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Dr. Xinrui Cui

Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Xinrui.Cui@unt.edu

Education

  • PhD, University of British Columbia, 2020
    Major: Electrical and Computer Engineering
    Dissertation: Interpretability of Deep Convolutional Neural Networks in Image Analysis

Professional Memberships

  • Institute of Electrical and Electronics Engineers. (2020 - 2024).

Development Activities

  • Workshop, ACUE's course in Effective Teaching Practices, Association of College and University Educators (ACUE). United States of America. (2024 - 2025).
  • Workshop, Fall Faculty Grantsmanship Workshop, University of North Texas. United States of America. (December 10, 2024 - December 10, 2024).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 4205 - Introduction to Machine Learning, 1 course.
  • CSCE 5215 - Machine Learning, 4 courses.
  • CSCE 5950 - Master's Thesis, 1 course.
  • CSCE 6940 - Individual Research, 1 course.

Non-Credit Instruction

  • Seminar, (September 17, 2024 - September 17, 2024).
  • Seminar, (February 17, 2024 - February 17, 2024).

Directed Student Learning

  • Directed Individual/Independent Study, Computer Science and Engineering. (2024).
  • Dissertation Committee Member, Computer Science and Engineering. (2024).
  • Major Professor, Computer Science and Engineering. (2024).

Awards and Honors

  • Four-Year Doctoral Fellowship, University of British Columbia. (2016).
  • International Tuition Award, University of British Columbia. (2016).
  • Graduate Support Initiative Award, University of British Columbia. (2019).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Wang, D., Cui, X. (2024). InNeRF: Learning Interpretable Radiance Fields for Generalizable 3D Scene Representation and Rendering.
  • Wang, D., Cui, X., Chen, X., Zou, Z., Shi, T., Salcudean, S., Wang, Z., Ward, R. (2021). Multi-view 3D Reconstruction with Transformers. International Conference on Computer Vision (ICCV).
  • Cui, X., Wang, Z. (2017). Sparse Unmixing based on Feature Pixels for Hyperspectral Imagery.

    • Journal Article

  • Zhang, Z., Liu, A., Gao, Y., Cui, X., Qian, R., Chen, X. (2024). Distilling Invariant Representations with Domain Adversarial Learning for Cross-Subject Children Seizure Prediction.
  • Wang, D., Cui, X., Chen, X., Ward, R., Wang, Z. (2021). Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference. IEEE Transactions on Image Processing.
  • Cui, X., Wang, D., Wang, Z. (2020). CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks.
  • Cui, X., Wang, D., Wang, Z. (2020). Feature-flow Interpretation of Deep Convolutional Neural Networks. IEEE Transactions on Multimedia.
  • Cui, X., Wang, D., Wang, Z. (2019). Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust based on Hierarchical Interpretation. IEEE Transactions on Multimedia.
  • Wang, D., Shi, Z., Cui, X. (2018). Robust Sparse Unmixing for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing.
  • Wang, D., Cui, X., Xie, F., Jiang, Z., Shi, Z. (2017). Multi-feature Sea-land Segmentation based on Pixel-wise Learning for Optical Remote Sensing Imagery. International Journal of Remote Sensing.
  • Liu, X., Chen, Y., Cui, X., Zeng, M., Yu, R., Wang, G. (2015). Flexible Nanocomposites with Enhanced Microwave Absorption Properties based on Fe3O4/SiO2 Nanorods and Polyvinylidene Fluoride. Journal of Materials Chemistry A.
  • Liu, X., Cui, X., Chen, Y., Zhang, X., Yu, R., Wang, G., Ma, H. (2015). Modulation of Electromagnetic Wave Absorption by Carbon Shell Thickness in Carbon Encapsulated Magnetite Nanospindles-poly(Vinylidene Fluoride) Composites. Carbon.
  • Liu, X., Cui, X., Liu, Y., Yin, Y. (2015). Stabilization of Ultrafine Metal Nanocatalysts on Thin Carbon Sheets. Nanoscale.
  • Liu, X., Cui, X., Chen, X., Yang, N., Yu, R. (2014). Shell-enhanced Photoluminescence and Ferromagnetism of Co : ZnS / Co : ZnO Core-shell Nanostructure. Materials Research Bulletin.
  • Liu, X., Chen, X., Cui, X., Yu, R. (2014). The Structure and Multifunctional Behaviors of Mn − ZnO/Mn − ZnS Nanocomposites. Ceramics International.

Presentations Given

    Poster

  • Alcantar, C. (Author & Presenter), Bucher, M. (Author), Compson, Z.G. (Author), Hoeinghaus, D.J. (Author), Junker, J. (Author), Bohenek, J. (Author), Marks, J. (Author), Cui, X. (Author), Chowdhury, F. (Author), AERI Research Day, Influence of Leaf Litter on Decomposition, Macroinvertebrate Communities, and Nutrient Transfer in Freshwater Ecosystems, University of North Texas, Sulphur, OK, United States of America. (2024 - 2024).

Contracts, Grants, Sponsored Research

    Grant - Research

  • Cui, X. (Principal), "Start-up funds," University of North Texas, $50000 Funded. (2024 - 2025).
  • Junker, J.R. (Principal), Compson, Z.G. (Co-Principal), Cui, X. (Co-Principal), "“AutoTaxonomizer”: Developing taxonomic- and morphology-informed neural networks for the analysis and identification of novel macroinvertebrate communities," sponsored by UNT College of Science/UNT College of Engineering, University of North Texas, $10000 Funded. (2024 - 2025).

Service

Professional Service

  • Reviewer, Journal Article, Artificial Intelligence Review. (2024 - Present).
  • Editor, Guest Editor, Electronics. (2024 - Present).
  • Committee Member, European Conference on Artificial Intelligence. (2024 - Present).
  • Reviewer, Conference Paper, International Conference on Pattern Recognition. (2024 - Present).
  • Reviewer, Journal Article, Neural Processing Letters. (2024 - Present).
  • Reviewer, Journal Article, Scientific Reports. (2024 - Present).