Xiao-Tong Yuan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Hard Thresholding

Subspace Clustering

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Neural Networks Learn. Syst.

Publications

William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
Iterative Regularization with k-Support Norm: an Important Complement to Sparse Recovery. CoRR (2024)
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. AAAI (2024)
Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
A Short-Long Term Sequence Learning Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu
Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data. IEEE Trans. Multim. 26 (2024)
Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Fanfan Ji, Yunpeng Chen, Luoqi Liu, Xiao-Tong Yuan
Cross-Domain Few-Shot Classification via Dense-Sparse-Dense Regularization. IEEE Trans. Circuits Syst. Video Technol. 34 (3) (2024)
Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Xiao-Tong Yuan, Ping Li
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. CoRR (2023)
Xiao-Tong Yuan, Ping Li
Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory 68 (10) (2022)
Xiao-Tong Yuan, Ping Li
-Stable Randomized Learning Algorithms. CoRR (2022)
Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Xiao-Tong Yuan, Ping Li
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. CoRR (2022)
Xiao-Tong Yuan, Ping Li
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR (2022)
Mei Xue, Renlong Hang, Xiao-Tong Yuan, Pengfei Xiao, Qingshan Liu
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. CoRR (2022)
Fanfan Ji, Hui Shuai, Xiao-Tong Yuan
A globally convergent approximate Newton method for non-convex sparse learning. Pattern Recognit. 126 (2022)
Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR (2021)
Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI (2021)
Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. CVPR (2021)
Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21 (2020)
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
Meta-Learning with Network Pruning. CoRR (2020)
Xiao-Tong Yuan, Ping Li
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. J. Mach. Learn. Res. 21 (2020)
Xiao-Tong Yuan, Ping Li
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. COLT (2020)
Jue Wang, Fanfan Ji, Xiao-Tong Yuan
Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit. PRCV (3) (2020)
Pan Zhou, Xiao-Tong Yuan
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. ICML (2020)
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
Meta-learning with Network Pruning. ECCV (19) (2020)
Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting. IEEE Trans. Multim. 22 (12) (2020)
Fanfan Ji, Hui Shuai, Xiao-Tong Yuan
Quadratic Approximation Greedy Pursuit for Cardinality-Constrained Sparse Learning. PRCV (1) (2019)
Xiao-Tong Yuan, Ping Li
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. CoRR (2019)
Xin Yang, Haiwei Lu, Hui Shuai, Xiao-Tong Yuan
Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding. PRCV (1) (2019)
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS (2019)
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. AISTATS (2019)
Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD (2018)
Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR (2018)
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. ICML (2017)
Xiao-Tong Yuan, Qingshan Liu
-Constrained Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28 (6) (2017)
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. CoRR (2017)
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. ACM Trans. Embed. Comput. Syst. 16 (3) (2017)
Xiao-Tong Yuan, Ping Li, Tong Zhang
Gradient Hard Thresholding Pursuit. J. Mach. Learn. Res. 18 (2017)
Xiao-Tong Yuan, Ping Li, Tong Zhang
Exact Recovery of Hard Thresholding Pursuit. NIPS (2016)
Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. AAAI (2016)
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
Decentralized Robust Subspace Clustering. AAAI (2016)
Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS (2016)
Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu
Kernel Linearization via Random Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI (2016)
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan
Additive Nearest Neighbor Feature Maps. ICCV (2015)
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu
kernel linearization: Algorithm and applications to image classification. Neurocomputing 151 (2015)
Xiao-Tong Yuan, Tong Zhang
Partial Gaussian Graphical Model Estimation. IEEE Trans. Inf. Theory 60 (3) (2014)
Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
Autogrouped Sparse Representation for Visual Analysis. IEEE Trans. Image Process. 23 (12) (2014)
Xiao-Tong Yuan, Ping Li
Sparse Additive Subspace Clustering. ECCV (3) (2014)
Xiao-Tong Yuan, Qingshan Liu
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. CVPR (2014)
Xiao-Tong Yuan, Ping Li, Tong Zhang
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. CoRR (2013)
Xiao-Tong Yuan, Shuicheng Yan
Forward Basis Selection for Pursuing Sparse Representations over a Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Xiao-Tong Yuan, Tong Zhang
Truncated power method for sparse eigenvalue problems. J. Mach. Learn. Res. 14 (1) (2013)
Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan
Visual Classification With Multitask Joint Sparse Representation. IEEE Trans. Image Process. 21 (10) (2012)
Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, Tat-Seng Chua
Movie2Comics: Towards a Lively Video Content Presentation. IEEE Trans. Multim. 14 (3-2) (2012)
Xiao-Tong Yuan, Shuicheng Yan
Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning. Neural Comput. 24 (4) (2012)
Xiao-Tong Yuan, Bao-Gang Hu, Ran He
Agglomerative Mean-Shift Clustering. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Xiao-Tong Yuan, Tong Zhang
Partial Gaussian Graphical Model Estimation CoRR (2012)
Richang Hong, Meng Wang, Xiao-Tong Yuan, Mengdi Xu, Jianguo Jiang, Shuicheng Yan, Tat-Seng Chua
Video accessibility enhancement for hearing-impaired users. ACM Trans. Multim. Comput. Commun. Appl. 7 (Supplement) (2011)
Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. ICIG (2011)
Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan, Tat-Seng Chua
Multi-label visual classification with label exclusive context. ICCV (2011)
Xiao-Tong Yuan, Tong Zhang
Truncated Power Method for Sparse Eigenvalue Problems CoRR (2011)