Hengshu Zhu

Orcid: 0000-0003-4570-643X

According to our database1, Hengshu Zhu authored at least 168 papers between 2011 and 2024.

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Bibliography

2024
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.
ACM Trans. Inf. Syst., March, 2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
ACM Trans. Inf. Syst., March, 2024

How recommendation letters affect career Mobility:Evidence from a social networking sites LinkedIn.
Comput. Hum. Behav., March, 2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.
IEEE Trans. Cybern., February, 2024

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024

Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst., January, 2024

Make Large Language Model a Better Ranker.
CoRR, 2024

Harnessing Large Language Models for Text-Rich Sequential Recommendation.
CoRR, 2024

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst., September, 2023

What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng., June, 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023

Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng., May, 2023

Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag., May, 2023

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Learning Adaptive Embedding Considering Incremental Class.
IEEE Trans. Knowl. Data Eng., March, 2023

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2023

Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci., 2023

Large Language Models are Not Stable Recommender Systems.
CoRR, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
CoRR, 2023

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.
CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR, 2023

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR, 2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR, 2023

Generative Job Recommendations with Large Language Model.
CoRR, 2023

A Survey on Large Language Models for Recommendation.
CoRR, 2023

Preference or Intent? Double Disentangled Collaborative Filtering.
CoRR, 2023

Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR, 2023

The Future of ChatGPT-enabled Labor Market: A Preliminary Study.
CoRR, 2023

A Survey on Causal Inference for Recommendation.
CoRR, 2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reciprocal Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The 4th International Workshop on Talent and Management Computing (TMC'2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2023

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
Proceedings of the IEEE International Conference on Data Mining, 2023

Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model.
Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023

ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards a Better Characterization of IT Career Development Patterns.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.
ACM Trans. Inf. Syst., 2022

Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst., 2022

$\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation.
IEEE Trans. Mob. Comput., 2022

A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data, 2022

Exploring the Risky Travel Area and Behavior of Car-hailing Service.
ACM Trans. Intell. Syst. Technol., 2022

From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms.
IT Prof., 2022

Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput., 2022

Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform., 2022

Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Knowledge Enhanced Person-Job Fit for Talent Recruitment.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Identifying Turnover Contagion in Enterprise Social Networks.
Proceedings of the 28th Americas Conference on Information Systems, 2022

2021
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst., 2021

Exploiting Network Fusion for Organizational Turnover Prediction.
ACM Trans. Manag. Inf. Syst., 2021

Butterfly-Core Community Search over Labeled Graphs.
Proc. VLDB Endow., 2021

A Comprehensive Survey on Transfer Learning.
Proc. IEEE, 2021

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.
CoRR, 2021

Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Embedding Fairness into the AI-Based Talent Recruitment Systems:The Perspective of Environment Cycle and Knowledge Cycle.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Talent Demand Forecasting with Attentive Neural Sequential Model.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TMC 2021: 2021 International Workshop on Talent and Management Computing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Is AI Better Than Human in Identifying High-Potential Talents: A Quasi-Field Experiment.
Proceedings of the 27th Americas Conference on Information Systems, 2021

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matching of social events and users: a two-way selection perspective.
World Wide Web, 2020

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.
ACM Trans. Inf. Syst., 2020

Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models.
ACM Trans. Inf. Syst., 2020

Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks.
IEEE Trans. Mob. Comput., 2020

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks, 2020

Learning Adaptive Embedding Considering Incremental Class.
CoRR, 2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Personalized Employee Training Course Recommendation with Career Development Awareness.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Developing Fairness Rules for Talent Intelligence Management System.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling.
IEEE Trans. Knowl. Data Eng., 2019

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

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR, 2019

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems.
CoRR, 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

Aftershock Detection with Multi-scale Description Based Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 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. Syst. Man Cybern. Syst., 2018

Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
ACM Trans. Manag. 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. Cybern., 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.
ACM Trans. Knowl. Discov. Data, 2014

Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM Trans. Intell. Syst. Technol., 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.
Int. J. Knowl. Syst. Sci., 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


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