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Yue Song

22 papers · 2020–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (49) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Grand Slam
πŸ† Grand Slam 🀝 Dynamic Duo (14) πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (6) πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (6) ICLR (4) CVPR (3) ICCV (3) ECCV (2) AAAI (1) ICML (1) IJCAI (1) L4DC (1)

Top co-authors

Nicu Sebe (14) Wei Wang (8) Ziheng Chen (5) Gaowen Liu (2) Xiao-Jun Wu (2) Xiaojun Wu (2) Yuanqi Du (2) Max Welling (2) Bin Ren (1) Andy Keller (1)

Research topics

Deep Learning (19) Machine Learning (16) Core Methods (10) Artificial Intelligence (7) Optimization & Theory (7) Techniques (7) Core AI Β· Artificial Intelligence (6) Models (6) Computer Vision (5) Application Areas (5) Architectures (5) Learning Types Β· Deep Learning (5) Learning Types Β· Machine Learning (3) Mathematics & Optimization (2) Core AI Β· Computer Vision (2)

Keywords

latent space (5) riemannian manifold (4) disentangled representation (3) generative model (3) global covariance pooling (2) batch normalization (2) matrix square root (2) lie group (2) flow-based model (2) vision transformer (2) unsupervised learning (2) optimal transport (2) singular value decomposition (2) symmetric positive definite matrix (2) symmetric positive definite matrice (2) multinomial logistic regression (2) multimodal learning (1) link prediction (1) logistic regression (1) semantic segmentation (1)

Papers

Hilbert Curve-Based Attention Enabling Topology-Preserving Image Tensor Representation for Semantic Segmentation Network CVPR 2026 Gyrogroup Batch Normalization ICLR 2025 Is CLIP ideal? No. Can we fix it? Yes! ICCV 2025 Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning L4DC 2025 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 A Lie Group Approach to Riemannian Batch Normalization ICLR 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 Navigating Chemical Space with Latent Flows NeurIPS 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries NeurIPS 2024 Flow Factorized Representation Learning NeurIPS 2023 Householder Projector for Unsupervised Latent Semantics Discovery ICCV 2023 Latent Traversals in Generative Models as Potential Flows ICML 2023 Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers CVPR 2023 Batch-Efficient EigenDecomposition for Small and Medium Matrices ECCV 2022 Fast Differentiable Matrix Square Root ICLR 2022 GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models NeurIPS 2022 Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality ECCV 2022 RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NeurIPS 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