Publications

A list of selected publications in journals, machine leanring (ML) and signal processing (SP) conference proceedings, by year of publication for published articles, and year of submission for preprints. A full list of works is available on Google Scholar.

Copyright note. This material is presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by the copyright holders. All persons accessing this information are expected to adhere to the terms and constraints invoked by each case’s copyright. Unless permitted by the license, these works may not be copied or re-posted without explicit permission.

* denotes equal contribution.

Journal and ML Conf. papers

  1. ICML
    Non-parametric Online Change Point Detection on Riemannian Manifolds
    Xiuheng Wang, Ricardo Borsoi , and Cédric Richard
    Proc. International Conference on Machine Learning, 2024
  2. T-GRS
    Deep Hyperspectral and Multispectral Image Fusion with Inter-image Variability
    Xiuheng Wang, Ricardo Borsoi , Cédric Richard , and Jie Chen
    IEEE Transactions on Geoscience and Remote Sensing, 2023
  3. T-GRS
    Tuning-free plug-and-play hyperspectral image deconvolution with deep priors
    Xiuheng Wang, Jie Chen , and Cédric Richard
    IEEE Transactions on Geoscience and Remote Sensing, 2023
  4. SPM
    Integration of physics-based and data-driven models for hyperspectral image unmixing: A summary of current methods
    Jie Chen , Min Zhao , Xiuheng Wang, Cédric Richard , and Susanto Rahardja
    IEEE Signal Processing Magazine, 2023
  5. T-CSVT
    Hyperspectral image super-resolution via deep prior regularization with parameter estimation
    Xiuheng Wang, Jie Chen , Qi Wei , and Cédric Richard
    IEEE Transactions on Circuits and Systems for Video Technology, 2021
  6. T-GRS
    A plug-and-play priors framework for hyperspectral unmixing
    Min Zhao* , Xiuheng Wang*, Jie Chen , and Wei Chen
    IEEE Transactions on Geoscience and Remote Sensing, 2021

SP Conf. papers

  1. ICASSP
    Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA
    Xiuheng Wang, Ricardo Borsoi , and Cédric Richard
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing , 2024
  2. ACSSC
    Distributed Change Point Detection in Streaming Manifold-valued Signals over Graphs
    Xiuheng Wang, Ricardo Borsoi , Cédric Richard , and André Ferrari
    In Proc. Asilomar Conference on Signals, Systems, and Computers , 2023
  3. EUSIPCO
    Online change point detection on Riemannian manifolds with Karcher mean estimates
    Xiuheng Wang, Ricardo Borsoi , and Cédric Richard
    In Proc. European Signal Processing Conference , 2023
  4. GRETSI
    Détection de changements dans des signaux sur graphe à valeur dans des variétés riemanniennes
    Xiuheng Wang, Ricardo Borsoi , Cédric Richard , and André Ferrari
    In Proc. Colloque Francophone de Traitement du Signal et des Images , 2023
  5. ICASSP
    Change Point Detection with Neural Online Density-Ratio Estimator
    Xiuheng Wang, Ricardo Borsoi , Cédric Richard , and Jie Chen
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing , 2023
  6. ACSSC
    Deep Image Fusion Accounting for Inter-Image Variability
    Xiuheng Wang, Ricardo Borsoi , Cédric Richard , and Jie Chen
    In Proc. Asilomar Conference on Signals, Systems, and Computers , 2022
  7. ICASSP
    Hyperspectral image super-resolution with deep priors and degradation model inversion
    Xiuheng Wang, Jie Chen , and Cédric Richard
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing , 2022
  8. ICIP
    Hyperspectral unmixing via plug-and-play priors
    Xiuheng Wang, Min Zhao , and Jie Chen
    In Proc. IEEE International Conference on Image Processing , 2020
  9. ICASSP
    Learning spectral-spatial prior via 3DDNCNN for hyperspectral image deconvolution
    Xiuheng Wang, Jie Chen , Cédric Richard , and David Brie
    In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing , 2020