Faculty

Institution

Unit

Venue

Yingying Zhu

Assistant Professor

University of Texas at Arlington

Affiliations

College of Engineering

Computer Science and Engineering

Yingying Zhu is currently serving as a College Of Engineering Assistant Professor at University of Texas At Arlington.

Honors

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Experiences

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Education

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Yingying Zhu

University of Texas at Arlington

Assistant Professor

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machine learning computer science medicine medical imaging medical image analysis computer vision image analysis neuroimaging deep learning radiology informatics medical image computing computational neuroscience biomedical imaging neuroinformatics health sciences scientific computing computer-aided diagnosis biomedical informatics computational imaging machine vision knowledge discovery computed tomography brain imaging image segmentation computational intelligence machine learning research feature selection hypergraph theory automatic classification disease diagnosis integrative analyses dynamic functional connectivity image representation respiratory medicine 3d reconstruction computational medicine classification method self-supervised learning domain adaptation neurocomputers image classification early diagnosis ct scan trajectory reconstruction multi-modal classification cancer imaging digital medicine experimental gerontology world wide web knowledge-based systems pattern analysis human image synthesis generative models disease classification support vector machines movement analysis later adulthood radiographic imaging abdominal imaging temporal pattern recognition brain function spatial cognition structure discovery chest x-ray biomedical literature normal image synthesis disentangled generative model disease decomposition real-world camera motion motion reconstruction accurate liver tumor segmentation edge enhanced network joint feature selection reticular pseudodrusen ai integration bio-inspired computation medical imaging analysis artificial general intelligence intelligent diagnostics applied artificial intelligence ai healthcare intelligent computing ai architecture data science artificial intelligence intelligent systems natural computing industrial artificial intelligence neural network (machine learning)

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Identification of Parkinson’s Disease Pace Subtypes and Repurposing Treatments Through Integrative Analyses of Multimodal Data. npj Digital Medicine (2024)

Chang SuYu HouJielin XuZhenxing XuManqi ZhouAlison KeHaoyang LiJie XuMatthew BrendelJacqueline R. M. A. MaaschZilong BaiHaotan ZhangYingying ZhuMolly C. CincottaXinghua ShiClaire HenchcliffeJames B. LeverenzJeffrey CummingsMichael S. OkunJiang BianFeixiong ChengFei Wang

neurologymedicinemultimodal dataparkinson's diseasemovement analysisintegrative analysesbiostatisticsdigital medicine

Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal Mr Imaging Data. UNC Libraries (2024)

Zhu, YingyingKim, MinjeongZhu, XiaofengKaufer, DanielWu, GuorongAlzheimer's Disease Neuroimaging Initiative

magnetic resonance imagingneurologymedicinebiomedical imagingneuroimagingdiagnosisbrain imagingmedical imagingmedical image computingimage analysisearly diagnosisdisease diagnosisalzheimer's diseasemedical image analysisneuroscience

Utilizing Domain Knowledge to Improve Intravenous Contrast Phase Classification of Ct Scans. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Liangchen LiuJianfei LiuPritam MukherjeeAkshaya anandYingying ZhuBikash SantraRonald M. Summers

radiologymedical imagingcomputed tomographydomain knowledgebiomedical imaging

Utilizing Domain Knowledge to Improve the Classification of Intravenous Contrast Phase of Ct Scans. Computerized Medical Imaging and Graphics (2024)

Liangchen LiuJianfei LiuBikash SantraChristopher ParnellPritam MukherjeeTejas MathaiYingying ZhuAkshaya AnandRonald M Summers

ct scanintravenous contrast phasemedical imagingmedical image computingdomain knowledgebiomedical imagingmedical image analysiscomputer science

A Privacy-Preserving Trajectory Mining Model. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Ziyang WangSissi Xiaoxiao WuJunjie ZhuYingying Zhu

knowledge discoverydata privacydata miningdata science

Dual Frame-Level and Region-Level Alignment for Unsupervised Video Domain Adaptation. Neurocomputing (2023)

Xinyue HuYingying Zhu

region-level alignmentneurocomputersneuroinformaticsneural computationdual frame-levelmachine learningneuroscience

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023)

Xinyue HuLin GuQiyuan AnMengliang ZhangLiangchen LiuKazuma KobayashiTatsuya HaradaRonald M. SummersYingying Zhu

medicinemachine learningquestion answeringknowledge-based reasoninggeometric learningartificial intelligencedeep learningknowledge-based systemsmachine visionimage analysisknowledge discoverycomputational intelligenceimage representationvisual question answeringmedical image analysiscomputer sciencehealth sciencesknowledge representation and reasoning

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. arXiv (Cornell University) (2023)

