Lei Jia

Orcid: 0000-0003-0192-825X

According to our database1, Lei Jia authored at least 130 papers between 1997 and 2024.

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Bibliography

2024
Modified Noise-Immune Fuzzy Neural Network for Solving the Quadratic Programming With Equality Constraint Problem.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Stabilisation of multi-agent systems over finite fields based on high-order fully actuated system approaches.
Int. J. Syst. Sci., September, 2024

A Novel Zeroing Neurodynamic Method Based on Discrete Fuzzy Control System: Design, Analysis, and Verification.
IEEE Trans. Fuzzy Syst., August, 2024

A Dynamic Parameter Noise-Tolerant Zeroing Neural Network for Time-Varying Quaternion Matrix Equation With Applications.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application.
IEEE Trans. Cybern., February, 2024

AUV Surfacing Control With Adversarial Attack Against DLaaS Framework.
IEEE Trans. Computers, February, 2024

Reducing Memory Contention and I/O Congestion for Disk-based GNN Training.
CoRR, 2024

Optimization of virtual screening against phosphoinositide 3-kinase delta: Integration of common feature pharmacophore and multicomplex-based molecular docking.
Comput. Biol. Chem., 2024

GNNDrive: Reducing Memory Contention and I/O Congestion for Disk-based GNN Training.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Spatiotemporal Water Quality Prediction Using Graph Neural Networks Based on Diffusion Decay Partial Differential Equations.
Proceedings of the 9th IEEE/ACIS International Conference on Big Data, 2024

2023
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach.
IEEE Trans. Fuzzy Syst., December, 2023

A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion.
IEEE Trans. Fuzzy Syst., November, 2023

A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator.
J. Frankl. Inst., November, 2023

Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation.
Neurocomputing, November, 2023

Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis.
Adv. Eng. Informatics, October, 2023

Prescribed-time robust ZNN models for solving equality and inequality systems.
J. Frankl. Inst., September, 2023

Developing new PI3Kγ inhibitors by combining pharmacophore modeling, molecular dynamic simulation, molecular docking, fragment-based drug design, and virtual screening.
Comput. Biol. Chem., June, 2023

An LSTM and ANN Fusion Dynamic Model of a Proton Exchange Membrane Fuel Cell.
IEEE Trans. Ind. Informatics, April, 2023

Modified Lamb Wave Delay Factor-Based Multiply-Sum Probabilistic Diagnostic Imaging Algorithm of Composite Structures.
IEEE Trans. Instrum. Meas., 2023

Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling.
IEEE Trans. Geosci. Remote. Sens., 2023

AisLSM: Revolutionizing the Compaction with Asynchronous I/Os for LSM-tree.
CoRR, 2023

Research on low-carbon planning methods for large-scale shipping parts production workshops.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

Atomic but Lazy Updating with Memory-mapped Files for Persistent Memory.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation.
Int. J. Intell. Syst., December, 2022

VisInt-VHM.
Dataset, January, 2022

Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI.
IEEE Trans. Neural Networks Learn. Syst., 2022

Bearing Fault Diagnosis Method Based on Complementary Feature Extraction and Fusion of Multisensor Data.
IEEE Trans. Instrum. Meas., 2022

Ultrasonic Guided Wave Damage Localization in Hole-Structural Bearing Crossbeam Based on Improved RAPID Algorithm.
IEEE Trans. Instrum. Meas., 2022

Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022

Finite-Time Solution of Time-Varying Tensor Inversion by a Novel Dynamic-Parameter Zeroing Neural-Network.
IEEE Trans. Ind. Informatics, 2022

A Novel Two-Stage Unsupervised Fault Recognition Framework Combining Feature Extraction and Fuzzy Clustering for Collaborative AIoT.
IEEE Trans. Ind. Informatics, 2022

ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation.
IEEE Trans. Ind. Informatics, 2022

Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic Positioning.
IEEE Trans. Ind. Informatics, 2022

Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022

Design and Analysis of a Noise-Resistant ZNN Model for Settling Time-Variant Linear Matrix Inequality in Predefined-Time.
IEEE Trans. Ind. Informatics, 2022

Application of Two Fuzzy Logic Systems to Complex-Type ZNN Models for the Drazin Inverse of Time-Dependent Complex-Value Matrix.
IEEE Trans. Fuzzy Syst., 2022

A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations.
Knowl. Based Syst., 2022

ZNN for time-variant nonlinear inequality systems: A finite-time solution.
Neurocomputing, 2022

