2025
Deeply Supervised Block-Wise Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
2024
Frequency-Domain Distributed Multitask Learning Over Networks.
IEEE Internet Things J., October, 2024
Distributed personalized imputation based on Gaussian mixture model for missing data.
Neural Comput. Appl., August, 2024
Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data.
IEEE Internet Things J., January, 2024
2023
Distributed Multi-kernel Learning Based on Gaussian Mixture Model with Missing Data.
Proceedings of the 2nd International Conference on Signal Processing, 2023
Interval Prediction of Tobacco Tax Profit Based on a Hybrid Holt-SVR Model.
Proceedings of the 2023 3rd International Conference on Big Data, 2023
2022
Distributed Information-Theoretic Semisupervised Learning for Multilabel Classification.
IEEE Trans. Cybern., 2022
Distributed Semisupervised Partial Label Learning Over Networks.
IEEE Trans. Artif. Intell., 2022
Privacy-Preserving Distributed Estimation Over Multitask Networks.
IEEE Trans. Aerosp. Electron. Syst., 2022
Performance-Enhanced Federated Learning With Differential Privacy for Internet of Things.
IEEE Internet Things J., 2022
2021
Distributed Semi-Supervised Learning With Missing Data.
IEEE Trans. Cybern., 2021
2020
Robust Distributed Parameter Estimation of Nonlinear Systems With Missing Data Over Networks.
IEEE Trans. Aerosp. Electron. Syst., 2020
Distributed Broad Learning System.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
Distributed Semi-supervised Multi-label Classification with Quantized Communication.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
2019
Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks.
IEEE Trans. Cybern., 2019
Distributed Differential Utility/Cost Analysis for Privacy Protection.
IEEE Signal Process. Lett., 2019
2018
Distributed Prediction via Adaptive Hammerstein Filter Over Networked Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2018
Distributed Jointly Sparse Multitask Learning Over Networks.
IEEE Trans. Cybern., 2018
Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks.
IEEE Trans. Aerosp. Electron. Syst., 2018
Distributed online semi-supervised support vector machine.
Inf. Sci., 2018
Online semi-supervised support vector machine.
Inf. Sci., 2018
2017
Distributed Blind Estimation Over Sensor Networks.
IEEE Access, 2017
2016
Distributed TLS over multitask networks with adaptive intertask cooperation.
IEEE Trans. Aerosp. Electron. Syst., 2016
Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo.
Inf. Sci., 2016
2014
Distributed Sparse Recursive Least-Squares Over Networks.
IEEE Trans. Signal Process., 2014
Enhanced incremental LMS with norm constraints for distributed in-network estimation.
Signal Process., 2014
Robust synchronization of chaotic systems using slidingmode and feedback control.
J. Zhejiang Univ. Sci. C, 2014
Optimal topological design for distributed estimation over sensor networks.
Inf. Sci., 2014
2013
Diffusion Information Theoretic Learning for Distributed Estimation Over Network.
IEEE Trans. Signal Process., 2013
Firing Rate Propagation Through Neuronal-Astrocytic Network.
IEEE Trans. Neural Networks Learn. Syst., 2013
2012
Diffusion Sparse Least-Mean Squares Over Networks.
IEEE Trans. Signal Process., 2012
Distributed estimation over complex networks.
Inf. Sci., 2012
A meta-heuristic algorithm for enhancing the synchronizability of complex networks.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012
2011
Formation of High-Dimensional Chaotic Maps and Their Uses in Cryptography.
Proceedings of the Chaos-Based Cryptography - Theory, Algorithms and Applications, 2011
2009
Adaptive Synchronization of Chaotic Systems and Its Uses in Cryptanalysis.
Proceedings of the Recent Advances in Nonlinear Dynamics and Synchronization: Theory and Applications, 2009
Cryptanalysis of Chaotic Communication Schemes by Dynamical Minimization Algorithm.
Int. J. Bifurc. Chaos, 2009
2008
Cryptanalysis of Chaotic Masking Secure Communication Systems Using an Adaptive Observer.
IEEE Trans. Circuits Syst. II Express Briefs, 2008
An Adaptive Observer Design for Auto-Synchronization of Lorenz System.
Int. J. Bifurc. Chaos, 2008
Formulation and analysis of high-dimensional chaotic maps.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008