Ying Liu

Orcid: 0000-0002-0337-277X

Affiliations:
  • Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
  • City University of Hong Kong, Department of Electronic Engineering, Hong Kong (PhD 2009)


According to our database1, Ying Liu authored at least 38 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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


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