Faculty

Institution

Unit

Venue

Yingyuan Yang

Assistant Professor

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Computer Science

University of Illinois--Springfield

Yingyuan Yang is currently serving as a College Of Health, Science And Technology Assistant Professor at University of Illinois-Springfield.

Honors

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Experiences

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Education

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Yingyuan Yang

University of Illinois-Springfield

Assistant Professor

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computer science information security computer security data security machine learning systems engineering electrical engineering ubiquitous computing communication security adversarial machine learning behavioral sciences deep learning internet of things human-computer interaction mobile computing smart grid data privacy online information mobile security wireless security mobile devices cyber-physical systems biometrics information technology intelligent computing machine learning research communicable diseases public health preparedness cryptographic hardware secure computing confidential computing power system analysis power management ws-security disinformation detection threat detection secure network access multi-user detection authentication access control data access cloud computing security privacy protection differential privacy intrusion detection systems device discovery anomaly detection social medium data location-aware social medium social medium mining geosocial networks disease surveillance covid-19 pandemic feature engineering computational epidemiology scada security cps security smart grid security adversarial measurements power grids behavior-based implicit authentication energy-efficient w-layer dynamic privilege implicit authentication systems adversarial attacks privilege mapping threat modeling cloud-based implicit authentication implicit authentication system adaptive differential privacy common ground autism spectrum disorder iot security biometric authentication

Notable Scholarly Works

Notable Federal Grants

Collaborators

Balancing Trade-Offs: Adaptive Differential Privacy in Interpretable Machine Learning Models. (2025)

computer scienceinformation securitydata securitydata privacymachine learningfairnesscomputer securitydata scienceprivacy protectiondifferential privacymachine learning researchadaptive differential privacy

Minimizing Toponym Ambiguity in Geocoding Tweets by Predicting Common Ground. (2025)

common groundcontent analysiscommunicationsocial medium miningdata sciencetext miningonline informationgeosocial networkssocial mediasocial medium datalocation-aware social mediumsocial network analysis

Pseudo-Feature Padding: A Lightweight Defense Against False Data Injection in Power Grids. (2025)

information securitycomputer scienceelectrical gridsdata securityscada securitycomputer securitysmart grid securitycps securitycryptographic hardwarecryptographysmart grid

LIGHTSENTINEL: A Lightweight Anomaly Detection System Leveraging Smart Devices. GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2024)

computer sciencemobile computingembedded systemsdata scienceintrusion detection systemsdevice discoveryanomaly detectioninternet of thingsubiquitous computing

Modeling and Feature Engineering of Covid-19 Statistical Trends Using Social Media Responses. (2024)

computational epidemiologycovid-19data sciencepredictive analyticsonline informationcommunicable diseasesdisease surveillancepublic health preparednesssocial mediafeature engineeringcovid-19 pandemicepidemiology

Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation. arXiv (Cornell University) (2024)

Li, JiangnanYang, YingyuanSun, Jinyuan

information securitycomputer sciencethreat modelingsmart grid

Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids. (2023)

Jiangnan LiYingyuan YangJinyuan Stella SunKevin TomsovicHairong Qi

deep learninginformation securitydata securitypower managementpower gridsmachine learningcomputer securityadversarial machine learningpower system analysiselectrical engineering

Use of Machine Learning-Based Combined Nomogram Model to Predict Autism Spectrum Disorder (Asd) Screening Needs of Children: A Retrospective Cohort Study of 193,101 Children in the Us. Research Square (2023)

Yu-Sheng LeeMatthew Evan SprongYingyuan YangJunu ShresthaMatthew P. Smeltzer

autism spectrum disorderhealth sciencesmachine learningpediatricspublic healthdiagnosis

BUBBLEMAP: Privilege Mapping for Behavior-Based Implicit Authentication Systems. IEEE Transactions on Mobile Computing (2022)

Yingyuan YangXueli HuangJiangnan LiJinyuan Stella Sun

computer scienceinformation securitymobile computingdata securitymobile securityinformation technologycomputer securitycommunication securitysystems engineeringprivilege mappingubiquitous computingelectrical engineering

ECHOIA: A Cloud-Based Implicit Authentication Leveraging User Feedback. Network (2022)

Yingyuan YangJiangnan LiSunshin LeeXueli HuangJinyuan Sun

technologyauthenticitycloud-based implicit authenticationinformation securitycomputer sciencedata securitycommunication securitydata sciencedata managementbiometricssecure network accesscryptographyhuman-computer interactiondata accessdata privacymulti-user detectionintelligent computingauthentication access controlcloud computing security

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Yingyuan Yang

Assistant Professor

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Computer Science

University of Illinois--Springfield

Yingyuan Yang is currently serving as a College Of Health, Science And Technology Assistant Professor at University of Illinois-Springfield.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yingyuan Yang

University of Illinois-Springfield

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Balancing Trade-Offs: Adaptive Differential Privacy in Interpretable Machine Learning Models. (2025)

Minimizing Toponym Ambiguity in Geocoding Tweets by Predicting Common Ground. (2025)

Pseudo-Feature Padding: A Lightweight Defense Against False Data Injection in Power Grids. (2025)

information securitycomputer scienceelectrical gridsdata securityscada securitycomputer securitysmart grid securitycps securitycryptographic hardwarecryptographysmart grid

LIGHTSENTINEL: A Lightweight Anomaly Detection System Leveraging Smart Devices. GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2024)

computer sciencemobile computingembedded systemsdata scienceintrusion detection systemsdevice discoveryanomaly detectioninternet of thingsubiquitous computing

Modeling and Feature Engineering of Covid-19 Statistical Trends Using Social Media Responses. (2024)

Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation. arXiv (Cornell University) (2024)

Li, JiangnanYang, YingyuanSun, Jinyuan

information securitycomputer sciencethreat modelingsmart grid

Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids. (2023)

Jiangnan LiYingyuan YangJinyuan Stella SunKevin TomsovicHairong Qi

deep learninginformation securitydata securitypower managementpower gridsmachine learningcomputer securityadversarial machine learningpower system analysiselectrical engineering

Yu-Sheng LeeMatthew Evan SprongYingyuan YangJunu ShresthaMatthew P. Smeltzer

autism spectrum disorderhealth sciencesmachine learningpediatricspublic healthdiagnosis

BUBBLEMAP: Privilege Mapping for Behavior-Based Implicit Authentication Systems. IEEE Transactions on Mobile Computing (2022)

Yingyuan YangXueli HuangJiangnan LiJinyuan Stella Sun

ECHOIA: A Cloud-Based Implicit Authentication Leveraging User Feedback. Network (2022)

Yingyuan YangJiangnan LiSunshin LeeXueli HuangJinyuan Sun

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2
10 / page