Faculty

Institution

Unit

Venue

Zijun Yao

Assistant Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Zijun Yao is currently serving as an Electrical Engineering & Computer Science Assistant Professor at University of Kansas.

Honors

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Experiences

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Education

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Zijun Yao

University of Kansas

Assistant Professor

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data science computer science machine learning natural language processing deep learning geography knowledge discovery health sciences data management real estate information retrieval recommender systems word embeddings ontology (information science) geographic dependencies informatics information science knowledge management computational intelligence geographical information science urban geography information management higher education data security communication security information technology information visualization biomedical informatics health information science machine learning research health technology preference learning semantic learning knowledge data engineering knowledge technology knowledge modeling knowledge engineering data engineering spatial economics mobility modeling ranking algorithms biomedical ontologies medical ontology ontology engineering ontology research adversarial machine learning automatic classification benchmark datasets data-intensive computing information discovery healthcare big data model dissemination knowledge extraction health data autoencoders clinical decision-making health monitoring neuromodulation (medicine) classification method mobile analytics urban informatics geographical preferences point-of-interest recommendation dynamic word embeddings semantic discovery real estate appraisal poi popularity temporal matching poi recommendation user regularity urban functions human mobility patterns sparse real estate offline moving behaviors online user reviews restaurant recommendation artificial intelligence content analysis applied artificial intelligence health informatics optimization-based data mining ai healthcare knowledge discovery process semantic evaluation data mining

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparison of Autoencoder Encodings for Ecg Representation in Downstream Prediction Tasks. arXiv (Cornell University) (2024)

Harvey, Christopher J.Shomaji, SumaiyaYao, ZijunNoheria, Amit

deep learningcomputer scienceecg representationmachine learningautoencodersnatural language processingdownstream prediction tasksdata scienceautoencoder encodings

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation. (2024)

Arya Hadizadeh MoghaddamMohsen Nayebi KerdabadiMei LiuZijun Yao

contrastive learningmedical intentsmedicinemachine learningclinical decision-makingsequential prescription recommendation

Discovering Time-Aware Hidden Dependencies With Personalized Graphical Structure in Electronic Health Records. ACM Transactions on Knowledge Discovery from Data (2024)

Arya Hadizadeh MoghaddamMohsen Nayebi KerdabadiBin LiuMei LiuZijun Yao

information discoveryhealth datahealth information sciencecognitive sciencedata sciencedata and information visualizationmachine learning researchinformation retrievalhealth informaticsknowledge extractiontext mininghealthcare big datainformation visualizationpersonalized graphical structureknowledge discoverymodel disseminationtime-aware hidden dependenciespublic healthdata miningbiomedical informatics

Machine Learning to Classify Left Ventricular Hypertrophy Using Ecg Feature Extraction by Variational Autoencoder. medRxiv (Cold Spring Harbor Laboratory) (2024)

Amulya GuptaChristopher J. HarveyAshley DeBaugeSumaiya ShomajiZijun YaoAmit Noheria

classification methodecg feature extractionleft ventricular hypertrophymachine learningvariational autoencoderbiomedical engineering

On the Detectability of Chatgpt Content: Benchmarking, Methodology, and Evaluation Through the Lens of Academic Writing. (2024)

Zeyan LiuZijun YaoFengjun LiBo Luo

natural language processingcomputer scienceacademic writingchatgpt content

SURVATTACK: Black-Box Attack on Survival Models Through Ontology-Informed Ehr Perturbation. arXiv (Cornell University) (2024)

Kerdabadi, Mohsen NayebiMoghaddam, Arya HadizadehLiu, BinLiu, MeiYao, Zijun

survival modelscomputer scienceontology-informed ehr perturbationsurvival analysisdata scienceblack-box attackontology (information science)

Check Me If You Can: Detecting Chatgpt-Generated Academic Writing Using Checkgpt. arXiv (Cornell University) (2023)

Liu, ZeyanYao, ZijunLi, FengjunLuo, Bo

natural language processingcomputer sciencehigher education

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. (2023)

Mohsen Nayebi KerdabadiArya Hadizadeh MoghaddamBin LiuMei LiuZijun Yao

deep learningcontrastive learninghealth sciencessurvival analysistemporal distinctiveness

Ep107 / #72 a Smartwatch-Based AI-Model to Measure and Predict Chronic Pain. Neuromodulation Technology at the Neural Interface (2023)

