Xia Jiang
Orcid: 0000-0002-1967-2136
According to our database1,
Xia Jiang
authored at least 61 papers
between 2004 and 2024.
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Bibliography
2024
Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
A novel quantile-based sequential optimization and reliability assessment method for safety life analysis.
Reliab. Eng. Syst. Saf., March, 2024
An efficient method for estimating failure possibility function by combining adaptive Kriging model with augmented fuzzy simulation.
Eng. Comput., February, 2024
2023
Influence mechanism of consumers' characteristics on impulsive purchase in E-commerce livestream marketing.
Comput. Hum. Behav., November, 2023
An efficient hierarchical fuzzy simulation method for estimating failure possibility.
Eng. Comput., October, 2023
Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Distributed Proximal Gradient Algorithm for Nonconvex Optimization Over Time-Varying Networks.
IEEE Trans. Control. Netw. Syst., June, 2023
Learning the Policy for Mixed Electric Platoon Control of Automated and Human-Driven Vehicles at Signalized Intersection: A Random Search Approach.
IEEE Trans. Intell. Transp. Syst., May, 2023
Distributed Synchronous and Asynchronous Algorithms for Semidefinite Programming With Diagonal Constraints.
IEEE Trans. Autom. Control., February, 2023
Frontiers Artif. Intell., February, 2023
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting.
Expert Syst. Appl., 2023
Variance-Reduced Shuffling Gradient Descent With Momentum for Finite-Sum Minimization.
IEEE Control. Syst. Lett., 2023
CoRR, 2023
A BDS/GPS Integrated Positioning Algorithm Based On Kalman Filter and Deep Neural Networks.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
2022
Distributed Solver for Discrete-Time Lyapunov Equations Over Dynamic Networks With Linear Convergence Rate.
IEEE Trans. Cybern., 2022
A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization.
IEEE CAA J. Autom. Sinica, 2022
iMedBot: A Web-based Intelligent Agent for Healthcare Related Prediction and Deep Learning.
CoRR, 2022
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis.
CoRR, 2022
Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach.
CoRR, 2022
Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: a random search approach.
CoRR, 2022
CoRR, 2022
Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data.
Proceedings of the AMIA 2022, 2022
2021
Time-dependent structural system reliability analysis model and its efficiency solution.
Reliab. Eng. Syst. Saf., 2021
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization.
CoRR, 2021
Distributed algorithm for non-convex stochastic optimization with variance reduction.
CoRR, 2021
2020
Int. J. Emerg. Technol. Learn., 2020
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis.
BMC Bioinform., 2020
Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference.
PLoS Comput. Biol., 2019
Int. J. Emerg. Technol. Learn., 2019
2018
Using natural language processing and machine learning to identify breast cancer local recurrence.
BMC Bioinform., 2018
Proceedings of the 15th International Conference on Control, 2018
2017
Int. J. Emerg. Technol. Learn., 2017
Artif. Intell. Medicine, 2017
2016
J. Am. Medical Informatics Assoc., 2016
BMC Bioinform., 2016
Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
BMC Bioinform., 2016
2015
Briefings Bioinform., 2015
Proceedings of the 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2015
Proceedings of the 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2015
2014
A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion.
J. Biomed. Informatics, 2014
Proceedings of the 9th Gateway Computing Environments Workshop, 2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014
2012
BMC Medical Informatics Decis. Mak., 2012
2011
J. Softw. Eng. Appl., 2011
BMC Bioinform., 2011
2010
J. Am. Medical Informatics Assoc., 2010
Int. J. Approx. Reason., 2010
A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection.
Data Min. Knowl. Discov., 2010
2009
Proceedings of the AMIA 2009, 2009
2008
Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
2007
Proceedings of the AMIA 2007, 2007
2006
Proceedings of the Proceedings, 2006
2005
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
2004
Proceedings of the 23rd IEEE International Performance Computing and Communications Conference, 2004