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Yong Ge joined the Eller College of Management in 2016 after previously teaching at the University of North Carolina at Charlotte. He earned his PhD in Management Science and Information Systems in 2013 from Rutgers University. His research focuses on data mining, machine learning, recommender systems and business analytics.Show Less
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Courses
- DAData Analytics
- BDTBig Data Technologies
- DSRMDesign Science Research Methodologies
- BIBusiness Intelligence
Grants
- lll: Small: Learning to Hash Information Networks
Principal Investigator (PI)
2020
$499.6K
Active - III: Small: Collaborative Research: Harnessing Big Data for Improving Career Mobility
Principal Investigator (PI)
2020
$257.9K
Active - CAREER: Mining Career, Education and Job Data to Bridge the Talent Gap between Demand and Supply
Principal Investigator (PI)
2019
$507.9K
Active - Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults
Co-Investigator (COI)
2019
$53.0K
- III: Small: Collaborative Research: A Multi-source Data Driven Optimization Framework for Inter-connected Express Delivery System Design and Inventory Rebalance
Principal Investigator (PI)
2018
$249.9K
- Towards the Development of Smart Bike Sharing Systems
Principal Investigator (PI)
2016
$99.8K
Publications (143)
Recent
- Influence-Driven Data Poisoning for Robust Recommender Systems
2023
- Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
2022
- Network Representation Lightening from Hashing to Quantization
2022
- Job and Employee Embeddings: A Joint Deep Learning Approach
2022
- CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency
2022
- Multi-agent graph convolutional reinforcement learning for dynamic electric vehicle charging pricing
2022
- Comparison of Evaluation Metrics of Deep Learning for Imbalanced Imaging Data in Osteoarthritis Studies
2022
- Boosting Factorization Machines via Saliency-Guided Mixup
2022
- Interactive reinforcement learning for feature selection with decision tree in the loop
2021
- Employee Turnover Prediction: A Big Data and Deep Learning Approach
2021
- System and method for explainable embedding-based recommendation system
2021
- Online additive quantization
2021
- Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior
2021
- Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems
2021
- System and method for click-through rate prediction
2021
- Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training
2021
- On Scalability of Association-rule-based recommendation: A unified distributed-computing framework
2020
- Explainable recommender systems via resolving learning representations
2020
- AutoFS: Automated Feature selection via diversity-aware interactive reinforcement learning
2020
- Diffnet++: A neural influence and interest diffusion network for social recommendation
2020
- A joint neural model for user behavior prediction on social networking platforms
2020
- Leveraging proficiency and preference for online Karaoke recommendation
2020
- Diversity-aware Interactive Reinforced Feature Selection
2020
- Multi-user mobile sequential recommendation for route optimization
2020
- Offline meta-level model-based reinforcement learning approach for cold-start recommendation
2020
- Micro-and macro-level churn analysis of large-scale mobile games
2020
- Voice of Charity: Prospecting the Donation Recurrence Donor Retention in Crowdfunding
2020
- Geography-aware sequential location recommendation
2020
- What Will Be Popular Next? Predicting Hotspots in Two-mode Social Networks
2020
- Computing Co-location Patterns in Spatial Data with Extended Objects: A Buffer-based Approach
2019
- Estimating the days to success of campaigns in crowdfunding: A deep survival perspective
2019
- A dynamic neural network model for click-through rate prediction in real-time bidding
2019
- Computing co-location patterns in spatial data with extended objects: a scalable buffer-based approach
2019
- Personalized multimedia item and key frame recommendation
2019
- Binarized collaborative filtering with distilling graph convolutional networks
2019
- Link Prediction from Incomplete Data
2019
- Binarized Collaborative Filtering with Distilling Graph Convolutional Network
2019
- Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
2019
- Deep attributed network embedding by preserving structure and attribute information
2019
- Route recommendations for intelligent transportation services
2019
- Voice of charity: Prospecting the donation recurrence & donor retention in crowdfunding
2019
- High-order proximity preserving information network hashing
2018
- A semi-supervised and inductive embedding model for churn prediction of large-scale mobile games
2018
- Representing urban forms: A collective learning model with heterogeneous human mobility data
2018
- Applying simulated annealing and parallel computing to the mobile sequential recommendation
2018
- Multi-user mobile sequential recommendation: An efficient parallel computing paradigm
2018
- Collaborative Neural Social Recommendation
2018
- The Effect of Rating System Design on Opinion Sharing
2018
- Scalable Content-Aware Collaborative Filtering for Location Recommendation
2018
- GeoMF++: Making Joint Geographical Modeling and Matrix Factorization Scalable
2018
- Single low-light image enhancement by fusing multiple sources
2018
- Explainable social contextual image recommendation with hierarchical attention
2018
- GeoMF++ scalable location recommendation via joint geographical modeling and matrix factorization
2018
- Textual review dimensionality and helpfulness: A multi-method study
2017
- Identifying serendipitous drug usages in patient forum data
2017
- An efficient data processing framework for mining the massive trajectory of moving objects
2017
- A sequential approach to market state modeling and analysis in online p2p lending
2017
- Exploring the emerging type of comment for online videos: Danmu
2017
- Prospecting the career development of talents: A survival analysis perspective
2017
- Discrete content-aware matrix factorization
2017
- User Vitality Ranking and Prediction in Social Networking Service: a Dynamic Network Perspective
2017
- A context-aware attention network for interactive question answering
2017
- Mobile Route Recommendations for Intelligent Transportation Services
2017
- Tracking the dynamics in crowdfunding
2017
- A Context-aware A ention Network for Interactive estion Answering
2017
- P2P lending survey: Platforms, recent advances and prospects
2017
- User vitality ranking and prediction in social networking services: A dynamic network perspective
2017
- Point-of-Interest Recommendations
2016
- Point-of-interest recommendations: Learning potential check-ins from friends
2016
- Group preference aggregation: A nash equilibrium approach
2016
- Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
2016
- Modeling of geographic dependencies for real estate ranking
2016
- A spatial-temporal probabilistic matrix factorization model for point-of-interest recommendation
2016
- Predicting the popularity of danmu-enabled videos: A multi-factor view
2016
- Modeling users’ preferences and social links in social networking services: a joint-evolving perspective
2016
- Portfolio selections in P2P lending: A multi-objective perspective
2016
- Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
2016
- A proactive workflow model for healthcare operation and management
2016
- A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.
