Faculty

Institution

Unit

Venue

Yong Ge

Associate Professor of Management Information Systems

University of Arizona

Affiliations

Eller College of Management

Department of Management Information Systems

Yong Ge is currently serving as a Management Information Systems Associate Professor of Management Information Systems at University of Arizona.

Honors

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Experiences

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Education

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Yong Ge

University of Arizona

Associate Professor of Management Information Systems

You can click a keyword to filter the displayed items

computer science machine learning data science recommender systems data mining systems engineering knowledge discovery information retrieval pattern recognition information technology knowledge engineering deep learning knowledge management collaborative filtering mobile computing data engineering technology artificial intelligence information science knowledge technology data management group recommenders computational intelligence ranking algorithms matrix factorization intelligent computing data security fraud detection character recognition information management human-computer interaction cybernetics information filtering system crowdfunding mobile security feature selection geographic dependencies communication security digital mediums knowledge-based systems trend prediction pattern analysis text recognition anomaly detection network theory social networking services gabor features handwritten chinese characters location recommendation implicit feedback image annotation screen medium knowledge economy information infrastructures knowledge data engineering choice models evidence-based recommendations topic models user modeling internet modeling preference modeling user behavior modeling movement analysis personalized learning travel package recommendation social links real estate ranking point-of-interest recommendation social emotions invariant networks relevance feedback personalized analytics digital geography time series classification neural influence social recommendation business intelligence advanced analytics business analytics data warehousing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accuracy, Fairness, Diversity All at Once: An Influence Function Guided Data Enhancement Approach for Recommender System. ACM Transactions on Knowledge Discovery from Data (2025)

model selectionstatisticsinformation filtering systemcollaborative filteringcold-start problemdata sciencediversity alldata miningrecommender systemsgroup recommendersanalyticsinfluence modelbias

Learning to Hash Knowledge Graph: Element-Wise Rotation. ACM Transactions on Intelligent Systems and Technology (2025)

computer scienceinformation retrievalsemantic webhash knowledge graphknowledge discoveryknowledge graphsdata scienceknowledge graph embeddingsknowledge-based systemsknowledge representation and reasoninghash functionsdata miningdatabasesperceptual hashing

The 6Th International Workshop on Talent and Management Computing (Tmc 2025). (2025)

computing educationcomputer sciencemanagementmanagement information systemsproject managementintelligent computingcomputer-supported collaborative learningtmc 2025data sciencecomputer-supported cooperative workinternational workshophuman computationmanagement computing

Attacking Social Media via Behavior Poisoning. ACM Transactions on Knowledge Discovery from Data (2024)

Chenwang WuDefu LianYong GeMin ZhouEnhong Chen

information securityinformation retrievalabuse detectioncommunicationmass communicationinformation behaviorknowledge discoverydata sciencesocial mediabehavior poisoninginformation sciencebehavioral sciences

Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Chenwang WuDefu LianYong GeMin ZhouEnhong ChenDacheng Tao

computer sciencepattern recognitionsaliency-guided mixupmachine learningpattern analysismachine intelligencefactorization machines

From Attacker's Eyes: Preventing Attribute Privacy Leakage in User Behavior Data. Research Square (Research Square) (2024)

Defu LianChenwang WuYong GeEnhong Chen

information securitycomputer sciencedata securitydata privacyinformation technologycomputer securityattribute privacy leakagedata scienceprivacy leakageprivacy protectionuser behavior dataprivacy issuesinformation privacyinformation leakage

M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. ACM transactions on office information systems (2024)

Yanan WangYong GeZhepeng LiLi LiRui Chen

machine learningreinforcement learningcomputer sciencecold-start recommendation

The 5Th International Workshop on Talent and Management Computing (Tmc'2024). Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024)

Hengshu ZhuYong GeHui XiongEe-Peng Lim

knowledge discoverydata sciencedata miningknowledge managementmanagement computing

A Robust Method for Estimating Periods of Block Interleavers. (2023)

Shunan HanYuchen BingLi DuYuanzheng Ge

computer scienceblock interleaversrobust method

Comparison of Evaluation Metrics of Deep Learning for Imbalanced Imaging Data in Osteoarthritis Studies. Osteoarthritis and Cartilage (2023)

Shen LiuFrank RoemerYong GeEdward J. BedrickZong-Ming LiAli GuermaziLeena SharmaCharles EatonMarc C. HochbergDavid J. HunterMichael C. NevittWolfgang WirthC. Kent KwohXiaoxiao Sun

deep learninghealth sciencesorthopedic surgeryevaluation metricsosteoarthritis studiesradiologyosteoarthritisorthopaedic surgery

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Yong Ge

Associate Professor of Management Information Systems

University of Arizona

Affiliations

Eller College of Management

Department of Management Information Systems

Yong Ge is currently serving as a Management Information Systems Associate Professor of Management Information Systems at University of Arizona.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yong Ge

University of Arizona

Associate Professor of Management Information Systems

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accuracy, Fairness, Diversity All at Once: An Influence Function Guided Data Enhancement Approach for Recommender System. ACM Transactions on Knowledge Discovery from Data (2025)

model selectionstatisticsinformation filtering systemcollaborative filteringcold-start problemdata sciencediversity alldata miningrecommender systemsgroup recommendersanalyticsinfluence modelbias

Learning to Hash Knowledge Graph: Element-Wise Rotation. ACM Transactions on Intelligent Systems and Technology (2025)

The 6Th International Workshop on Talent and Management Computing (Tmc 2025). (2025)

Attacking Social Media via Behavior Poisoning. ACM Transactions on Knowledge Discovery from Data (2024)

Chenwang WuDefu LianYong GeMin ZhouEnhong Chen

Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Chenwang WuDefu LianYong GeMin ZhouEnhong ChenDacheng Tao

computer sciencepattern recognitionsaliency-guided mixupmachine learningpattern analysismachine intelligencefactorization machines

From Attacker's Eyes: Preventing Attribute Privacy Leakage in User Behavior Data. Research Square (Research Square) (2024)

Defu LianChenwang WuYong GeEnhong Chen

M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. ACM transactions on office information systems (2024)

Yanan WangYong GeZhepeng LiLi LiRui Chen

machine learningreinforcement learningcomputer sciencecold-start recommendation

The 5Th International Workshop on Talent and Management Computing (Tmc'2024). Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024)

Hengshu ZhuYong GeHui XiongEe-Peng Lim

knowledge discoverydata sciencedata miningknowledge managementmanagement computing

A Robust Method for Estimating Periods of Block Interleavers. (2023)

Shunan HanYuchen BingLi DuYuanzheng Ge

computer scienceblock interleaversrobust method

Comparison of Evaluation Metrics of Deep Learning for Imbalanced Imaging Data in Osteoarthritis Studies. Osteoarthritis and Cartilage (2023)

Shen LiuFrank RoemerYong GeEdward J. BedrickZong-Ming LiAli GuermaziLeena SharmaCharles EatonMarc C. HochbergDavid J. HunterMichael C. NevittWolfgang WirthC. Kent KwohXiaoxiao Sun

deep learninghealth sciencesorthopedic surgeryevaluation metricsosteoarthritis studiesradiologyosteoarthritisorthopaedic surgery

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machine learning

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optimization-based data mining

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approximate reasoning

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informatics