Yangyang Xu

Orcid: 0009-0002-5406-5961

According to our database1, Yangyang Xu authored at least 127 papers between 2011 and 2024.

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Bibliography

2024
Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl., November, 2024

CoMix: Confronting with Noisy Label Learning with Co-training Strategies on Textual Mislabeling.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2024

SCBG: Semantic-Constrained Bidirectional Generation for Emotional Support Conversation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., July, 2024

EL-DenseNet: a novel method for identifying the flame state of converter steelmaking based on dense convolutional neural networks.
Signal Image Video Process., June, 2024

New S-type localization sets for C-eigenvalues of a piezoelectric-type tensor.
Appl. Math. Lett., April, 2024

Decentralized Gradient Descent Maximization Method for Composite Nonconvex Strongly-Concave Minimax Problems.
SIAM J. Optim., March, 2024

Multi-Task Learning With Multi-Query Transformer for Dense Prediction.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Leveraging spatial residual attention and temporal Markov networks for video action understanding.
Neural Networks, January, 2024

Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl., January, 2024

Surface-Enhanced Raman Scattering in Silver-Coated Suspended-Core Fiber.
Sensors, 2024

Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing.
CoRR, 2024

Prediction of freezing of gait based on self-supervised pretraining via contrastive learning.
Biomed. Signal Process. Control., 2024

AMTN: Attention-Enhanced Multimodal Temporal Network for Humor Detection.
Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, 2024

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Assessment of eco-environmental quality changes and spatial heterogeneity in the Yellow River Delta based on the remote sensing ecological index and geo-detector model.
Ecol. Informatics, November, 2023

Parallel and distributed asynchronous adaptive stochastic gradient methods.
Math. Program. Comput., September, 2023

Correntropy based model predictive controller with multi-constraints for robust path trajectory tracking of self-driving vehicle.
J. Frankl. Inst., July, 2023

Characterization of Three Surges of the Kyagar Glacier, Karakoram.
Remote. Sens., April, 2023

Deep Texture-Aware Features for Camouflaged Object Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method.
SIAM J. Optim., March, 2023

Representative Feature Alignment for Adaptive Object Detection.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

PAENL: personalized attraction enhanced network learning for recommendation.
Neural Comput. Appl., February, 2023

A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization.
IEEE Trans. Signal Process., 2023

Parsing-Conditioned Anime Translation: A New Dataset and Method.
ACM Trans. Graph., 2023

Momentum-Based Variance-Reduced Proximal Stochastic Gradient Method for Composite Nonconvex Stochastic Optimization.
J. Optim. Theory Appl., 2023

DiffusionMat: Alpha Matting as Sequential Refinement Learning.
CoRR, 2023

Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints.
CoRR, 2023

Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction.
CoRR, 2023

First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods.
CoRR, 2023

Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems.
CoRR, 2023

Generative adversarial network with transformer generator for boosting ECG classification.
Biomed. Signal Process. Control., 2023

JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Temporal-aware Multimodal Feature Fusion for Sentiment Analysis.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data.
Proceedings of the International Conference on Machine Learning, 2023

Multi-Task Learning with Knowledge Distillation for Dense Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RIGID: Recurrent GAN Inversion and Editing of Real Face Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

When Neural Networks Fail to Generalize? A Model Sensitivity Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling.
IEEE Trans. Image Process., 2022

Self-Supervised Matting-Specific Portrait Enhancement and Generation.
IEEE Trans. Image Process., 2022

Holistically Associated Transductive Zero-Shot Learning.
IEEE Trans. Cogn. Dev. Syst., 2022

Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems.
SIAM J. Imaging Sci., 2022

Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs.
Math. Program. Comput., 2022

Some further results on the maximal hitting times of trees with some given parameters.
Discret. Appl. Math., 2022

Multi-Task Learning with Multi-query Transformer for Dense Prediction.
CoRR, 2022

Inexact accelerated proximal gradient method with line search and reduced complexity for affine-constrained and bilinear saddle-point structured convex problems.
CoRR, 2022

Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.
Comput. Optim. Appl., 2022

Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

3D Body Sensor-Based Martial Arts Demonstration and Teaching System.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

Background Matting via Recursive Excitation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

High-resolution Face Swapping via Latent Semantics Disentanglement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DGMLP: Deformable Gating MLP Sharing for Multi-Task Learning.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Zeroth-Order Optimization for Composite Problems with Functional Constraints.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization.
INFORMS J. Optim., October, 2021

Augmented Lagrangian-Based First-Order Methods for Convex-Constrained Programs with Weakly Convex Objective.
INFORMS J. Optim., October, 2021

First-Order Methods for Constrained Convex Programming Based on Linearized Augmented Lagrangian Function.
INFORMS J. Optim., January, 2021

Invertible Grayscale with Sparsity Enforcing Priors.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

Erratum to "Multi-View Face Synthesis via Progressive Face Flow".
IEEE Trans. Image Process., 2021

Multi-View Face Synthesis via Progressive Face Flow.
IEEE Trans. Image Process., 2021

