Yangyang Xu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Yangyang Xu 001 (Wuhan University, Wuhan, Hubei, China)
- Yangyang Xu 002 (University of Science and Technology of China, Hefei, Anhui, China)
- Yangyang Xu 003 (Harbin Institute of Technology, Shenzhen, China)
- Yangyang Xu 004 (Guangxi Normal University, Guilin, China)
- Yangyang Xu 005 (Rensselaer Polytechnic Institute, Troy, NY, USA)
- Yangyang Xue
Bibliography
2026
SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning.
CoRR, March, 2026
Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery.
CoRR, March, 2026
Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features.
CoRR, March, 2026
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication.
Trans. Mach. Learn. Res., 2026
Improved variable step-size LMS algorithm for mismatch suppression in multi-channel ADCs.
Microelectron. J., 2026
A derivative-free spectral residual method for computing generalized eigenpairs of weakly symmetric tensors.
J. Comput. Appl. Math., 2026
2025
CoRR, July, 2025
A Model-Free Detection Method for Internal Short Circuits in Single Lithium-ion Cells Using Pseudo Open-Circuit Voltage Difference.
CoRR, June, 2025
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition.
CoRR, May, 2025
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation.
CoRR, April, 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations.
CoRR, April, 2025
Inexact Moreau Envelope Lagrangian Method for Non-Convex Constrained Optimization under Local Error Bound Conditions on Constraint Functions.
CoRR, February, 2025
Universal Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery.
CoRR, February, 2025
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization.
CoRR, January, 2025
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization.
Trans. Mach. Learn. Res., 2025
A DeepSeek-powered locally deployed closed-loop system for enhancing quality control in electronic nursing documentation: development and clinical validation.
J. Am. Medical Informatics Assoc., 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
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
Sensors, 2024
Projected gradient methods for nonconvex and stochastic optimization: new complexities and auto-conditioned stepsizes.
CoRR, 2024
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning.
Biomed. Signal Process. Control., 2024
A Bionic Ankle-Foot Prosthesis with Active Metatarsophalangeal Joint Mimicking the Toe-Gripping Function of Biological Limb.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024
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
Remote. Sens., April, 2023
Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method.
SIAM J. Optim., March, 2023
Neural Comput. Appl., February, 2023
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints.
CoRR, 2023
First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods.
CoRR, 2023
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems.
CoRR, 2023
Generative adversarial network with transformer generator for boosting ECG classification.
Biomed. Signal Process. Control., 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 Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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 11th International Conference on Networks, Communication and Computing, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming.
IEEE Access, 2021
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
Numer. Algorithms, 2019
Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints.
CoRR, 2019
Comput. Appl. Math., 2019
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access, 2019
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
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
First-order methods for constrained convex programming based on linearized augmented Lagrangian function.
CoRR, 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
Pattern Anal. Appl., 2016
Ascending partition method for differentially private histogram publication.
Comput. Syst. Sci. Eng., 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Math. Program. Comput., 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
2012
J. Syst. Sci. Complex., 2012
2011
A variant of multitask n-vehicle exploration problem: maximizing every processor's average profit
CoRR, 2011