publications

Neural operators, scientific machine learning, medical imaging, and vision-language learning.

23 papers · 5 journal papers · 6 conference papers · 12 under review

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23 of 23 publications

* Equal contribution. Manuscripts under review are listed separately below.

journal papers

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. Aviles-Rivero

IEEE Transactions on Multimedia · 2025

Paper arXiv

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. Aviles-Rivero

Journal of Computational Physics · 2025

Paper arXiv Code

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. Aviles-Rivero

Transactions on Machine Learning Research · 2025

Paper arXiv

The Missing U for Efficient Diffusion Models

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

Transactions on Machine Learning Research · 2024

Paper

Continuous U-Net: Faster, Greater and Noiseless

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

Transactions on Machine Learning Research · 2024

Paper

conference papers

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 Aviles-Rivero, Guang Yang, Javier A. Montoya-Zegarra

MICCAI · 2026

Oral presentation

arXiv

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. Aviles-Rivero

MICCAI · 2026

Oral presentation · Early accept

arXiv Project

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

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

ICPR · 2026

arXiv

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

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

ICASSP · 2026

arXiv

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. Aviles-Rivero

MICCAI · 2025

arXiv Project

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. Aviles-Rivero

AAAI · 2025

Oral presentation

arXiv

under review

CholQuant: Cholesky-Conditioned Fractional Whitening for LLM Quantization

Yao Zhu, Xuan Ding, Chunxiao Li, Xiu Yan, Chun-Wun Cheng, Angelica I. Aviles-Rivero, Rui Sun, Chuanlong Xie

Under review

Mitigating Quantization–Parameterization Mismatch in LLM Post-Training Quantization

Yudong Hu, Yao Zhu, Chun-Wun Cheng, Angelica I. Aviles-Rivero, Rui Sun

Under review

Hybrid Geometry-aware Neural Operator

Chun-Wun Cheng, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero

Under review

CATO: Charted Attention for Neural PDE Operators

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

Under review · 2026

arXiv

SpectraKAN: Conditioning Spectral Operators

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

Under review · 2026

arXiv

LEGATO: Good Identity Unlearning Is Continuous

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

Under review · 2025

arXiv

Product Interaction: An Algebraic Formalism for Deep Learning Architectures

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

Under review · 2025

arXiv

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting

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

Under review · 2025

arXiv

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. Aviles-Rivero

Under review · 2025

arXiv

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

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

Under review · 2025

arXiv

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. Aviles-Rivero

Under review · 2024

arXiv

Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosis

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

Under review · 2024

arXiv