Wenjun Zhou

Orcid: 0000-0003-2346-8151

Affiliations:
  • University of Tennessee, Knoxville, TN, USA
  • Rutgers University, USA


According to our database1, Wenjun Zhou authored at least 60 papers between 2006 and 2023.

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Bibliography

2023
Is blockchain a cure for peer-to-peer lending?
Ann. Oper. Res., February, 2023

2022
COSLE: Cost sensitive loan evaluation for P2P lending.
Inf. Sci., 2022

Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19).
Inf. Process. Manag., 2022

Three cobblers worth the mastermind? The potential of ensemble in crowdsourced classification problems.
Decis. Sci., 2022

NECA: Network-Embedded Deep Representation Learning for Categorical Data.
CoRR, 2022

Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind.
Proceedings of the Social Robotics - 14th International Conference, 2022

Estimating Human Attitude during Robot-mediated Referential Communication Tasks.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021
Seed Stocking Via Multi-Task Learning.
CoRR, 2021

2020
New Emoji Requests from Twitter Users: When, Where, Why, and What We Can Do About Them.
ACM Trans. Soc. Comput., 2020

Multi-User Mobile Sequential Recommendation for Route Optimization.
ACM Trans. Knowl. Discov. Data, 2020

The KDD Cup 2019 Report.
SIGKDD Explor., 2020

Is Working From Home The New Norm? An Observational Study Based on a Large Geo-tagged COVID-19 Twitter Dataset.
CoRR, 2020

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

Transit Pattern Detection Using Tensor Factorization.
INFORMS J. Comput., 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

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

Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

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

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

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

2017
Multi-Hypergraph Consistent Sparse Coding.
ACM Trans. Intell. Syst. Technol., 2017

Optimizing the performance of sensor network programs through estimation-based code profiling.
Pervasive Mob. Comput., 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.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

2016
Instance-based credit risk assessment for investment decisions in P2P lending.
Eur. J. Oper. Res., 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 (IEEE BigData 2016), 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. Hum. Mach. Syst., 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
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 Trans. Intell. Syst. Technol., 2011

Checkpoint evolution for volatile correlation computing.
Mach. Learn., 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

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 J. Comput., 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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