Chun-Wun Cheng

According to our database, Chun-Wun Cheng authored at least 21 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CATO: Charted Attention for Neural PDE Operators.

Chun-Wun Cheng, Sifan Wang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, May, 2026

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection.

Chun-Wun Cheng, Yanqi Cheng, Peiyuan Jing, Guang Yang, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, March, 2026

MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising.

Peiyuan Jing, Chun-Wun Cheng, Liutao Yang, Zhenxuan Zhang, Thiago V. Lima, Klaus Strobel, Antoine Leimgruber, Angelica I. Avilés-Rivero, Guang Yang, Javier A. Montoya-Zegarra

CoRR, March, 2026

SpectraKAN: Conditioning Spectral Operators.

Chun-Wun Cheng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, February, 2026

Product Interaction: An Algebraic Formalism for Deep Learning Architectures.

Haonan Dong, Chun-Wun Cheng, Angelica I. Avilés-Rivero

CoRR, February, 2026

Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models.

Yi Zhang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Zhihai He, Liang-Jie Zhang

CoRR, January, 2026

3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising.

Peiyuan Jing, Yue Tang, Chun-Wun Cheng, Zhenxuan Zhang, Liutao Yang, Thiago V. Lima, Klaus Strobel, Antoine Leimgruber, Angelica I. Avilés-Rivero, Guang Yang, Javier Montoya

CoRR, January, 2026

LEGATO: Good Identity Unlearning Is Continuous.

Qiang Chen, Chun-Wun Cheng, Xiu Su, Hongyan Xu, Xi Lin, Shan You, Angelica I. Avilés-Rivero, Yi Chen

CoRR, January, 2026

Mamba neural operator: Who wins? transformers vs. state-space models for PDEs.

Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

J. Comput. Phys., 2026

2025

Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning.

Yi Zhang, Chun-Wun Cheng, Junyi He, Ke Yu, Yushun Tang, Carola-Bibiane Schönlieb, Zhihai He, Angelica I. Avilés-Rivero

CoRR, December, 2025

DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior.

Yanqi Cheng, Chun-Wun Cheng, Jim Denholm, Thiago Lima, Javier A. Montoya-Zegarra, Richard Goodwin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, November, 2025

PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils.

Chun-Wun Cheng, Bin Dong, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, September, 2025

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting.

Huibo Xu, Likang Wu, Xianquan Wang, Haoning Dang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Qi Liu

CoRR, July, 2025

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation.

Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier Montoya, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, March, 2025

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey.

Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2025

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation.

Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations.

Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Continuous U-Net: Faster, Greater and Noiseless.

Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2024

The Missing U for Efficient Diffusion Models.

Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2024

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning.

Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2024

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis.

Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb

CoRR, 2024