Publications

2024

  1. Normalising Flow-based Differentiable Particle Filters
    Xiongjie Chen, and Yunpeng Li
    IEEE Transactions on Signal Processing (submitted), 2024

2023

  1. Differentiable bootstrap particle filters for regime-switching models
    Wenhan Li, Xiongjie Chen, Wenwu Wang, Vı́ctor Elvira, and Yunpeng Li
    In IEEE Statistical Signal Processing Workshop (SSP), 2023
  2. An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
    Xiongjie Chen, and Yunpeng Li
    Foundations of Data Science, American Institute of Mathematical Sciences, 2023
  3. Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection
    Xiongjie Chen, Yunpeng Li, and Yongxin Yang
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  4. Learning Differentiable Particle Filter on the Fly
    Jiaxi Li, Xiongjie Chen, and Yunpeng Li
    arXiv preprint arXiv:2312.05955, 2023

2022

  1. Augmented Sliced Wasserstein Distances
    Xiongjie Chen, Yongxin Yang, and Yunpeng Li
    In International Conference on Learning Representations (ICLR), 2022
  2. Conditional measurement density estimation in sequential Monte Carlo via normalizing flow
    Xiongjie Chen, and Yunpeng Li
    In IEEE European Signal Processing Conference (EUSIPCO), 2022

2021

  1. Differentiable particle filters through conditional normalizing flow
    Xiongjie Chen, Hao Wen, and Yunpeng Li
    In IEEE International Conference on Information Fusion (FUSION), 2021
  2. End-to-end semi-supervised learning for differentiable particle filters
    Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, and Yunpeng Li
    In IEEE International Conference on Robotics and Automation (ICRA), 2021

2018

  1. Visual crowd counting with improved Inception-ResNet-A module
    Xiongjie Chen, Ruiqin Guo, Wei Luo, and Changhong Fu
    In IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018