Ziheng Chen
12 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (20) π Keyword Champion (3) π Century Club Β· Bronze
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Research topics
Deep Learning
(10)
Machine Learning
(9)
Core Methods
(7)
Architectures
(6)
Techniques
(5)
Artificial Intelligence
(3)
Core AI Β· Artificial Intelligence
(3)
Optimization & Theory
(3)
Computer Vision
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Core AI Β· Computer Vision
(1)
Domain-Specific
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
riemannian manifold
(5)
symmetric positive definite matrix
(3)
symmetric positive definite matrice
(3)
manifold learning
(2)
deep learning
(2)
covariance matrix
(2)
riemannian geometry
(2)
lie group
(2)
batch normalization
(2)
multinomial logistic regression
(2)
logistic regression
(2)
hyperbolic space
(2)
sliced wasserstein distance
(1)
signal classification
(1)
semantic alignment
(1)
representation learning
(1)
machine reading comprehension
(1)
grassmann manifold
(1)
self-attention mechanism
(1)
visual classification
(1)
Papers
Hyperbolic Busemann Neural Networks
CVPR 2026
Wasserstein-Aligned Hyperbolic Multi-View Clustering
AAAI 2026
A Correlation Manifold Self-Attention Network for EEG Decoding
IJCAI 2025
Gyrogroup Batch Normalization
ICLR 2025
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
CVPR 2025
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
ICLR 2025
A Grassmannian Manifold Self-Attention Network for Signal Classification
IJCAI 2024
A Lie Group Approach to Riemannian Batch Normalization
ICLR 2024
Riemannian Multinomial Logistics Regression for SPD Neural Networks
CVPR 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries
NeurIPS 2024
Riemannian Local Mechanism for SPD Neural Networks
AAAI 2023
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
ACL 2022