Xinrui Cui

Previous Scheduled Teaching

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.
• Gao, Y., Liu, A., Cui, X., Qian, R., Chen, X. (2022). A general sample-weighted framework for epileptic seizure prediction. Computers in Biology and Medicine. 150 106169. Elsevier BV. https://doi.org/10.1016/j.compbiomed.2022.106169
• 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.

Contracts, Grants and 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).