
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. CoRR abs/1809.07426 (2018) - [i9]Jiaxi Tang, Ke Wang:
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. CoRR abs/1809.07428 (2018) - 2017
- [j40]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): 937-948 (2017) - [c84]Lovedeep Gondara, Ke Wang:
Recovering loss to followup information using denoising autoencoders. IEEE BigData 2017: 1936-1945 - [c83]Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen:
Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants. ICDCS 2017: 1116-1125 - [c82]Xiangling Zhang, Yueguo Chen, Jun Chen, Xiaoyong Du, Ke Wang, Ji-Rong Wen:
Entity Set Expansion via Knowledge Graphs. SIGIR 2017: 1101-1104 - [i8]Lovedeep Gondara, Ke Wang:
Multiple Imputation Using Deep Denoising Autoencoders. CoRR abs/1705.02737 (2017) - 2016
- [j39]Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Generalized bucketization scheme for flexible privacy settings. Inf. Sci. 348: 377-393 (2016) - [j38]Chenyi Zhang, Ke Wang:
POI recommendation through cross-region collaborative filtering. Knowl. Inf. Syst. 46(2): 369-387 (2016) - [j37]Xiaoning Xu, Chuancong Gao, Jian Pei, Ke Wang, Abdullah Al-Barakati:
Continuous similarity search for evolving queries. Knowl. Inf. Syst. 48(3): 649-678 (2016) - [j36]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): 1245-1257 (2016) - [j35]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): 2216-2229 (2016) - [j34]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): 5:1-5:28 (2016) - [c81]Hongwei Liang, Ke Wang, Feida Zhu:
Mining social ties beyond homophily. ICDE 2016: 421-432 - 2015
- [j33]Loc Do, Hady Wirawan Lauw, Ke Wang:
Mining Revenue-Maximizing Bundling Configuration. Proc. VLDB Endow. 8(5): 593-604 (2015) - [j32]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): 3152-3165 (2015) - [j31]Amin Milani Fard, Ke Wang:
Neighborhood randomization for link privacy in social network analysis. World Wide Web 18(1): 9-32 (2015) - [c80]Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu:
Are Features Equally Representative? A Feature-Centric Recommendation. AAAI 2015: 389-395 - [c79]Chao Han, Ke Wang:
Sensitive Disclosures under Differential Privacy Guarantees. BigData Congress 2015: 110-117 - [c78]Wei Xie, Feida Zhu, Siyuan Liu, Ke Wang:
Modelling cascades over time in microblogs. IEEE BigData 2015: 677-686 - [c77]Yue Wang, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
KeyLabel algorithms for keyword search in large graphs. IEEE BigData 2015: 857-864 - [c76]Chenyi Zhang, Hongwei Liang, Ke Wang, Jianling Sun:
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time. CIKM 2015: 911-920 - [c75]Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu:
Reconstruction Privacy: Enabling Statistical Learning. EDBT 2015: 469-480 - [c74]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: 110-119 - 2014
- [j30]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: 20-31 (2014) - [c73]Chenyi Zhang, Xueyi Zhao, Ke Wang, Jianling Sun:
Content + Attributes: A Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks. ECIR 2014: 39-50 - [c72]Xiaoying Zhang, Hong Chen, Ke Wang, Hui Peng, Yongjian Fan, Deying Li:
Rotation-based privacy-preserving data aggregation in wireless sensor networks. ICC 2014: 4184-4189 - [c71]Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim:
Latent Factor Transition for Dynamic Collaborative Filtering. SDM 2014: 452-460 - [p3]Chenyi Zhang, Jianling Sun, Ke Wang:
Latent Tunnel Based Information Propagation in Microblog Networks. Social Network Analysis 2014: 219-241 - 2013
- [j29]Rui Chen, Benjamin C. M. Fung, Noman Mohammed, Bipin C. Desai, Ke Wang:
Privacy-preserving trajectory data publishing by local suppression. Inf. Sci. 231: 83-97 (2013) - [j28]Junqiang Liu, Ke Wang:
Anonymizing bag-valued sparse data by semantic similarity-based clustering. Knowl. Inf. Syst. 35(2): 435-461 (2013) - [j27]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): 23-58 (2013) - [j26]Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang:
Introduction to the Special Issue ACM SIGKDD 2012. ACM Trans. Knowl. Discov. Data 7(3): 9:1-9:2 (2013) - [c70]Chenyi Zhang, Jianling Sun, Ke Wang:
Information propagation in microblog networks. ASONAM 2013: 190-196 - [c69]Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang:
TopicSketch: Real-Time Bursty Topic Detection from Twitter. ICDM 2013: 837-846 - [c68]Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu:
