Chun-Wun Cheng

24 papers A* 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising.
CoRR
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
2026 J jnl
LEGATO: Good Identity Unlearning Is Continuous.
CoRR
Qiang Chen, Chun-Wun Cheng, Xiu Su, Hongyan Xu, Xi Lin, Shan You, Angelica I. Avilés-Rivero, Yi Chen
2026 J jnl
MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising.
CoRR
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
2026 J jnl
Mamba neural operator: Who wins? transformers vs. state-space models for PDEs.
J. Comput. Phys.
Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2026 J jnl
ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection.
CoRR
Chun-Wun Cheng, Yanqi Cheng, Peiyuan Jing, Guang Yang, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2026 J jnl
Product Interaction: An Algebraic Formalism for Deep Learning Architectures.
CoRR
Haonan Dong, Chun-Wun Cheng, Angelica I. Avilés-Rivero
2026 J jnl
SpectraKAN: Conditioning Spectral Operators.
CoRR
Chun-Wun Cheng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2026 J jnl
Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models.
CoRR
Yi Zhang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Zhihai He, Liang-Jie Zhang
2025 A* conf
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations.
AAAI
Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero
2025 J jnl
DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior.
CoRR
Yanqi Cheng, Chun-Wun Cheng, Jim Denholm, Thiago Lima, Javier A. Montoya-Zegarra, Richard Goodwin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025 — conf
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation.
MICCAI (11)
Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025 J jnl
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation.
CoRR
Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier Montoya, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025 J jnl
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting.
CoRR
Huibo Xu, Likang Wu, Xianquan Wang, Haoning Dang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Qi Liu
2025 J jnl
PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils.
CoRR
Chun-Wun Cheng, Bin Dong, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025 J jnl
Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning.
CoRR
Yi Zhang, Chun-Wun Cheng, Junyi He, Ke Yu, Yushun Tang, Carola-Bibiane Schönlieb, Zhihai He, Angelica I. Avilés-Rivero
2025 J jnl
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey.
Trans. Mach. Learn. Res.
Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 J jnl
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis.
CoRR
Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb
2024 J jnl
Continuous U-Net: Faster, Greater and Noiseless.
Trans. Mach. Learn. Res.
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 J jnl
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations.
CoRR
Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero
2024 J jnl
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs.
CoRR
Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 J jnl
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning.
CoRR
Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 J jnl
The Missing U for Efficient Diffusion Models.
Trans. Mach. Learn. Res.
Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 J jnl
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey.
CoRR
Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2023 J jnl
Continuous U-Net: Faster, Greater and Noiseless.
CoRR
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero