Hongjian Liu

Orcid: 0000-0001-6471-5089

According to our database1, Hongjian Liu authored at least 108 papers between 1988 and 2024.

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

Timeline

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Bibliography

2024
Local Design of Distributed State Estimators for Linear Discrete Time-Varying Systems Over Binary Sensor Networks: A Set-Membership Approach.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

An Optimal Unsupervised Domain Adaptation Approach With Applications to Pipeline Fault Diagnosis: Balancing Invariance and Variance.
IEEE Trans. Ind. Informatics, August, 2024

Secure Distributed State Estimation for Microgrids With Eavesdroppers Based on Variable Decomposition.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2024

Recursive Filtering for Stochastic Systems with Filter-and-Forward Successive Relays.
IEEE CAA J. Autom. Sinica, May, 2024

Cooperative fault-tolerant tracking control for multi-agent systems: A multiple description encoding scheme.
Appl. Math. Comput., February, 2024

Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems.
IEEE CAA J. Autom. Sinica, January, 2024

Distributed Fault Estimation Over Sensor Networks With Randomly Switching Topologies Under Binary Encoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2024

A Recursive Matrix Inequality Approach to Distributed Filtering Over Binary Sensor Networks: Handling Amplify-and-Forward Relays.
IEEE Trans. Netw. Sci. Eng., 2024

Private Synchronization Control of Complex Networks Against Eavesdropping Attacks: A Differential Privacy Scheme.
IEEE Trans. Netw. Sci. Eng., 2024

Outlier-resistant distributed fusion filtering for nonlinear discrete-time singular systems under a dynamic event-triggered scheme.
Frontiers Inf. Technol. Electron. Eng., 2024

Multi-sensor information fusion filtering for delayed nonlinear stochastic singular systems with packet disorders.
J. Frankl. Inst., 2024

Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models.
CoRR, 2024

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.
CoRR, 2024

Quadratic filtering for linear stochastic systems with dynamical bias under amplify-and-forward relays: Dealing with non-Gaussian noises.
Autom., 2024

Protocol-based fault detection for state-saturated systems with sensor nonlinearities and redundant channels.
Appl. Math. Comput., 2024

2023
Event-triggered formation-containment control for multi-agent systems based on sliding mode control approaches.
Neurocomputing, December, 2023

Sliding Mode Control for Sampled-Data Systems Subject to Deception Attacks: Handling Randomly Perturbed Sampling Periods.
IEEE Trans. Cybern., November, 2023

Distributed Resilient Fusion Filtering for Nonlinear Systems with Random Sensor Delays: Optimized Algorithm Design and Boundedness Analysis.
J. Syst. Sci. Complex., August, 2023

Trust-based distributed state estimation for microgrids with encoding-decoding mechanisms.
Inf. Sci., August, 2023

Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay.
Inf. Sci., June, 2023

Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations.
Commun. Nonlinear Sci. Numer. Simul., May, 2023

Distributed Formation-Containment Control for Discrete-Time Multiagent Systems Under Dynamic Event-Triggered Transmission Scheme.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Event-Based Joint State and Unknown Input Estimation for Energy Networks: Handling Multi-Machine Power Grids.
IEEE Trans. Netw. Sci. Eng., 2023

Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework.
Inf. Fusion, 2023

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model.
IROS, 2023

Random Shuffle Transformer for Image Restoration.
Proceedings of the International Conference on Machine Learning, 2023

Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
On State Estimation for Discrete Time-Delayed Memristive Neural Networks Under the WTOD Protocol: A Resilient Set-Membership Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Neural-Network-Based Filtering for A General Class of Nonlinear Systems under Dynamically Bounded Innovations Over Sensor Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks.
IEEE Trans. Netw. Sci. Eng., 2022

Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism.
IEEE Trans. Cybern., 2022

Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.
IEEE Trans. Cybern., 2022

Distributed Quasiconsensus Control for Stochastic Multiagent Systems Under Round-Robin Protocol and Uniform Quantization.
IEEE Trans. Cybern., 2022

Encoding-Decoding-Based Distributed Filtering for Time-Varying Saturated Systems With Constrained Bit Rate.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol.
J. Frankl. Inst., 2022

