Xiao-Tong Yuan

Affiliations:
  • Nanjing University of Information Science and Technology, China
  • Department of Statistics and Biostatistics, Rutgers University (former)


According to our database1, Xiao-Tong Yuan authored at least 115 papers between 2005 and 2024.

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Bibliography

2024
Cross-Domain Few-Shot Classification via Dense-Sparse-Dense Regularization.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Iterative Regularization with k-Support Norm: An Important Complement to Sparse Recovery.
CoRR, 2024

2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation.
CoRR, 2023

L<sub>2</sub>-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Minimum Path Cost Multi-path Routing Algorithm with No Intersecting Links in Quantum Key Distribution Networks.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

2022
Stability and Risk Bounds of Iterative Hard Thresholding.
IEEE Trans. Inf. Theory, 2022

Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data.
IEEE Trans. Geosci. Remote. Sens., 2022

A globally convergent approximate Newton method for non-convex sparse learning.
Pattern Recognit., 2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Boosting the Confidence of Generalization for L<sub>2</sub>-Stable Randomized Learning Algorithms.
CoRR, 2022

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Matrix Completion with Deterministic Sampling: Theories and Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM).
CoRR, 2021

Deep learning-based super-resolution fluorescence microscopy on small datasets.
CoRR, 2021

Task similarity aware meta learning: theory-inspired improvement on MAML.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting.
IEEE Trans. Multim., 2020

Dual Iterative Hard Thresholding.
J. Mach. Learn. Res., 2020

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
J. Mach. Learn. Res., 2020

Machine learning for faster and smarter fluorescence lifetime imaging microscopy.
CoRR, 2020

Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Meta-learning with Network Pruning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding.
Proceedings of the Conference on Learning Theory, 2020

2019
Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

基于近似牛顿法的分布式卷积神经网络训练 (Distributed Convolutional Neural Networks Based on Approximate Newton-type Mothod).
计算机科学, 2019

Hyperspectral image classification using spectral-spatial LSTMs.
Neurocomputing, 2019

Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Quadratic Approximation Greedy Pursuit for Cardinality-Constrained Sparse Learning.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Efficient Meta Learning via Minibatch Proximal Update.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Reversed Spectral Hashing.
IEEE Trans. Neural Networks Learn. Syst., 2018

Matrix Completion with Nonuniform Sampling: Theories and Methods.
CoRR, 2018

Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Efficient Stochastic Gradient Hard Thresholding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Sparseness Analysis in the Pretraining of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition.
ACM Trans. Embed. Comput. Syst., 2017

Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.
Remote. Sens., 2017

Newton-Type Greedy Selection Methods for ℓ<sub>0</sub>-Constrained Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Gradient Hard Thresholding Pursuit.
J. Mach. Learn. Res., 2017

A New Theory for Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Efficient χ<sup>2</sup> Kernel Linearization via Random Feature Maps.
IEEE Trans. Neural Networks Learn. Syst., 2016

Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods.
CoRR, 2016

Grey relational analysis based on velocity and acceleration and its application.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exact Recovery of Hard Thresholding Pursuit.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Decentralized Robust Subspace Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Sparse random projection for χ<sup>2</sup> kernel linearization: Algorithm and applications to image classification.
Neurocomputing, 2015

Additive Nearest Neighbor Feature Maps.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Robust Recognition via Information Theoretic Learning
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-07416-0, 2014

Partial Gaussian Graphical Model Estimation.
IEEE Trans. Inf. Theory, 2014

Autogrouped Sparse Representation for Visual Analysis.
IEEE Trans. Image Process., 2014

Structured partial least squares for simultaneous object tracking and segmentation.
Neurocomputing, 2014

Robust tracking via patch-based appearance model and local background estimation.
Neurocomputing, 2014

Continuous attractors of higher-order recurrent neural networks with infinite neurons.
Neurocomputing, 2014

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Sparse Additive Subspace Clustering.
Proceedings of the Computer Vision - ECCV 2014, 2014

Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Forward Basis Selection for Pursuing Sparse Representations over a Dictionary.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Supervised sparse patch coding towards misalignment-robust face recognition.
J. Vis. Commun. Image Represent., 2013

Truncated power method for sparse eigenvalue problems.
J. Mach. Learn. Res., 2013

A fast convex conjugated algorithm for sparse recovery.
Neurocomputing, 2013

Why does the unsupervised pretraining encourage moderate-sparseness?
CoRR, 2013

Learning weighted Hamming distance for binary descriptors.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Movie2Comics: Towards a Lively Video Content Presentation.
IEEE Trans. Multim., 2012

Agglomerative Mean-Shift Clustering.
IEEE Trans. Knowl. Data Eng., 2012

Visual Classification With Multitask Joint Sparse Representation.
IEEE Trans. Image Process., 2012

Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning.
Neural Comput., 2012

Forward Basis Selection for Sparse Approximation over Dictionary.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Auto-Grouped Sparse Representation for Visual Analysis.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Video accessibility enhancement for hearing-impaired users.
ACM Trans. Multim. Comput. Commun. Appl., 2011

Correntropy based feature selection using binary projection.
Pattern Recognit., 2011

A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Information-Theoretic Measures for Objective Evaluation of Classifications
CoRR, 2011

Towards multi-semantic image annotation with graph regularized exclusive group lasso.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-label visual classification with label exclusive context.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Accelerated low-rank visual recovery by random projection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficient Subspace Segmentation via Quadratic Programming.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Principal component analysis based on non-parametric maximum entropy.
Neurocomputing, 2010

Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction.
EURASIP J. Adv. Signal Process., 2010

Cast2Face: character identification in movie with actor-character correspondence.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Movie2Comics: a feast of multimedia artwork.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

iComics: automatic conversion of movie into comics.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees.
Proceedings of the ICDMW 2010, 2010

Visual tracking via weakly supervised learning from multiple imperfect oracles.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Visual classification with multi-task joint sparse representation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Agglomerative Mean-Shift Clustering via Query Set Compression.
Proceedings of the SIAM International Conference on Data Mining, 2009

Robust feature extraction via information theoretic learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Stochastic gradient kernel density mode-seeking.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.
Proceedings of the Advances in Machine Learning, 2009

2008
A set theoretical method for video synopsis.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Regularized active shape model for shape alignment.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Real-time Object Classification in Video Surveillance Based on Appearance Learning.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Structured Ordinal Features for Appearance-Based Object Representation.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

Color Constancy Via Convex Kernel Optimization.
Proceedings of the Computer Vision, 2007

2006
A Random Field Model for Improved Feature Extraction and Tracking.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005
A Robust Framework For Eigenspace Image Reconstruction.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Region Tracking via HMMF in Joint Feature-Spatial Space.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking.
Proceedings of the 2005 International Conference on Image Processing, 2005


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