Collective spatial keyword queries: a distance owner-driven approach. SIGMOD Conference 2013: 689-700 - [c67]Peng Zhao, Xue Li, Ke Wang:
Feature Extraction from Micro-blogs for Comparison of Products and Services. WISE (1) 2013: 82-91 - 2012
- [j25]Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Quality and Leniency in Online Collaborative Rating Systems. ACM Trans. Web 6(1): 4:1-4:27 (2012) - [c66]Amin Milani Fard, Ke Wang, Philip S. Yu:
Limiting link disclosure in social network analysis through subgraph-wise perturbation. EDBT 2012: 109-119 - [c65]Junqiang Liu, Ke Wang, Benjamin C. M. Fung:
Direct Discovery of High Utility Itemsets without Candidate Generation. ICDM 2012: 984-989 - [i7]Ke Wang, Chao Han, Ada Wai-Chee Fu:
Randomization Resilient To Sensitive Reconstruction. CoRR abs/1202.3179 (2012) - [i6]Ada Wai-Chee Fu, Jia Wang, Ke Wang, Raymond Chi-Wing Wong:
Small Count Privacy and Large Count Utility in Data Publishing. CoRR abs/1202.3253 (2012) - [i5]Ke Wang, Peng Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Inferential or Differential: Privacy Laws Dictate. CoRR abs/1202.3686 (2012) - 2011
- [j24]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): 2141-2143 (2011) - [j23]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): 16:1-16:24 (2011) - [c64]Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw:
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI 2011: 1249-1254 - [c63]Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang:
Extracting Interpretable Features for Early Classification on Time Series. SDM 2011: 247-258 - [c62]Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw:
Parallel learning to rank for information retrieval. SIGIR 2011: 1083-1084 - 2010
- [j22]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): 14:1-14:53 (2010) - [c61]Junqiang Liu, Ke Wang:
On optimal anonymization for l+-diversity. ICDE 2010: 213-224 - [c60]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu:
Global privacy guarantee in serial data publishing. ICDE 2010: 956-959 - [c59]Junqiang Liu, Ke Wang:
Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering. ICDM 2010: 899-904 - [c58]Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu:
Anonymizing Temporal Data. ICDM 2010: 1109-1114 - [c57]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: 1127-1132 - [c56]Junqiang Liu, Ke Wang:
Anonymizing Transaction Data by Integrating Suppression and Generalization. PAKDD (1) 2010: 171-180 - [c55]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Publishing Skewed Sensitive Microdata. SDM 2010: 84-93 - [c54]Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen:
Fast and Accurate Gene Prediction by Decision Tree Classification. SDM 2010: 790-801 - [c53]Amin Milani Fard, Ke Wang:
An Effective Clustering Approach to Web Query Log Anonymization. SECRYPT 2010: 109-119 - [p2]Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu:
Computing Join Aggregates over Private Tables. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 256-276 - [i4]Amin Milani Fard, Ke Wang:
An Effective Clustering Approach to Web Query Log Anonymization. CoRR abs/1012.0663 (2010)
2000 – 2009
- 2009
- [j21]Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Patrick C. K. Hung:
Privacy-preserving data publishing for cluster analysis. Data Knowl. Eng. 68(6): 552-575 (2009) - [j20]Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang:
(alpha, k)-anonymous data publishing. J. Intell. Inf. Syst. 33(2): 209-234 (2009) - [j19]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): 375-391 (2009) - [j18]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): 35-49 (2009) - [j17]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): 8:1-8:46 (2009) - [c52]Yabo Xu, Ke Wang, Guoliang Yang, Ada Wai-Chee Fu:
Online anonymity for personalized web services. CIKM 2009: 1497-1500 - [c51]Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patrick C. K. Hung:
Privacy-preserving data mashup. EDBT 2009: 228-239 - [c50]Ke Wang, Yabo Xu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
FF-Anonymity: When Quasi-identifiers Are Missing. ICDE 2009: 1136-1139 - [c49]Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD 2009: 1054-1061 - [r1]Benjamin C. M. Fung, Ke Wang, Martin Ester:
Hierarchical Document Clustering. Encyclopedia of Data Warehousing and Mining 2009: 970-975 - [i3]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jia Liu, Ke Wang, Yabo Xu:
Preserving Individual Privacy in Serial Data Publishing. CoRR abs/0903.0682 (2009) - [i2]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 abs/0905.1755 (2009) - [i1]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 abs/0909.1127 (2009) - 2008
- [j16]Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu:
Computing Join Aggregates Over Private Tables. Int. J. Data Warehous. Min. 4(4): 22-41 (2008) - [j15]Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Bias and Controversy in Evaluation Systems. IEEE Trans. Knowl. Data Eng. 20(11): 1490-1504 (2008) - [c48]Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei:
Anonymity for continuous data publishing. EDBT 2008: 264-275 - [c47]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: 656-667 - [c46]Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei:
Publishing Sensitive Transactions for Itemset Utility. ICDM 2008: 1109-1114 - [c45]Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad Debbabi:
A framework for privacy-preserving cluster analysis. ISI 2008: 46-51 - [c44]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu:
Anonymizing transaction databases for publication. KDD 2008: 767-775 - [p1]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei:
Privacy-Preserving Data Stream Classification. Privacy-Preserving Data Mining 2008: 487-510 - 2007
- [j14]Ke Wang, Benjamin C. M. Fung, Philip S. Yu:
Handicapping attacker's confidence: an alternative to k -anonymization. Knowl. Inf. Syst. 11(3): 345-368 (2007) - [j13]Moonjung Cho, Jian Pei, Ke Wang:
Answering ad hoc aggregate queries from data streams using prefix aggregate trees. Knowl. Inf. Syst. 12(3): 301-329 (2007) - [j12]Benjamin C. M. Fung, Ke Wang, Philip S. Yu:
Anonymizing Classification Data for Privacy Preservation. IEEE Trans. Knowl. Data Eng. 19(5): 711-725 (2007) - [c43]Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu:
Computing Join Aggregates over Private Tables. DaWaK 2007: 78-88 - [c42]Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang:
Mining favorable facets. KDD 2007: 804-813 - [c41]Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Summarizing Review Scores of "Unequal" Reviewers. SDM 2007: 539-544 - [c40]Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang:
Maintaining K-Anonymity against Incremental Updates. SSDBM 2007: 5 - [c39]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei:
Minimality Attack in Privacy Preserving Data Publishing. VLDB 2007: 543-554 - [c38]Yabo Xu, Ke Wang, Benyu Zhang, Zheng Chen:
Privacy-enhancing personalized web search. WWW 2007: 591-600 - 2006
- [j11]Irene Pekerskaya, Jian Pei, Ke Wang:
Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach. J. Intell. Inf. Syst. 27(3): 215-242 (2006) - [j10]Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu:
Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006) - [c37]Ke Wang, Yabo Xu, Rong She, Philip S. Yu:
Classification Spanning Private Databases. AAAI 2006: 293-298 - [c36]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei:
Classification spanning correlated data streams. CIKM 2006: 132-141 - [c35]Ke Wang, Yuelong Jiang, Alexander Tuzhilin:
Mining Actionable Patterns by Role Models. ICDE 2006: 16 - [c34]Ke Wang, Benjamin C. M. Fung:
Anonymizing sequential releases. KDD 2006: 414-423 - [c33]Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Bias and controversy: beyond the statistical deviation. KDD 2006: 625-630 - [c32]Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang:
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. KDD 2006: 754-759 - 2005
- [j9]Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung:
Mining Customer Value: From Association Rules to Direct Marketing. Data Min. Knowl. Discov. 11(1): 57-79 (2005) - [j8]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang:
Data Mining for Inventory Item Selection with Cross-Selling Considerations. Data Min. Knowl. Discov. 11(1): 81-112 (2005) - [j7]Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han:
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining. IEEE Trans. Knowl. Data Eng. 17(3): 354-368 (2005) - [j6]Senqiang Zhou, Ke Wang:
Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification. IEEE Trans. Knowl. Data Eng. 17(12): 1694-1705 (2005) - [c31]Benjamin C. M. Fung, Ke Wang, Philip S. Yu:
Top-Down Specialization for Information and Privacy Preservation. ICDE 2005: 205-216 - [c30]Ke Wang, Benjamin C. M. Fung, Philip S. Yu:
Template-Based Privacy Preservation in Classification Problems. ICDM 2005: 466-473 - [c29]Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Ke Wang:
Privacy-Preserving Frequent Pattern Mining across Private Databases. ICDM 2005: 613-616 - [c28]Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu:
Mining Patterns That Respond to Actions. ICDM 2005: 669-672 - [c27]Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders. ICDM 2005: 753-756 - [c26]Ke Wang, Benjamin C. M. Fung, Guozhu Dong:
Integrating Private Databases for Data Analysis. ISI 2005: 171-182 - [c25]Rong She, Ke Wang, Yabo Xu, Philip S. Yu:
Pushing Feature Selection Ahead Of Join. SDM 2005: 536-540 - [c24]Ke Wang, Yabo Xu, Philip S. Yu, Rong She:
Building Decision Trees on Records Linked through Key References. SDM 2005: 576-580 - 2004
- [j5]Qiang Yang, Tianyi Li, Ke Wang:
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. Data Min. Knowl. Discov. 8(3): 253-273 (2004) - [j4]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang, Wei Zou:
Mining Constrained Gradients in Large Databases. IEEE Trans. Knowl. Data Eng. 16(8): 922-938 (2004) - [c23]Ke Wang, Yabo Xu, Jeffrey Xu Yu:
Scalable sequential pattern mining for biological sequences. CIKM 2004: 178-187 - [c22]Ke Wang, Philip S. Yu, Sourav Chakraborty:
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection. ICDM 2004: 249-256 - 2003
- [j3]Qiang Yang, Tianyiian Li, Ke Wang:
Web-Log Cleaning for Constructing Sequential Classifiers. Appl. Artif. Intell. 17(5-6): 431-441 (2003) - [j2]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:
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. Nucleic Acids Res. 31(13): 3613-3617 (2003) - [j1]Ke Wang, Yu He, Jiawei Han:
Pushing Support Constraints Into Association Rules Mining. IEEE Trans. Knowl. Data Eng. 15(3): 642-658 (2003) - [c21]Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han:
Pushing Aggregate Constraints by Divide-and-Approximate. ICDE 2003: 291-302 - [c20]Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang:
Mining Customer Value: From Association Rules to Direct Marketing. ICDE 2003: 738-740 - [c19]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang:
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations. ICDM 2003: 371-378 - [c18]Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan:
Mining unexpected rules by pushing user dynamics. KDD 2003: 246-255 - [c17]Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman:
Frequent-subsequence-based prediction of outer membrane proteins. KDD 2003: 436-445 - [c16]Benjamin C. M. Fung, Ke Wang, Martin Ester:
Hierarchical Document Clustering using Frequent Itemsets. SDM 2003: 59-70 - [c15]Ke Wang, Senqiang Zhou, Ada Wai-Chee Fu, Jeffrey Xu Yu:
Mining Changes of Classification by Correspondence Tracing. SDM 2003: 95-106 - 2002
- [c14]Ke Wang, Senqiang Zhou, Jiawei Han:
Profit Mining: From Patterns to Actions. EDBT 2002: 70-87 - [c13]Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang:
Mining Association Rules from Stars. ICDM 2002: 322-329 - [c12]Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han:
Mining frequent item sets by opportunistic projection. KDD 2002: 229-238 - [c11]Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu:
Top Down FP-Growth for Association Rule Mining. PAKDD 2002: 334-340 - [c10]Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang:
CubeExplorer: online exploration of data cubes. SIGMOD Conference 2002: 626 - 2001
- [c9]Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal:
Multi-Dimensional Sequential Pattern Mining. CIKM 2001: 81-88 - [c8]Sonny Han Seng Chee, Jiawei Han, Ke Wang:
RecTree: An Efficient Collaborative Filtering Method. DaWaK 2001: 141-151 - [c7]Ke Wang, Senqiang Zhou, Yu He:
Hierarchical Classification of Real Life Documents. SDM 2001: 1-16 - [c6]Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang:
Efficient Computation of Iceberg Cubes with Complex Measures. SIGMOD Conference 2001: 1-12 - [c5]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang:
Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001: 321-330 - [c4]Ian Tian-Yi Li, Qiang Yang, Ke Wang:
Classification Pruning for Web-request Prediction. WWW Posters 2001 - 2000
- [c3]Ke Wang, Senqiang Zhou, Yu He:
Growing decision trees on support-less association rules. KDD 2000: 265-269 - [c2]Ke Wang, Yu He, Jiawei Han:
Mining Frequent Itemsets Using Support Constraints. VLDB 2000: 43-52
1990 – 1999
- 1999
- [c1]Ke Wang, Senqiang Zhou, Shiang Chen Liew:
Building Hierarchical Classifiers Using Class Proximity. VLDB 1999: 363-374
Coauthor Index
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