H∞ observer design for networked Hamiltonian systems with sensor saturations and missing measurements.
Inf. Sci., 2022

H∞ fusion estimation for uncertain discrete time-delayed Hamiltonian systems with sensor saturations: An event-triggered approach.
Inf. Fusion, 2022

Multi-sensor multi-rate fusion estimation for networked systems: Advances and perspectives.
Inf. Fusion, 2022

Unbiasedness-constrained least squares state estimation for time-varying systems with missing measurements under round-robin protocol.
Int. J. Syst. Sci., 2022

Resilient energy-to-peak filtering for linear parameter-varying systems under random access protocol.
Int. J. Syst. Sci., 2022

Protocol-based variance-constrained distributed secure filtering with measurement censoring.
Int. J. Syst. Sci., 2022

A survey on fault-tolerant consensus control of multi-agent systems: trends, methodologies and prospects.
Int. J. Syst. Sci., 2022

Distributed multi-step subgradient projection algorithm with adaptive event-triggering protocols: a framework of multiagent systems.
Int. J. Syst. Sci., 2022

Monogenic features based single sample face recognition by kernel sparse representation on multiple Riemannian manifolds.
Neurocomputing, 2022

Estimator-based iterative deviation-free residual generator for fault detection under random access protocol.
Neurocomputing, 2022

Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case.
Neurocomputing, 2022

State estimate via outputs from the fraction of nodes for discrete-time complex networks with Markovian jumping parameters and measurement noise.
Neurocomputing, 2022

A zonotope-based fault detection for multirate systems with improved dynamical scheduling protocols.
Neurocomputing, 2022

Communication-protocol-based distributed filtering for general systems over sensor networks: developments and challenges.
Int. J. Gen. Syst., 2022

Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints.
IEEE CAA J. Autom. Sinica, 2022

Nonlinear distributed filtering subject to censoring measurements under dynamic event-triggered communication mechanism: The state-saturated case.
Commun. Nonlinear Sci. Numer. Simul., 2022

Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes.
Sci. China Inf. Sci., 2022

2021
Design of Sliding-Mode-Based Control for Nonlinear Systems With Mixed-Delays and Packet Losses Under Uncertain Missing Probability.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Partial-Nodes-Based Scalable H<sub>∞</sub>-Consensus Filtering With Censored Measurements Over Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Resilient Approach to Recursive Distributed Filtering for Multirate Systems Over Sensor Networks With Time-Correlated Fading Channels.
IEEE Trans. Signal Inf. Process. over Networks, 2021

A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2021

Event-based resilient filtering for stochastic nonlinear systems via innovation constraints.
Inf. Sci., 2021

On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol.
Inf. Sci., 2021

Recursive filtering of networked nonlinear systems: a survey.
Int. J. Syst. Sci., 2021

Fault detection of networked dynamical systems: a survey of trends and techniques.
Int. J. Syst. Sci., 2021

A survey on sliding mode control for networked control systems.
Int. J. Syst. Sci., 2021

A survey on state estimation of complex dynamical networks.
Int. J. Syst. Sci., 2021

Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects.
Int. J. Syst. Sci., 2021

Sampled-data non-fragile state estimation for delayed genetic regulatory networks under stochastically switching sampling periods.
Neurocomputing, 2021

Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model.
CoRR, 2021

2020
Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol.
IEEE Trans. Cybern., 2020

Delay-Distribution-Dependent H<sub>∞</sub> State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements.
IEEE Trans. Cybern., 2020

H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol.
Neural Networks, 2020

On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism.
Inf. Sci., 2020

Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays.
Int. J. Syst. Sci., 2020

Non-fragile distributed state estimation over sensor networks subject to DoS attacks: the almost sure stability.
Int. J. Syst. Sci., 2020

Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol.
Int. J. Syst. Sci., 2020

Distributed recursive filtering for discrete time-delayed stochastic nonlinear systems based on fuzzy rules.
Neurocomputing, 2020

An overview of stability analysis and state estimation for memristive neural networks.
Neurocomputing, 2020

