Visual Crowd Counting with Improved Inception-ResNet-A Module. - Xiongjie Chen; Ruiqin Guo; Wei Luo; Changhong Fu 001 (ROBIO, 2018)

Differentiable Particle Filters through Conditional Normalizing Flow. - Xiongjie Chen; Hao Wen; Yunpeng Li 001 (FUSION, 2021)

End-to-End Semi-supervised Learning for Differentiable Particle Filters. - Hao Wen; Xiongjie Chen; Georgios Papagiannis; Conghui Hu; Yunpeng Li 001 (ICRA, 2021)

Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. - Xiongjie Chen; Yunpeng Li 001 (EUSIPCO, 2022)

Augmented Sliced Wasserstein Distances. - Xiongjie Chen; Yongxin Yang; Yunpeng Li 004 (ICLR, 2022)

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. - Xiongjie Chen; Yunpeng Li 001; Yongxin Yang (CoRR, 2022)

Learning Differentiable Particle Filter on the Fly. - Jiaxi Li; Xiongjie Chen; Yunpeng Li 004 (ACSSC, 2023)

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection. - Xiongjie Chen; Yunpeng Li 004; Yongxin Yang (ICASSP, 2023)

Differentiable Bootstrap Particle Filters for Regime-Switching Models. - Wenhan Li; Xiongjie Chen; Wenwu Wang 001; Víctor Elvira; Yunpeng Li 001 (SSP, 2023)

An overview of differentiable particle filters for data-adaptive sequential Bayesian inference. - Xiongjie Chen; Yunpeng Li 001 (CoRR, 2023)

Learning Differentiable Particle Filter on the Fly. - Jiaxi Li; Xiongjie Chen; Yunpeng Li 001 (CoRR, 2023)

Revisiting semi-supervised training objectives for differentiable particle filters. - Jiaxi Li; John-Joseph Brady; Xiongjie Chen; Yunpeng Li 004 (SAM, 2024)

Normalising Flow-based Differentiable Particle Filters. - Xiongjie Chen; Yunpeng Li 001 (CoRR, 2024)

Normalizing Flow-Based Differentiable Particle Filters. - Xiongjie Chen; Yunpeng Li 001 (IEEE Trans. Signal Process., 2025)