| Augmented sliced Wasserstein distances X Chen, Y Yang, Y Li International Conference on Learning Representations (ICLR), 2022 | 17 | 2022 |
| Differentiable particle filters through conditional normalizing flow X Chen, H Wen, Y Li 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-6, 2021 | 16 | 2021 |
| End-to-end semi-supervised learning for differentiable particle filters H Wen, X Chen, G Papagiannis, C Hu, Y Li 2021 IEEE International Conference on Robotics and Automation (ICRA), 5825-5831, 2021 | 16 | 2021 |
| Visual crowd counting with improved Inception-ResNet-A module X Chen, R Guo, W Luo, C Fu 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 112-119, 2018 | 8 | 2018 |
| Differentiable Bootstrap Particle Filters for Regime-Switching Models W Li, X Chen, W Wang, V Elvira, Y Li IEEE Statistical Signal Processing (SSP) Workshop, 2023 | 4 | 2023 |
| An overview of differentiable particle filters for data-adaptive sequential Bayesian inference X Chen, Y Li arXiv preprint arXiv:2302.09639, 2023 | 4 | 2023 |
| Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow X Chen, Y Li European Signal Processing Conference (EUSIPCO), 2022 | 4 | 2022 |
| Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection X Chen, Y Li, Y Yang International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 | 2 | 2023 |
| Normalising Flow-based Differentiable Particle Filters X Chen, Y Li arXiv preprint arXiv:2403.01499, 2024 | | 2024 |
| Learning Differentiable Particle Filter on the Fly J Li, X Chen, Y Li arXiv preprint arXiv:2312.05955, 2023 | | 2023 |
| Data-adaptive Uncertainty Quantification and Propagation with Optimal Transport and Differentiable Particle Filters X Chen University of Surrey, 2023 | | 2023 |
Yunpeng LiSenior Lecturer, School of Computer Science and Electronic Engineering, University of SurreyVerified email at surrey.ac.uk
