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
Appl. Math. Lett., April, 2024
Decentralized Gradient Descent Maximization Method for Composite Nonconvex Strongly-Concave Minimax Problems.
SIAM J. Optim., March, 2024
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
Sensors, 2024
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning.
Biomed. Signal Process. Control., 2024
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
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
Remote. Sens., April, 2023
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
IEEE Trans. Circuits Syst. Video Technol., February, 2023
Neural Comput. Appl., February, 2023
IEEE Trans. Signal Process., 2023
ACM Trans. Graph., 2023
Momentum-Based Variance-Reduced Proximal Stochastic Gradient Method for Composite Nonconvex Stochastic Optimization.
J. Optim. Theory Appl., 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
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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
IEEE Trans. Image Process., 2022
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
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
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
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
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
IEEE Trans. Image Process., 2021
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
Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming.
IEEE Access, 2021
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
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
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
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
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
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
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
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 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
Differentially Private Big Data Publication via Structural Inference and Community Detection.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017
2016
SIAM J. Sci. Comput., 2016
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection.
Pattern Recognit., 2016
Pattern Anal. Appl., 2016
Ascending partition method for differentially private histogram publication.
Comput. Syst. Sci. Eng., 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
SIAM J. Optim., 2015
Math. Program. Comput., 2015
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection.
CoRR, 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
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
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
2012
J. Syst. Sci. Complex., 2012
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
CoRR, 2011