Iteration complexity of inexact augmented Lagrangian methods for constrained convex programming.
Math. Program., 2021

Lower complexity bounds of first-order methods for convex-concave bilinear saddle-point problems.
Math. Program., 2021

Distributed stochastic inertial methods with delayed derivatives.
CoRR, 2021

Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming.
IEEE Access, 2021

From Continuity to Editability: Inverting GANs with Consecutive Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Domain Adaptation via Importance Sampling.
IEEE Trans. Circuits Syst. Video Technol., 2020

Primal-Dual Stochastic Gradient Method for Convex Programs with Many Functional Constraints.
SIAM J. Optim., 2020

A locally and cubically convergent algorithm for computing 𝒵-eigenpairs of symmetric tensors.
Numer. Linear Algebra Appl., 2020

First-order methods for problems with O(1) functional constraints can have almost the same convergence rate as for unconstrained problems.
CoRR, 2020

Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization.
CoRR, 2020

Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity.
CoRR, 2020

Asynchronous parallel adaptive stochastic gradient methods.
CoRR, 2020

Markov chain block coordinate descent.
Comput. Optim. Appl., 2020

Greedy coordinate descent method on non-negative quadratic programming.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2019

Two non-parameter iterative algorithms for identifying strong ℋ-tensors.
Numer. Algorithms, 2019

Some criteria for identifying strong ℋ-tensors.
Numer. Algorithms, 2019

Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints.
CoRR, 2019

Asynchronous parallel primal-dual block coordinate update methods for affinely constrained convex programs.
Comput. Optim. Appl., 2019

Some results on Brauer-type and Brualdi-type eigenvalue inclusion sets for tensors.
Comput. Appl. Math., 2019

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access, 2019

2018
Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition.
IEEE Signal Process. Lett., 2018

Hybrid Jacobian and Gauss-Seidel Proximal Block Coordinate Update Methods for Linearly Constrained Convex Programming.
SIAM J. Optim., 2018

HOSVD based multidimensional parameter estimation for massive MIMO system from incomplete channel measurements.
Multidimens. Syst. Signal Process., 2018

ADMM for the SDP relaxation of the QAP.
Math. Program. Comput., 2018

Markov Chain Block Coordinate Descent.
CoRR, 2018

Accelerated primal-dual proximal block coordinate updating methods for constrained convex optimization.
Comput. Optim. Appl., 2018

Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks.
IEEE Access, 2018

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robust PCA via Dictionary Based Outlier Pursuit.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography.
Soft Comput., 2017

Accelerated First-Order Primal-Dual Proximal Methods for Linearly Constrained Composite Convex Programming.
SIAM J. Optim., 2017

A unified information measure for general binary relations.
Knowl. Based Syst., 2017

A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update.
J. Sci. Comput., 2017

Global convergence rates of augmented Lagrangian methods for constrained convex programming.
CoRR, 2017

Asynchronous parallel primal-dual block update methods.
CoRR, 2017

Differentially Private Big Data Publication via Structural Inference and Community Detection.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017

2016
ARock: An Algorithmic Framework for Asynchronous Parallel Coordinate Updates.
SIAM J. Sci. Comput., 2016

Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection.
Pattern Recognit., 2016

Proximal gradient method for huberized support vector machine.
Pattern Anal. Appl., 2016

Ascending partition method for differentially private histogram publication.
Comput. Syst. Sci. Eng., 2016

On the Convergence of Asynchronous Parallel Iteration with Arbitrary Delays.
CoRR, 2016

Coordinate Friendly Structures, Algorithms and Applications.
CoRR, 2016

Group sparse nonnegative matrix factorization for hyperspectral image denoising.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization.
SIAM J. Optim., 2015

Alternating proximal gradient method for sparse nonnegative Tucker decomposition.
Math. Program. Comput., 2015

Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection.
CoRR, 2015

To Enlighten Hidden Facts in The Code: A Review of Software Visualization Metaphors.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

Context-aware Recommendation System with Anonymous User Profile Learning.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

A new efficient bypass coding scheme based on logarithmic domain.
Proceedings of the 2015 Picture Coding Symposium, 2015

Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

High-throughput and low-complexity binary arithmetic decoder based on logarithmic domain.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
A fast patch-dictionary method for whole image recovery.
CoRR, 2014

On Higher-order Singular Value Decomposition from Incomplete Data.
CoRR, 2014

Sparse Bilinear Logistic Regression.
CoRR, 2014

2013
Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed 퓁<sub>q</sub> Minimization.
SIAM J. Numer. Anal., 2013

A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion.
SIAM J. Imaging Sci., 2013

Parallel matrix factorization for low-rank tensor completion.
CoRR, 2013

2012
Multitask <i>n</i>-vehicle exploration problem: Complexity and algorithm.
J. Syst. Sci. Complex., 2012

Decentralized low-rank matrix completion.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A variant of multitask n-vehicle exploration problem: maximizing every processor's average profit
CoRR, 2011

An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors
CoRR, 2011


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