Yue Song
21 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
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Conferences
NIPS (6)
ICLR (4)
ICCV (3)
CVPR (2)
ECCV (2)
AAAI (1)
ICML (1)
IJCAI (1)
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Top co-authors
Keywords
latent space
(5)
disentangled representation
(3)
generative model
(3)
flow-based model
(2)
unsupervised learning
(2)
singular value decomposition
(2)
multinomial logistic regression
(2)
riemannian manifold
(2)
symmetric positive definite matrice
(2)
optimal transport
(2)
vision transformer
(1)
gradient aggregation
(1)
privacy preservation
(1)
image editing
(1)
multimodal learning
(1)
molecular optimization
(1)
image classification
(1)
optimal control
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logistic regression
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link prediction
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Papers
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
ICLR 2025
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
AAAI 2025
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
L4DC 2025
Gyrogroup Batch Normalization
ICLR 2025
Is CLIP ideal? No. Can we fix it? Yes!
ICCV 2025
Navigating Chemical Space with Latent Flows
NIPS 2024
A Lie Group Approach to Riemannian Batch Normalization
ICLR 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries
NIPS 2024
Riemannian Multinomial Logistics Regression for SPD Neural Networks
CVPR 2024
Aligning Large Language Models with Representation Editing: A Control Perspective
NIPS 2024
Latent Traversals in Generative Models as Potential Flows
ICML 2023
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
CVPR 2023
Householder Projector for Unsupervised Latent Semantics Discovery
ICCV 2023
Flow Factorized Representation Learning
NIPS 2023
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality
ECCV 2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
NIPS 2022
Batch-Efficient EigenDecomposition for Small and Medium Matrices
ECCV 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
NIPS 2022
Fast Differentiable Matrix Square Root
ICLR 2022
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
ICCV 2021
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
IJCAI 2020