Yuan, Xiao-Tong

20 publications

AAAI 2024 Iterative Regularization with K-Support Norm: An Important Complement to Sparse Recovery William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu

JMLR 2023 Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan, Ping Li

CVPR 2021 DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

UAI 2021 Task Similarity Aware Meta Learning: Theory-Inspired Improvement on MAML Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven Hoi

JMLR 2020 Dual Iterative Hard Thresholding Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

ICML 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-than-Single-Pass Optimization with Nearly Optimal Generalization Pan Zhou, Xiao-Tong Yuan

ECCV 2020 Meta-Learning with Network Pruning Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

COLT 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding Xiao-Tong Yuan, Ping Li

JMLR 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xiao-Tong Yuan, Ping Li

AISTATS 2019 Distributed Inexact Newton-Type Pursuit for Non-Convex Sparse Learning Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas

AISTATS 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

ICML 2017 Dual Iterative Hard Thresholding: From Non-Convex Sparse Minimization to Non-Smooth Concave Maximization Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

AAAI 2016 Decentralized Robust Subspace Clustering Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas

IJCAI 2016 Efficient K-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas

AAAI 2016 Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu

ICCV 2015 Additive Nearest Neighbor Feature Maps Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan

CVPR 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization Xiao-Tong Yuan, Qingshan Liu

ECCV 2014 Sparse Additive Subspace Clustering Xiao-Tong Yuan, Ping Li

JMLR 2013 Truncated Power Method for Sparse Eigenvalue Problems Xiao-Tong Yuan, Tong Zhang

ICCV 2011 Multi-Label Visual Classification with Label Exclusive Context Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan, Tat-Seng Chua