Song, Yue

25 publications

ICLR 2025 Gyrogroup Batch Normalization Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

ICCV 2025 Is CLIP Ideal? No. Can We Fix It? Yes! Raphi Kang, Yue Song, Georgia Gkioxari, Pietro Perona

NeurIPS 2025 Kuramoto Orientation Diffusion Models Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling

L4DC 2025 Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan

ICLR 2025 Understanding Matrix Function Normalizations in Covariance Pooling Through the Lens of Riemannian Geometry Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

AAAI 2025 Unsupervised Region-Based Image Editing of Denoising Diffusion Models Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang

ICLR 2024 A Lie Group Approach to Riemannian Batch Normalization Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

NeurIPS 2024 Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang

ICMLW 2024 Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang

NeurIPS 2024 Navigating Chemical Space with Latent Flows Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du

ICMLW 2024 Navigating Chemical Space with Latent Flows Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du

NeurIPS 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe

CVPR 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe

ICLRW 2024 Traversing Chemical Space with Latent Potential Flows Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du

NeurIPS 2023 Flow Factorized Representation Learning Yue Song, Andy Keller, Nicu Sebe, Max Welling

ICCV 2023 Householder Projector for Unsupervised Latent Semantics Discovery Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang

ICML 2023 Latent Traversals in Generative Models as Potential Flows Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling

CVPR 2023 Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei Wang

ECCV 2022 Batch-Efficient EigenDecomposition for Small and Medium Matrices Yue Song, Nicu Sebe, Wei Wang

ICLR 2022 Fast Differentiable Matrix Square Root Yue Song, Nicu Sebe, Wei Wang

NeurIPS 2022 GBA: A Tuning-Free Approach to Switch Between Synchronous and Asynchronous Training for Recommendation Models Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

ECCV 2022 Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality Yue Song, Nicu Sebe, Wei Wang

NeurIPS 2022 RankFeat: Rank-1 Feature Removal for Out-of-Distribution Detection Yue Song, Nicu Sebe, Wei Wang

ICCV 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? Yue Song, Nicu Sebe, Wei Wang

IJCAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang