Wenjun Zhou

According to our database1, Wenjun Zhou authored at least 59 papers between 2006 and 2019.

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Bibliography

2019
Detecting Pickpocket Suspects from Large-Scale Public Transit Records.
IEEE Trans. Knowl. Data Eng., 2019

Foreground detection based on co-occurrence background model with hypothesis on degradation modification in dynamic scenes.
Signal Processing, 2019

A Novel Traveling-Wave-Based Method Improved by Unsupervised Learning for Fault Location of Power Cables via Sheath Current Monitoring.
Sensors, 2019

Transit Pattern Detection Using Tensor Factorization.
INFORMS Journal on Computing, 2019

Exploiting intra-day patterns for market shock prediction: A machine learning approach.
Expert Syst. Appl., 2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.
IEEE Access, 2019

Synergistic Effect of i-C3F7CN/CO2 and i-C3F7CN/N2 Mixtures.
IEEE Access, 2019

The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets.
Proceedings of the World Wide Web Conference, 2019

Employee Ridesharing: Reinforcement Learning and Choice Modeling.
Proceedings of the 25th Americas Conference on Information Systems, 2019

2018
Approximate and Sublinear Spatial Queries for Large-Scale Vehicle Networks.
IEEE Trans. Vehicular Technology, 2018

Paradoxical Correlation Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2018

A Novel Fault Location Method for a Cross-Bonded HV Cable System Based on Sheath Current Monitoring.
Sensors, 2018

A multi-granularity perspective for spatial profiling of mobile apps.
Inf. Sci., 2018

Co-occurrence Background Model with Hypothesis on Degradation Modification for Robust Object Detection.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Demand-Aware Charger Planning for Electric Vehicle Sharing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Co-occurrence Background Model with Hypothesis on Degradation Modification for Object Detection in Strong Background Changes.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Multi-Hypergraph Consistent Sparse Coding.
ACM TIST, 2017

A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation.
Sensors, 2017

Optimizing the performance of sensor network programs through estimation-based code profiling.
Pervasive and Mobile Computing, 2017

Efficient locality weighted sparse representation for graph-based learning.
Knowl.-Based Syst., 2017

Inferring Correlation between User Mobility and App Usage in Massive Coarse-grained Data Traces.
IMWUT, 2017

Approximate Cardinality Estimation (ACE) in large-scale Internet of Things deployments.
Ad Hoc Networks, 2017

Crowdsourcing Data Science for Innovation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Collaboration for Success in Crowdsourced Innovation Projects: Knowledge Creation, Team Diversity, and Tacit Coordination.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix.
Sensors, 2016

Instance-based credit risk assessment for investment decisions in P2P lending.
European Journal of Operational Research, 2016

A cellular automata model for forest fire spreading simulation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Quantifying skill relevance to job titles.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Correlation range query for effective recommendations.
World Wide Web, 2015

Fuzzy Temporal Segmentation and Probabilistic Recognition of Continuous Human Daily Activities.
IEEE Trans. Human-Machine Systems, 2015

Estimation-based profiling for code placement optimization in sensor network programs.
Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

Discovery of College Students in Financial Hardship.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Spectral clustering of high-dimensional data exploiting sparse representation vectors.
Neurocomputing, 2014

Fuzzy segmentation and recognition of continuous human activities.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Towards approximate spatial queries for large-scale vehicle networks.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Social network of the competing crowd.
Proceedings of the 2014 International Conference on Behavioral, 2014

2013
Multi-indexed Graph Based Knowledge Storage System.
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013

Correlation Range Query.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Community discovery and profiling with social messages.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Multifocal learning for customer problem analysis.
ACM TIST, 2011

Checkpoint evolution for volatile correlation computing.
Machine Learning, 2011

Dynamic Rank Correlation Computing for Financial Risk Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Enhancing investment decisions in P2P lending: an investor composition perspective.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Direction clustering for characterizing movement patterns.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Study On tide prediction method based On LS-Support Vector Machines.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Computation of water levels on the open boundary of tide-surge interaction hydrodynamic model based on LS-SVM.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Pattern Preserving Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Multi-focal learning and its application to customer service support.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Efficient Discovery of Confounders in Large Data Sets.
Proceedings of the ICDM 2009, 2009

2008
Top-k Correlation Computation.
INFORMS Journal on Computing, 2008

Hypergraph partitioning for document clustering: a unified clique perspective.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Volatile correlation computation: a checkpoint view.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
A Generalization of Proximity Functions for K-Means.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Preserving Patterns in Bipartite Graph Partitioning.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006


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