2016
- Tracking the evolution of social emotions with topic models
2016
- Days on market: Measuring liquidity in real estate markets
2016
- Regularized content-aware tensor factorization meets temporal-aware location recommendation
2016
- Measure and mitigate the dimensional bias in online reviews and ratings
2015
- Short and sparse text topic modeling via self-aggregation
2015
- Call for Papers Special Issue on Big Data Computing and Communications
2015
- Automated detection for probable homologous foodborne disease outbreaks
2015
- Regularizing flat latent variables with hierarchical structures
2015
- Point-of-interest recommender systems: A separate-space perspective
2015
- Real estate ranking via mixed land-use latent models
2015
- Method for metric ranking in invariant networks of distributed systems
2015
- Content-aware collaborative filtering for location recommendation based on human mobility data
2015
- Measure and Mitigate the Dimensional Bias in Online Reviews and Ratings.
2015
- Generative models for mining latent aspects and their ratings from short reviews
2015
- Personalized TV recommendation with mixture probabilistic matrix factorization
2015
- Information Coverage Maximization in Social Networks
2015
- Maximizing the coverage of information propagation in social networks
2015
- Predicting the popularity of online serials with autoregressive models
2014
- Heterogeneous metric learning with content-based regularization for software artifact retrieval
2014
- Sparse real estate ranking with online user reviews and offline moving behaviors
2014
- Investment recommendation in p2p lending: A portfolio perspective with risk management
2014
- Finding Well-Clusterable Subspaces for High Dimensional Data
2014
- Ranking metric anomaly in invariant networks
2014
- Mobile app recommendations with security and privacy awareness
2014
- Cost-aware collaborative filtering for travel tour recommendations
2014
- Time series classification using multi-channels deep convolutional neural networks
2014
- Exploiting geographic dependencies for real estate appraisal: A mutual perspective of ranking and clustering
2014
- Tracking the evolution of social emotions: A time-aware topic modeling perspective
2014
- A new framework for traffic anomaly detection
2014
- Proactive workflow modeling by stochastic processes with application to healthcare operation and management
2014
- Discovery of ranking fraud for mobile apps
2014
- Technology prospecting for high tech companies through patent mining
2014
- User preference learning with multiple information fusion for restaurant recommendation
2014
- Popularity modeling for mobile apps: A sequential approach
2014
- Finding Well-Clusterable Subspaces for High Dimensional Data: A Numerical One-Dimension Approach
2014
- Metric ranking of invariant networks with belief propagation
2014
- Recommendations in mobile and pervasive business environments
2013
- Feature selection for high-dimensional imbalanced data
2013
- Ranking fraud detection for mobile apps: A holistic view
2013
- Efficient invariant search for distributed information systems
2013
- Influential seed items recommendation
2012
- Stochastic unsupervised learning on unlabeled data
2012
- A stochastic model for context-aware anomaly detection in indoor location traces
2012
- Which distance metric is right: An evolutionary k-means view
2012
- Collaborative filtering with user ratings and tags
2012
- A cocktail approach for travel package recommendation
2012
- Multifocal learning for customer problem analysis
2011
- A taxi business intelligence system
2011
- Link graph analysis for business site selection
2011
- Personalized travel package recommendation
2011
- A taxi driving fraud detection system
2011
- Cost-aware travel tour recommendation
2011
- Collaborative filtering with collective training
2011
- Performing joint learning for passive intrusion detection in pervasive wireless environments
2010
- Direction clustering for characterizing movement patterns
2010
- An energy-efficient mobile recommender system
2010
- A collaborative approach for image annotation
2010
- Top-eye: Top-k evolving trajectory outlier detection
2010
- Multi-focal learning and its application to customer service support
2009
- A probability model for image annotation
2007
- Texture image retrieval using biorthogonal multiwavelet filters
2007
- Salience-Based Evaluation Strategy for Image Annotation
2007
- Salience preserving multi-focus image fusion
2007
- Novel method to learn region weighting from relevance feedback in image retrieval
2007