| 2025 | ICCV | Neuromanifold-Regularized KANs for Shape-fair Feature Representations. | Mazlum Ferhat Arslan, Weihong Guo, Shuo Li |
| 2024 | MICCAI | Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization. | Mazlum Ferhat Arslan, Weihong Guo, Shuo Li |
| 2023 | IECON | Virtual Kitakyushu Revitalization Design Based on the Case Study of Immersive Legacies Exhibition in Wellington Museum. | Bin Li, Marc Aurel Schnabel, Luca Caneparo, Yuqing Zhang, Weihong Guo, Qinglin Meng, Jie Meng, Yinghao Gan, Yijun Jiang |
| 2017 | ICIP | A variational pansharpening approach based on reproducible kernel Hilbert space and heaviside function. | Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot |
| 2016 | ICML | On the Consistency of Feature Selection With Lasso for Non-linear Targets. | Yue Zhang, Weihong Guo, Soumya Ray |
| 2015 | MMSP | Heaviside image edge sharpening. | Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang, Xi-Le Zhao |
| 2010 | VCIP | EdgeCS: edge guided compressive sensing reconstruction. | Weihong Guo, Wotao Yin |
| 2008 | MICCAI | A Local Mutual Information Guided Denoising Technique and Its Application to Self-calibrated Partially Parallel Imaging. | Weihong Guo, Feng Huang |
| 2006 | ICIP | Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously. | Weihong Guo, Yunmei Chen |
| 2004 | CVPR | Estimation, Smoothing, and Characterization of Apparent Diffusion Coefficient Profiles from High Angular Resolution DWI. | Yunmei Chen, Weihong Guo, Qingguo Zeng, Xiaolu Yan, Feng Huang, Hao Zhang, Guojun He, Baba C. Vemuri, Yijun Liu |