Xiao-Tong Yuan

72 papers A* 12A 4Misc 1Journal 48Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
More realistic and accurate precipitation nowcasting with Conditional Rectified Flow Transformers.
Eng. Appl. Artif. Intell.
Yunlong Zhou, Chen Zhao, Fanfan Ji, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2025 A conf
Hier-pFedMe: Hierarchical Personalized Federated Learning with Moreau Envelopes.
ICME
Xi Liu, Fanfan Ji, Bo Liu, Xiao-Tong Yuan
2025 J jnl
Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan
2025 J jnl
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees.
CoRR
William de Vazelhes, Xiao-Tong Yuan, Bin Gu
2024 J jnl
A Short-Long Term Sequence Learning Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2024 J jnl
Cross-Domain Few-Shot Classification via Dense-Sparse-Dense Regularization.
IEEE Trans. Circuits Syst. Video Technol.
Fanfan Ji, Yunpeng Chen, Luoqi Liu, Xiao-Tong Yuan
2024 J jnl
Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning.
IEEE Geosci. Remote. Sens. Lett.
Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan
2024 J jnl
Iterative Regularization with k-Support Norm: An Important Complement to Sparse Recovery.
CoRR
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
2024 A* conf
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery.
AAAI
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
2024 J jnl
Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data.
IEEE Trans. Multim.
Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu
2024 J jnl
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan
2023 J jnl
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation.
CoRR
Xiao-Tong Yuan, Ping Li
2023 J jnl
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Ping Li
2022 J jnl
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi
2022 J jnl
A globally convergent approximate Newton method for non-convex sparse learning.
Pattern Recognit.
Fanfan Ji, Hui Shuai, Xiao-Tong Yuan
2022 J jnl
Boosting the Confidence of Generalization for L
CoRR
Xiao-Tong Yuan, Ping Li
2022 J jnl
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data.
IEEE Trans. Geosci. Remote. Sens.
Mei Xue, Renlong Hang, Xiao-Tong Yuan, Pengfei Xiao, Qingshan Liu
2022 J jnl
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond.
CoRR
Xiao-Tong Yuan, Ping Li
2022 J jnl
Stability and Risk Bounds of Iterative Hard Thresholding.
CoRR
Xiao-Tong Yuan, Ping Li
2022 J jnl
Stability and Risk Bounds of Iterative Hard Thresholding.
IEEE Trans. Inf. Theory
Xiao-Tong Yuan, Ping Li
2022 J jnl
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.
CoRR
William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu
2021 J jnl
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
CoRR
Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi
2021 A* conf
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance.
CVPR
Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2021 J jnl
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell.
Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng
2021 J jnl
Matrix Completion with Deterministic Sampling: Theories and Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2021 A conf
Task similarity aware meta learning: theory-inspired improvement on MAML.
UAI
Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi
2020 J jnl
Dual Iterative Hard Thresholding.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2020 A* conf
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization.
ICML
Pan Zhou, Xiao-Tong Yuan
2020 J jnl
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting.
IEEE Trans. Multim.
Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo
2020 J jnl
Meta-Learning with Network Pruning.
CoRR
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2020 — conf
Meta-learning with Network Pruning.
ECCV (19)
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu
2020 A* conf
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding.
COLT
Xiao-Tong Yuan, Ping Li
2020 J jnl
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Ping Li
2020 — conf
Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit.
PRCV (3)
Jue Wang, Fanfan Ji, Xiao-Tong Yuan
2019 A conf
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning.
AISTATS
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas
2019 A conf
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
AISTATS
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
2019 J jnl
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
CoRR
Xiao-Tong Yuan, Ping Li
2019 — conf
Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding.
PRCV (1)
Xin Yang, Haiwei Lu, Hui Shuai, Xiao-Tong Yuan
2019 — conf
Quadratic Approximation Greedy Pursuit for Cardinality-Constrained Sparse Learning.
PRCV (1)
Fanfan Ji, Hui Shuai, Xiao-Tong Yuan
2018 J jnl
Matrix Completion with Nonuniform Sampling: Theories and Methods.
CoRR
Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2018 A* conf
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.
KDD
Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang
2018 J jnl
Reversed Spectral Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu
2017 A* conf
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
ICML
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
CoRR
Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Gradient Hard Thresholding Pursuit.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Ping Li, Tong Zhang
2017 J jnl
Newton-Type Greedy Selection Methods for ℓ
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao-Tong Yuan, Qingshan Liu
2017 J jnl
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition.
ACM Trans. Embed. Comput. Syst.
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
2017 J jnl
Sparseness Analysis in the Pretraining of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang
2016 A* conf
Decentralized Robust Subspace Clustering.
AAAI
Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas
2016 A* conf
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.
IJCAI
Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas
2016 J jnl
Efficient χ
IEEE Trans. Neural Networks Learn. Syst.
Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu
2016 — conf
Exact Recovery of Hard Thresholding Pursuit.
NIPS
Xiao-Tong Yuan, Ping Li, Tong Zhang
2016 A* conf
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver.
AAAI
Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu
2016 — conf
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
NIPS
Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
2015 A* conf
Additive Nearest Neighbor Feature Maps.
ICCV
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan
2015 J jnl
Sparse random projection for χ
Neurocomputing
Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu
2014 J jnl
Autogrouped Sparse Representation for Visual Analysis.
IEEE Trans. Image Process.
Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
2014 A* conf
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization.
CVPR
Xiao-Tong Yuan, Qingshan Liu
2014 J jnl
Partial Gaussian Graphical Model Estimation.
IEEE Trans. Inf. Theory
Xiao-Tong Yuan, Tong Zhang
2014 — conf
Sparse Additive Subspace Clustering.
ECCV (3)
Xiao-Tong Yuan, Ping Li
2013 J jnl
Forward Basis Selection for Pursuing Sparse Representations over a Dictionary.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao-Tong Yuan, Shuicheng Yan
2013 J jnl
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization.
CoRR
Xiao-Tong Yuan, Ping Li, Tong Zhang
2013 J jnl
Truncated power method for sparse eigenvalue problems.
J. Mach. Learn. Res.
Xiao-Tong Yuan, Tong Zhang
2012 J jnl
Agglomerative Mean-Shift Clustering.
IEEE Trans. Knowl. Data Eng.
Xiao-Tong Yuan, Bao-Gang Hu, Ran He
2012 J jnl
Movie2Comics: Towards a Lively Video Content Presentation.
IEEE Trans. Multim.
Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, Tat-Seng Chua
2012 J jnl
Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning.
Neural Comput.
Xiao-Tong Yuan, Shuicheng Yan
2012 J jnl
Partial Gaussian Graphical Model Estimation
CoRR
Xiao-Tong Yuan, Tong Zhang
2012 J jnl
Visual Classification With Multitask Joint Sparse Representation.
IEEE Trans. Image Process.
Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan
2011 A* conf
Multi-label visual classification with label exclusive context.
ICCV
Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan, Tat-Seng Chua
2011 Misc conf
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition.
ICIG
Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan
2011 J jnl
Truncated Power Method for Sparse Eigenvalue Problems
CoRR
Xiao-Tong Yuan, Tong Zhang
2011 J jnl
Video accessibility enhancement for hearing-impaired users.
ACM Trans. Multim. Comput. Commun. Appl.
Richang Hong, Meng Wang, Xiao-Tong Yuan, Mengdi Xu, Jianguo Jiang, Shuicheng Yan, Tat-Seng Chua