Yuping Lai
Orcid: 0000-0002-3797-1228
According to our database1,
Yuping Lai
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
A Lightweight Intrusion Detection System Using a Finite Dirichlet Mixture Model With Extended Stochastic Variational Inference.
IEEE Trans. Netw. Serv. Manag., August, 2024
Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
HDA-IDS: A Hybrid DoS Attacks Intrusion Detection System for IoT by using semi-supervised CL-GAN.
Expert Syst. Appl., March, 2024
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Comput. Electr. Eng., November, 2023
Multi-modal fusion for millimeter-wave communication systems: A spatio-temporal enabled approach.
Neurocomputing, October, 2023
MP-VRCR: A Multi-Dimension and Priority-Based Vehicle-Road Collaborative Routing Protocol.
IEEE Trans. Veh. Technol., August, 2023
Vote or not? How language mimicry affect peer recognition in an online social Q&A community.
Neurocomputing, April, 2023
2022
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference.
IEEE Trans. Neural Networks Learn. Syst., 2022
Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling.
Int. J. Intell. Syst., 2022
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization.
Int. J. Interact. Multim. Artif. Intell., 2022
Sci. China Inf. Sci., 2022
2021
Wirel. Commun. Mob. Comput., 2021
J. Intell. Fuzzy Syst., 2021
Neurocomputing, 2021
IEEE Access, 2021
2020
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Access, 2020
2019
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
2018