KMap
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.

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Courses
  • DA
    Data Analytics

  • BDT
    Big Data Technologies

  • DSRM
    Design Science Research Methodologies

  • BI
    Business Intelligence

Grants
  • Funding agency logo
    lll: Small: Learning to Hash Information Networks

    Principal Investigator (PI)

    2020

    $499.6K
    Active
  • Funding agency logo
    III: Small: Collaborative Research: Harnessing Big Data for Improving Career Mobility

    Principal Investigator (PI)

    2020

    $257.9K
    Active
  • Funding agency logo
    CAREER: Mining Career, Education and Job Data to Bridge the Talent Gap between Demand and Supply

    Principal Investigator (PI)

    2019

    $507.9K
    Active
  • Funding agency logo
    Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults

    Co-Investigator (COI)

    2019

    $53.0K
  • Funding agency logo
    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
  • Funding agency logo
    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

  • 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

  • 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

  • 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

  • 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

  • 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

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