Ph.D.

Ziheng Chen

2022–Present ziheng.chen@unitn.it

Research Interests

Geometric Deep Learning

Papers (12)

2026

CVPR 2026

Hyperbolic Busemann Neural Networks

Ziheng Chen, Bernhard Schölkopf, Nicu Sebe

PDF

ICLR 2026

Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry

Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

ICLR 2026

Intrinsic Lorentz Neural Network

Xianglong Shi, Ziheng Chen, Yunhan Jiang, Nicu Sebe

ICLR 2026

Proper Velocity Neural Networks

Ziheng Chen, Zihan Su, Bernhard Schölkopf, Nicu Sebe

ICLR 2026

Riemannian High-Order Pooling for Brain Foundation Models

Chen Hu, Ziheng Chen, Rui Wang, Yefeng Zheng, Nicu Sebe

AAAI 2026

Wasserstein-Aligned Hyperbolic Multi-View Clustering

Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiaojun Wu, Nicu Sebe, Ziheng Chen

2025

NeurIPS 2025

Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds

Rui Wang, Chen Hu, Xiaoning Song, Xiaojun Wu, Nicu Sebe, Ziheng Chen

ICLR 2025

Gyrogroup Batch Normalization

Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe

PDF Website

ICLR 2025

Understanding Matrix Function Normalizations in Covariance Pooling from the Lens of Riemannian Geometry

Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

PDF Website

2024

CVPR 2024

Riemannian Multinomial Logistics Regression for SPD Neural Networks

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe

PDF Website

ICLR 2024

A Lie Group Approach to Riemannian Batch Normalization

Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

PDF Website

TIP 2024

Adaptive Log-Euclidean Metrics for SPD Matrix Learning

Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiao-Jun Wu, Nicu Sebe

PDF Website