Video-TransUNet: temporally blended vision transformer for CT VFSS instance segmentation. - Chengxi Zeng; Xinyu Yang 003; Majid Mirmehdi; Alberto M. Gambaruto; Tilo Burghardt (ICMV, 2022)

Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation. - Chengxi Zeng; Xinyu Yang 003; David Smithard; Majid Mirmehdi; Alberto M. Gambaruto; Tilo Burghardt (ICIP, 2023)

Training dynamics in Physics-Informed Neural Networks with feature mapping. - Chengxi Zeng; Tilo Burghardt; Alberto M. Gambaruto (CoRR, 2024)

RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks. - Chengxi Zeng; Tilo Burghardt; Alberto M. Gambaruto (CoRR, 2024)

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations. - Chengxi Zeng; David Smithard; Alberto M. Gambaruto; Tilo Burghardt (CoRR, 2025)

C2D-ISR: Optimizing Attention-based Image Super-resolution from Continuous to Discrete Scales. - Yuxuan Jiang; Chengxi Zeng; Siyue Teng; Fan Zhang 017; Xiaoqing Zhu; Joel Sole; David Bull 001 (CoRR, 2025)

Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation. - Chengxi Zeng; Yuxuan Jiang; Fan Zhang 017; Alberto M. Gambaruto; Tilo Burghardt (CoRR, 2025)

Compressed Video Super-Resolution based on Hierarchical Encoding. - Yuxuan Jiang; Siyue Teng; Qiang Zhu; Chen Feng 008; Chengxi Zeng; Fan Zhang 017; Shuyuan Zhu; Bing Zeng; David Bull 001 (CoRR, 2025)