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Yingying Zhu

[Yingying Zhu]

Assistant Professor, Computer Science and Engineering
Last Updated: June 14, 2021
about me

Teaching Interests

Teaching Interests
Machine Learning, Computer Vision, Deep Learning

Biography

Biography

Yingying zhu, Ph.D., is an Assistant Professor at the Computer Science & Engineering Department of University of Texas at Arlington (UTA). Dr. Zhu received her Ph.D. in Computer Science from University of Queensland, Australia in 2014. Before she joined UTA, Dr. Zhu was a staff scientist in the Clinical Center, NIH (2019-2020) and a Postdoctoral Scholar at UNC chapel hill (2015-2017) and Cornell University (2017-2019).

Appointments

Appointments

    • Aug 2020 to Present Assistant Professor
      University of Texas at Arlington, CSE department
    • Aug 2019 to Aug 2020 Staff Scientist
      Clinical Center, NIH

News Articles

News Articles

Other Activities

Other Activities

      • Aug 2020
        Working as guest researcher in clinical center NIH for medical imaging analysis. (bethesda)
        NIH

Publications


      2020
      In Process
      • Journal Article
        COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image col- lection on COVID-19 from biomedical literature,
        []. Accepted.
      • Journal Article
        An Interpretable Generative Model for Abnormal Disease Separation and Radio-realistic Normal Chest X-ray Synthesis
        []. Published.
      • Journal Article
        COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
        [Peng, Yifan , Tang, Yuxing , Lee, Sungwon , Zhu, Yingying, Lu, Zhiyong, Summers, Ronald]. Accepted.
      • Journal Article
        Multimodal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
        [Chen, Qingyu, Keenan, Tiarnan , Allot, Alexis, peng, yifan, Elvira, Agron , Domalpally, Amitha, Luttikhuizen, Daniel , Klaver, Caroline , Cukras, Catherine , Magone De Quadros Costa, Teresa , Cousineau-Krieger, Chantal , Wong, Wai , zhu, yingying, Chew, Emily, lu, Zhiyong]. Journal of the American Medical Informatics Association. Accepted.
      • Journal Article
        Anomaly detection in chest radiographs with a deep generative adversarial one-class classifier
        [Tang, Yuxing, Tang, Youbao, Zhu, Yingying, Summers, Ronald]. Submitted.
      • Journal Article
        Plaque Burden on Abdominal CT: Automated Assessment with Deep Learning on Non-contrast and Contrast-enhanced Scans
        []. Published.

      In Process
      • Conference Proceeding
        Source-data Free Domain Adaptation of Object Detector through Domain Specific Perturbation
        [xiong, Lin , Ye, Mao, Li, Xue, zhu, yingying]. Submitted.
      • Conference Proceeding
        Data Isolated Domain Adaption
        [Zhu, Ming , Ye, Mao, Li, Ruijiang, zhu, yingying]. Submitted.
      • Conference Proceeding
        Automatic recognition of abdominal lymph nodes from clinical text,
        []. Accepted.
      • Conference Proceeding
        Gradient Leaking of Federal Learning on Multi-Label and Multi- Modality Medical Dataset
        [Li, Zheng, Zhu, Yingying]. Submitted.
      • Conference Proceeding
        Automatic recognition of abdominal lymph nodes from clinical text
        [Peng, Yifan, lee, Sungwon , Elton, Daniel, Shen, Thomas , Tang, Yuxing, Chen, Qingyu, Wang, Shuai, Zhu, Yingying, Summers, Ronald, Lu, Zhiyong]. Accepted.
      • Conference Proceeding
        Cross-Domain Medical Imaging Translation using Shared Gaussian Mixture Model,
        []. Published.
      • Conference Proceeding
        E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
        []. Published.
      • Conference Proceeding
        Parallel Label Embedding viA State attEntion Transformer (PLEASE-Transformer) for X-ray Report Generation
        [Nguyen, Hoang , NIE, Dong , Badamdorj, Taivanbat , Truong, Jason, Liu, Yujie, Zhu, Yingying, Cheng, Li]. Submitted.
      • Conference Proceeding
        Global-Local Attention Network with Multi-task Uncertainty Loss for Abnormal Lymph Node Detection in MR Images,
        [Wang, Shuai, Zhu, Yingying, Summers, Ronald ]. Submitted.
      • Conference Proceeding
        Learning Structured Graphs from VisualSemantic Feature and Radiology Ontology Graph for Lymph Node Classification
        [Zhu, Yingying, Wang, Shuai, Chen, Qingyu, Lu, Zhiyong , Summers, Ronald]. Submitted.
      • Conference Proceeding
        Cross-Domain Artery Calcified Plaque Segmentation via Union-of-Subspace Image-to-Image Translation
        []. Published.

Presentations

    • October  2020
      Zhu, Yingying, "Cross-domain medical image translation by shared latent Gaussian mixture model". (October 5, 2020).

Students Supervised

    • Present
      Graduate Supervised Research
      Amnah Abdelrahman,
    • Present
      Graduate Supervised Research
      houliang zhou, (Computer Science and Engineer)
    • Present
      Graduate Supervised Research
      Arkajyoti Mitra,

Courses

      • CSE 6363-004 MACHINE LEARNING
        (Course Id: 102604)
        Spring - Regular Academic Session - 2021
      • CSE 6363-900 MACHINE LEARNING
        (Course Id: 102604)
        Spring - Regular Academic Session - 2021
      • CSE 5698-020 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2021
      • CSE 5368-001 NEURAL NETWORKS
        (Course Id: 102558)
        Spring - Regular Academic Session - 2021
      • CSE 5368-900 NEURAL NETWORKS
        (Course Id: 102558)
        Spring - Regular Academic Session - 2021
      • CSE 6397-038 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2021
      • CSE 6697-038 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2021
      • CSE 4391-002 INDIVIDUAL PROJECTS
        (Course Id: 102488)
        Fall - Regular Academic Session - 2020
      • CSE 5368-002 NEURAL NETWORKS
        (Course Id: 102558)
        Fall - Regular Academic Session - 2020 Download Syllabus
      • CSE 5368-900 NEURAL NETWORKS
        (Course Id: 102558)
        Fall - Regular Academic Session - 2020
      • CSE 6397-038 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2020

Service to the Profession

    • Dec 2020 to  Present
      Committee Member
      PETRA 2021 (The 14th PErvasive Technologies Related to Assistive Environments Conference)
    • Oct 2020 to  Present
      Reviewer, Conference Paper
      IJCAI 2021
    • Oct 2020 to  May 2021
      Reviewer, Conference Paper
      IPMI 2021
    • Sept 2020 to  Oct 2020
      Reviewer, Conference Paper
      AAAI 2021