Hengshu Zhu

According to our database1, Hengshu Zhu authored at least 63 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.
IEEE Trans. Knowl. Data Eng., 2019

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?
Proceedings of the World Wide Web Conference, 2019

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Trend-Aware Tensor Factorization for Job Skill Demand Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Exploiting the Contagious Effect for Employee Turnover Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
ACM Trans. Management Inf. Syst., 2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Joint Learning Approach to Intelligent Job Interview Assessment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discerning individual interests and shared interests for social user profiling.
World Wide Web, 2017

Point-of-Interest Demand Modeling with Human Mobility Patterns.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Prospecting the Career Development of Talents: A Survival Analysis Perspective.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Social User Profiling: A Social-Aware Topic Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2017

Collaborative Company Profiling: Insights from an Employee's Perspective.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst., 2016

Recruitment Market Trend Analysis with Sequential Latent Variable Models.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Talent Circle Detection in Job Transition Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Point-of-Interest Recommendations: Learning Potential Check-ins from Friends.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Locating targets through mention in Twitter.
World Wide Web, 2015

Discovery of Ranking Fraud for Mobile Apps.
IEEE Trans. Knowl. Data Eng., 2015

Popularity Modeling for Mobile Apps: A Sequential Approach.
IEEE Trans. Cybernetics, 2015

Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Convex Matrix Completion: A Trace-Ball Optimization Perspective.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Real Estate Ranking via Mixed Land-use Latent Models.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Matrix Factorization with Scale-Invariant Parameters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Career Mobility and Human Activity Patterns for Job Change Analysis.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Ranking user authority with relevant knowledge categories for expert finding.
World Wide Web, 2014

Mobile App Classification with Enriched Contextual Information.
IEEE Trans. Mob. Comput., 2014

Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
TKDD, 2014

Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM TIST, 2014

Learning to annotate via social interaction analytics.
Knowl. Inf. Syst., 2014

Learning to detect subway arrivals for passengers on a train.
Frontiers Comput. Sci., 2014

Mobile app recommendations with security and privacy awareness.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A cost-effective recommender system for taxi drivers.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Technology Prospecting for High Tech Companies through Patent Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Predicting the Popularity of Online Serials with Autoregressive Models.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Diversified social influence maximization.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Time Series Representation: A Random Shifting Perspective.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Learning to Detect the Subway Station Arrival for Mobile Users.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Ranking fraud detection for mobile apps: a holistic view.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities.
IJKSS, 2012

Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Mining Personal Context-Aware Preferences for Mobile Users.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Exploiting enriched contextual information for mobile app classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Finding Experts in Tag Based Knowledge Sharing Communities.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Towards expert finding by leveraging relevant categories in authority ranking.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


  Loading...