New Results on Synchronization of Fractional-Order Memristor-Based Neural Networks via State Feedback Control.
Complex., 2020

Anti-disturbance filter design for a class of stochastic systems with fading channels.
Sci. China Inf. Sci., 2020

2019
Non-Fragile Distributed Fault Estimation for a Class of Nonlinear Time-Varying Systems Over Sensor Networks: The Finite-Horizon Case.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Near-Optimal Resilient Control Strategy Design for State-Saturated Networked Systems Under Stochastic Communication Protocol.
IEEE Trans. Cybern., 2019

Observer-Based Event-Triggered Control for Nonlinear Systems With Mixed Delays and Disturbances: The Input-to-State Stability.
IEEE Trans. Cybern., 2019

Input-to-State Stabilization in Probability for Nonlinear Stochastic Systems Under Quantization Effects and Communication Protocols.
IEEE Trans. Cybern., 2019

Study on the estimation of blocking rate in wide-aisle picking system.
Soft Comput., 2019

\(H_{\infty }\) state estimation for discrete-time stochastic memristive BAM neural networks with mixed time-delays.
Int. J. Mach. Learn. Cybern., 2019

Networked recursive filtering for time-delayed nonlinear stochastic systems with uniform quantisation under Round-Robin protocol.
Int. J. Syst. Sci., 2019

Variance-constrained filtering for discrete-time genetic regulatory networks with state delay and random measurement delay.
Int. J. Syst. Sci., 2019

Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol.
Neurocomputing, 2019

Finite-horizon distributed <i>H</i><sub>∞</sub>-consensus control of time-varying multi-agent systems with Round-Robin protocol.
Neurocomputing, 2019

Dynamical performance analysis of communication-embedded neural networks: A survey.
Neurocomputing, 2019

Sliding mode control for Markovian jump repeated scalar nonlinear systems with packet dropouts: The uncertain occurrence probabilities case.
Appl. Math. Comput., 2019

2018
Event-Triggered H<sub>∞</sub> State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case.
IEEE Trans. Neural Networks Learn. Syst., 2018

Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays.
Neural Networks, 2018

Robust MPC under event-triggered mechanism and Round-Robin protocol: An average dwell-time approach.
Inf. Sci., 2018

Finite-horizon H∞ state estimation for artificial neural networks with component-based distributed delays and stochastic protocol.
Neurocomputing, 2018

Sliding mode control for networked systems with randomly varying nonlinearities and stochastic communication delays under uncertain occurrence probabilities.
Neurocomputing, 2018

Non-fragile - control for discrete-time stochastic nonlinear systems under event-triggered protocols.
Int. J. Gen. Syst., 2018

2016
H<sub>∞</sub> state estimation for discrete-time memristive recurrent neural networks with stochastic time-delays.
Int. J. Gen. Syst., 2016

2014
On solutions to fuzzy stochastic differential equations with local martingales.
Syst. Control. Lett., 2014

Almost sure stability for uncertain differential equation.
Fuzzy Optim. Decis. Mak., 2014

2013
Track Algorithm for High Speed Target Based on Buffer-Diffluence Model.
Proceedings of the Information Computing and Applications - 4th International Conference, 2013

2012
Existence and uniqueness of solutions to uncertain functional differential equations.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
An Application of the Forward Integral to an Insider's Optimal Portfolio with the Dividend.
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011

2010
A Pre-Identification Method for Chinese Named Entity Recognition.
J. Softw., 2010

2009
Cascade Chinese Potential Name Recognition.
Proceedings of the International Forum on Information Technology and Applications, 2009

A Hybrid Method of Chinese Prosodic Word Tagging Based on Keyword Anchor and Hidden Markov Model.
Proceedings of the 2009 International Conference on Asian Language Processing, 2009

2004
Rough Neural Network of Variable Precision.
Neural Process. Lett., 2004

1995
Molecular recognition of tRNA(Pro) by Escherichia coli proline tRNA synthetase in vitro.
Nucleic Acids Res., 1995

1988
General and Nimble OCR Open System and the Flexible Segmentation Recognition Algorithms.
Proceedings of IAPR Workshop on Computer Vision, 1988


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