Zhang, MengliangHu, XinyueGu, LinLiu, LiangchenKobayashi, KazumaHarada, TatsuyaSummers, Ronald M.Zhu, Yingying

medical diagnosisdeep learningmachine learning researchhealth informaticscomputer-aided diagnosismachine learninghealth sciencesuncertainty quantificationgraph processingmedical imagingmedical image computingbiomedical imagingexpert uncertaintymedical image analysismulti-relationship graph learningradiologygraph analysisstatisticsrespiratory medicine

Improving Automatic Segmentation of Lymphoma With Additional Medical Knowledge Priors. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)

Liangchen LiuBenjamin HouManas Kumar NagJianfei LiuNavid HasaniThomas C. ShenYingying ZhuBabak SabouryJing XiaoRonald M. Summers

medicineoncologyautomatic segmentationimage segmentation

Metaverse User Portrait Construction Based on Human Gaze-Tracking Data. (2023)

Xiaomei DengSissi Xiaoxiao WuHuijun DingYingying Zhu

human gaze-tracking datahuman-computer interactionuser experiencecomputer visionmetaversemachine visionuser researchimage analysisdata sciencebiometricscognitive sciencemachine learningbehavioral sciences

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Yingying Zhu

Assistant Professor

University of Texas at Arlington

Affiliations

College of Engineering

Computer Science and Engineering

Yingying Zhu is currently serving as a College Of Engineering Assistant Professor at University of Texas At Arlington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yingying Zhu

University of Texas at Arlington

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Identification of Parkinson’s Disease Pace Subtypes and Repurposing Treatments Through Integrative Analyses of Multimodal Data. npj Digital Medicine (2024)

neurologymedicinemultimodal dataparkinson's diseasemovement analysisintegrative analysesbiostatisticsdigital medicine

Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal Mr Imaging Data. UNC Libraries (2024)

Zhu, YingyingKim, MinjeongZhu, XiaofengKaufer, DanielWu, GuorongAlzheimer's Disease Neuroimaging Initiative

Utilizing Domain Knowledge to Improve Intravenous Contrast Phase Classification of Ct Scans. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Liangchen LiuJianfei LiuPritam MukherjeeAkshaya anandYingying ZhuBikash SantraRonald M. Summers

radiologymedical imagingcomputed tomographydomain knowledgebiomedical imaging

Utilizing Domain Knowledge to Improve the Classification of Intravenous Contrast Phase of Ct Scans. Computerized Medical Imaging and Graphics (2024)

Liangchen LiuJianfei LiuBikash SantraChristopher ParnellPritam MukherjeeTejas MathaiYingying ZhuAkshaya AnandRonald M Summers

ct scanintravenous contrast phasemedical imagingmedical image computingdomain knowledgebiomedical imagingmedical image analysiscomputer science

A Privacy-Preserving Trajectory Mining Model. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Ziyang WangSissi Xiaoxiao WuJunjie ZhuYingying Zhu

knowledge discoverydata privacydata miningdata science

Dual Frame-Level and Region-Level Alignment for Unsupervised Video Domain Adaptation. Neurocomputing (2023)

Xinyue HuYingying Zhu

region-level alignmentneurocomputersneuroinformaticsneural computationdual frame-levelmachine learningneuroscience

Xinyue HuLin GuQiyuan AnMengliang ZhangLiangchen LiuKazuma KobayashiTatsuya HaradaRonald M. SummersYingying Zhu

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. arXiv (Cornell University) (2023)

Zhang, MengliangHu, XinyueGu, LinLiu, LiangchenKobayashi, KazumaHarada, TatsuyaSummers, Ronald M.Zhu, Yingying

Improving Automatic Segmentation of Lymphoma With Additional Medical Knowledge Priors. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)

Liangchen LiuBenjamin HouManas Kumar NagJianfei LiuNavid HasaniThomas C. ShenYingying ZhuBabak SabouryJing XiaoRonald M. Summers

medicineoncologyautomatic segmentationimage segmentation

Metaverse User Portrait Construction Based on Human Gaze-Tracking Data. (2023)

Xiaomei DengSissi Xiaoxiao WuHuijun DingYingying Zhu

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Similar Faculty Members

Dajiang Zhu

Institution

University of Texas at Arlington

big data

biomedical imaging

Yiyu Shi

Institution

University of Notre Dame

computer engineering

ai healthcare

Ming Dong

Institution

Wayne State University

machine learning

computer science

Khan Iftekharuddin

Institution

Old Dominion University

digital image processing

image processor

Ioannis Kakadiaris

Institution

University of Houston

ai healthcare

biometrics

Khan Iftekharuddin

Institution

University of Memphis

signal processing

biomedical imaging

Danny Ziyi Chen

Institution

University of Notre Dame

radiology

biomedical imaging

Adel S Elmaghraby

Institution

University of Louisville

neural networks

intelligent systems

Ipek Oguz

Institution

Vanderbilt University

medical imaging

data science

Khoa Luu

Institution

University of Arkansas

multifactor analysis

biometrics