| 2025 | ICML | Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. | William de Vazelhes, Xiaotong Yuan, Bin Gu |
| 2023 | ICLR | Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. | Xiaotong Yuan, Ping Li |
| 2021 | AISTATS | Stability and Risk Bounds of Iterative Hard Thresholding. | Xiaotong Yuan, Ping Li |
| 2016 | SMC | Grey relational analysis based on velocity and acceleration and its application. | Kedong Yin, Xiaotong Yuan, Xuemei Li, Shengmin Fang |
| 2014 | ICML | Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. | Xiaotong Yuan, Ping Li, Tong Zhang |
| 2013 | ICASSP | Learning weighted Hamming distance for binary descriptors. | Bin Fan, Qingqun Kong, Xiaotong Yuan, Zhiheng Wang, Chunhong Pan |
| 2012 | ECCV | Auto-Grouped Sparse Representation for Visual Analysis. | Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan |
| 2011 | AAAI | Efficient Subspace Segmentation via Quadratic Programming. | Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen |
| 2011 | CVPR | Accelerated low-rank visual recovery by random projection. | Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan |
| 2011 | ICCV | Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization. | Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin |
| 2010 | CVPR | Visual classification with multi-task joint sparse representation. | Xiaotong Yuan, Shuicheng Yan |
| 2010 | CVPR | Visual tracking via weakly supervised learning from multiple imperfect oracles. | Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Xiaotong Yuan, Shaohui Liu, Wen Gao |
| 2010 | ICDM | Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. | Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong |
| 2009 | ACML | Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. | Ran He, Bao-Gang Hu, Xiaotong Yuan |
| 2009 | CVPR | Stochastic gradient kernel density mode-seeking. | Xiaotong Yuan, Stan Z. Li |
| 2009 | ICML | Robust feature extraction via information theoretic learning. | Xiaotong Yuan, Bao-Gang Hu |
| 2009 | SDM | Agglomerative Mean-Shift Clustering via Query Set Compression. | Xiaotong Yuan, Bao-Gang Hu, Ran He |
| 2007 | ACCV | Color Constancy Via Convex Kernel Optimization. | Xiaotong Yuan, Stan Z. Li, Ran He |
| 2007 | CVPR | Real-time Object Classification in Video Surveillance Based on Appearance Learning. | Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang |
| 2007 | ICCV | Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. | Xiaotong Yuan, Stan Z. Li |
| 2006 | AVSS | Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. | Xiaotong Yuan, Stan Z. Li |
| 2006 | AVSS | A Random Field Model for Improved Feature Extraction and Tracking. | Xiaotong Yuan, Stan Z. Li |
| 2005 | ICIP | Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking. | Feng Chen, Xiaotong Yuan, ShuTang Yang |
| 2005 | WACV | A Robust Framework For Eigenspace Image Reconstruction. | Xiaotong Yuan, HongWen Zhu, ShuTang Yang |
| 2005 | WACV | Region Tracking via HMMF in Joint Feature-Spatial Space. | Xiaotong Yuan, ShuTang Yang, HongWen Zhu |