activity
20232025
collaborators

5 papers

cs.CV2025

Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation

Zihao Chen, Yi Zhou, Xudong Jiang +4

Unpaired image-to-image translation has emerged as a crucial technique in medical imaging, enabling cross-modality synthesis, domain adaptation, and data augmentation without costl…

cs.LG2025

Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs

Zihao Chen, Yu Xiang, Wenyong Wang

Despite the success in learning semantically meaningful, unsupervised disentangled representations, variational autoencoders (VAEs) and their variants face a fundamental theoretica…

cs.LG2025

IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation

Zihao Chen, Wenyong Wang, Jiachen Yang +1

Geometric representation learning in preserving the intrinsic geometric and topological properties for discrete non-Euclidean data is crucial in scientific applications. Previous r…

cs.LG2024

Isometric Immersion Learning with Riemannian Geometry

Zihao Chen, Wenyong Wang, Yu Xiang

Manifold learning has been proven to be an effective method for capturing the implicitly intrinsic structure of non-Euclidean data, in which one of the primary challenges is how to…

math.ST2023

Statistical Barriers to Affine-equivariant Estimation

Zihao Chen, Yeshwanth Cherapanamjeri

We investigate the quantitative performance of affine-equivariant estimators for robust mean estimation. As a natural stability requirement, the construction of such affine-equivar…