Richard RauckZijun YaoMohammed GhalwashDaby SowPritish ParidaSara BergerEric LoudermilkJulio PaezLouis BojrabJohn NolesTodd TurleyMohab IbrahimAmol PatwardhanJames ScowcroftRene PrzkoraNathan MillerGassan ChaibanBrad HersheyDat HuynhMatt McdonaldJeffrey Rogers

chronic painneurologyhealth technologyhealth scienceshealth monitoringmachine learningneurosciencephysiological measurementsartificial intelligenceneuromodulation (medicine)smartwatch-based ai-modelwearable technology

Ontology-Aware Prescription Recommendation in Treatment Pathways Using Multi-Evidence Healthcare Data. ACM Transactions on Information Systems (2023)

Zijun YaoBin LiuFei WangDaby SowYing Li

deep learninghealth informaticshealth policyhealth sciencesontology researchmedical ontologyontology engineeringmulti-evidence healthcare dataknowledge discoverydata sciencebiomedical ontologiesinformation managementtreatment pathwaysdata managementontology (information science)

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Zijun Yao

Assistant Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Zijun Yao is currently serving as an Electrical Engineering & Computer Science Assistant Professor at University of Kansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Zijun Yao

University of Kansas

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparison of Autoencoder Encodings for Ecg Representation in Downstream Prediction Tasks. arXiv (Cornell University) (2024)

Harvey, Christopher J.Shomaji, SumaiyaYao, ZijunNoheria, Amit

deep learningcomputer scienceecg representationmachine learningautoencodersnatural language processingdownstream prediction tasksdata scienceautoencoder encodings

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation. (2024)

Arya Hadizadeh MoghaddamMohsen Nayebi KerdabadiMei LiuZijun Yao

contrastive learningmedical intentsmedicinemachine learningclinical decision-makingsequential prescription recommendation

Discovering Time-Aware Hidden Dependencies With Personalized Graphical Structure in Electronic Health Records. ACM Transactions on Knowledge Discovery from Data (2024)

Arya Hadizadeh MoghaddamMohsen Nayebi KerdabadiBin LiuMei LiuZijun Yao

Machine Learning to Classify Left Ventricular Hypertrophy Using Ecg Feature Extraction by Variational Autoencoder. medRxiv (Cold Spring Harbor Laboratory) (2024)

Amulya GuptaChristopher J. HarveyAshley DeBaugeSumaiya ShomajiZijun YaoAmit Noheria

classification methodecg feature extractionleft ventricular hypertrophymachine learningvariational autoencoderbiomedical engineering

On the Detectability of Chatgpt Content: Benchmarking, Methodology, and Evaluation Through the Lens of Academic Writing. (2024)

Zeyan LiuZijun YaoFengjun LiBo Luo

natural language processingcomputer scienceacademic writingchatgpt content

SURVATTACK: Black-Box Attack on Survival Models Through Ontology-Informed Ehr Perturbation. arXiv (Cornell University) (2024)

Kerdabadi, Mohsen NayebiMoghaddam, Arya HadizadehLiu, BinLiu, MeiYao, Zijun

survival modelscomputer scienceontology-informed ehr perturbationsurvival analysisdata scienceblack-box attackontology (information science)

Check Me If You Can: Detecting Chatgpt-Generated Academic Writing Using Checkgpt. arXiv (Cornell University) (2023)

Liu, ZeyanYao, ZijunLi, FengjunLuo, Bo

natural language processingcomputer sciencehigher education

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. (2023)

Mohsen Nayebi KerdabadiArya Hadizadeh MoghaddamBin LiuMei LiuZijun Yao

deep learningcontrastive learninghealth sciencessurvival analysistemporal distinctiveness

Ep107 / #72 a Smartwatch-Based AI-Model to Measure and Predict Chronic Pain. Neuromodulation Technology at the Neural Interface (2023)

Ontology-Aware Prescription Recommendation in Treatment Pathways Using Multi-Evidence Healthcare Data. ACM Transactions on Information Systems (2023)

Zijun YaoBin LiuFei WangDaby SowYing Li

1
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3
10 / page

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Similar Faculty Members

Sanda Harabagiu

Institution

University of Texas at Dallas

applied artificial intelligence

ai healthcare

Rayid Ghani

Institution

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data science

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Xia Ben Hu

Institution

Rice University

medical expert system

machine learning algorithms

Yizhou Sun

Institution

University of California, Los Angeles

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evolutionary data mining

Xiangliang Lynn Zhang

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evolutionary data mining

optimization-based data mining

Peter Szolovits

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Fenglong Ma

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health care analytics

Lise C Getoor

Institution

University of California, Santa Cruz

database theory

applied artificial intelligence

Adam Perer

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Leman Akoglu

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data preparation

digital image processing