Kevin Bui

Publications

Google Scholar

Journal Publications:

  1. Kevin Bui, Zichao (Wendy) Di. A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation. Inverse Problems, 2024. [Code]
  2. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin. An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. Communications on Applied Mathematics and Computation, 2024. [Code]
  3. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin. Difference of Anisotropic and Isotropic TV for Segmentation under Blur and Poisson Noise. Frontiers in Computer Science, 2023. [Code]
  4. Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin. Improving Network Slimming with Nonconvex Regularization. IEEE Access, 2021. [Code]
    Note: Journal version of “Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.”
  5. Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin. A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. SIAM Journal on Imaging Sciences, 2021. [Code]
  6. Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin. Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers in Applied Mathematics and Statistics, 2021. [Code]
  7. Kevin Bui, Jacob Fauman, David Kes, Leticia Torres Mandiola, Adina Ciomaga, Ricardo Salazar, Andrea L Bertozzi, Jérôme Gilles, Dominic P Goronzy, Andrew I Guttentag, Paul S Weiss. Segmentation of scanning tunneling microscopy images using variational methods and empirical wavelets. Pattern Analysis and Applications, 2020. [Code] [Errata]
  8. Kevin Bui, Vikram Kilambi, Sanjay Mehrotra. Functional status‐based risk–benefit analyses of high‐KDPI kidney transplant versus dialysis. Transplant International, 2019.
  9. Kevin Bui, Vikram Kilambi, James R Rodrigue, Sanjay Mehrotra. Patient functional status at transplant and its impact on posttransplant survival of adult deceased-donor kidney recipients. Transplantation, 2019.
  10. Vikram Kilambi, Kevin Bui, Gordon B Hazen, John J Friedewald, Daniela P Ladner, Bruce Kaplan, Sanjay Mehrotra. Evaluation of accepting kidneys of varying quality for transplantation or expedited placement with decision trees. Transplantation, 2019.
  11. Sanjay Mehrotra, Vikram Kilambi, Kevin Bui, Richard Gilroy, Sophoclis P Alexopoulos, David S Goldberg, Daniela P Ladner, Goran B Klintmalm. A concentric neighborhood solution to disparity in liver access that contains current UNOS districts. Transplantation, 2018.
  12. Vikram Kilambi, Kevin Bui, Sanjay Mehrotra. LivSim: an open-source simulation software platform for community research and development for liver allocation policies. Transplantation, 2018. [Code]
  13. Andrew I Guttentag, Kristopher K Barr, Tze-Bin Song, Kevin V Bui, Jacob N Fauman, Leticia F Torres, David D Kes, Adina Ciomaga, Jérôme Gilles, Nichole F Sullivan, Yang Yang, David L Allara, Michael Zharnikov, Paul S Weiss. Hexagons to ribbons: Flipping cyanide on Au {111}. Journal of the American Chemical Society, 2016.

Conference Proceedings:

  1. Yu Lu, Kevin Bui, Roummel F. Marcia. Negative Binomial Matrix Completion. Accepted in 2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September 2024.
  2. Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin. An Image Segmentation Model with Transformed Total Variation. Accepted in European Signal Processing Conference, 2024, August 2024. [Code]
  3. Yu Lu, Kevin Bui, Roummel F. Marcia. Alternating Direction Method of Multipliers for Negative Binomial Model with The Weighted Difference of Anisotropic and Isotropic Total Variation. Accepted in 2024 IEEE International Conference on Multimedia and Expo (ICME), July 2024.
  4. Jiahao Pang, Kevin Bui, Dong Tian. PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression. In International Conference on 3D Vision 2024, March 2024.
  5. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin. Weighted Anisotropic–Isotropic Total Variation for Poisson Denoising. In 2023 IEEE International Conference on Image Processing, October 2023. [Code]
  6. Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin. A Proximal Algorithm for Network Slimming. In 9th International Conference on Machine Learning, Optimization, and Data Science, September 2023. [Code]
  7. Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin. Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. In 15th International Symposium on Visual Computing, October 2020. [Code] Awarded Springer-Verlag Best Paper Award.
  8. Jing Qin, Thomas Laurent, Kevin Bui, Ricardo VR Tan, Jasmine Dahilig, Shuyi Wang, Jared Rohe, Justin Sunu, Andrea L Bertozzi. Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization. In Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral,and Ultraspectral Imagery XXI, Volume 9472, pp.94720V/1-11, April 2015.