A novel ZNN model for fast synchronisation of chaos systems with external disturbances.
Neurocomputing, 2022

Two discrete ZNN models for solving time-varying augmented complex Sylvester equation.
Neurocomputing, 2022

Effect of Superheat Steam on Ejector in Distilled Water Preparation System for Medical Injection.
Entropy, 2022

HMD-Net: A Vehicle Hazmat Marker Detection Benchmark.
Entropy, 2022

Exploring PI3Kγ binding preference with Eganelisib, Duvelisib, and Idelalisib <i>via</i> energetic, pharmacophore and dissociation pathway analyses.
Comput. Biol. Medicine, 2022

Improved finite-time solutions to time-varying Sylvester tensor equation via zeroing neural networks.
Appl. Math. Comput., 2022

2021
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting.
IEEE Trans. Smart Grid, 2021

Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., 2021

IFDS: An Intelligent Fault Diagnosis System With Multisource Unsupervised Domain Adaptation for Different Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Novel Three-Stage Feature Fusion Method of Multimodal Data for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2021

Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification.
IEEE Trans. Ind. Informatics, 2021

Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning.
IEEE Trans. Ind. Informatics, 2021

Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem.
IEEE Trans. Fuzzy Syst., 2021

A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance.
IEEE Trans. Fuzzy Syst., 2021

Phase Demodulation Method for Fringe Projection Measurement Based on Improved Variable-Frequency Coded Patterns.
Sensors, 2021

High-order error function designs to compute time-varying linear matrix equations.
Inf. Sci., 2021

Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci., 2021

Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction.
IEEE Internet Things J., 2021

Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems.
Neurocomputing, 2021

Discovery of potential inhibitors targeting the kinase domain of polynucleotide kinase/phosphatase (PNKP): Homology modeling, virtual screening based on multiple conformations, and molecular dynamics simulation.
Comput. Biol. Chem., 2021

2020
Retraining Strategy-Based Domain Adaption Network for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020

Kernel Recursive Least Squares Algorithm Based on the Nystr${\rm {{\ddot{\bf {o}}}}}$m Method With $k$-Means Sampling.
IEEE Signal Process. Lett., 2020

New error function designs for finite-time ZNN models with application to dynamic matrix inversion.
Neurocomputing, 2020

Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances.
Neurocomputing, 2020

Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network.
IEEE Access, 2020

Adaptive Multiple-View Label Propagation for Semi-supervised Classification.
Proceedings of the Neural Computing for Advanced Applications, 2020

Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Workload-Aware Load Balancing Algorithm for Cluster Rendering Platform.
Proceedings of the 23rd IEEE International Conference on Computational Science and Engineering, 2020

2019
A Coarse-to-Fine Model for Rail Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2019

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification.
IEEE Trans. Big Data, 2019

RiceRelativesGD: a genomic database of rice relatives for rice research.
Database J. Biol. Databases Curation, 2019

Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations.
IEEE Access, 2019

Sequential Information Bottleneck Network for RUL Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Adaptive Non-Local Means-Based Nonlinear Fitting for Visibility Improving.
Symmetry, 2018

Design and Optimization of FBG Implantable Flexible Morphological Sensor to Realize the Intellisense for Displacement.
Sensors, 2018

Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018

Acceleration Analysis of Multi-rigid-Body Systems and its Application for Parallel stabilized Platform.
Int. J. Robotics Autom., 2018

Chemi-net: a graph convolutional network for accurate drug property prediction.
CoRR, 2018

A Deep Learnable Framework for 3D Point Clouds Pose Transformation Regression.
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

2017
Neutral Point Voltage Ripple Suppression for a Three-Phase Four-Wire Inverter With an Independently Controlled Neutral Module.
IEEE Trans. Ind. Electron., 2017

Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks, 2017

Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl. Based Syst., 2017

A Reliable Scheduling Algorithm for Render Cluster System.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Pose Estimation with Mismatching Region Detection in Robot Bin Picking.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

A Registration Method for 3D Point Clouds with Convolutional Neural Network.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2016
Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures.
Sensors, 2016

Transductive Classification by Robust Linear Neighborhood Propagation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fast Hierarchical Template Matching Strategy for Real-Time Pose Estimation of Texture-Less Objects.
Proceedings of the Intelligent Robotics and Applications - 9th International Conference, 2016

Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Development and Application of Smart Geogrid Embedded with Fiber Bragg Grating Sensors.
J. Sensors, 2015

Application Streaming: A Mobile Application Distribution Method.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Particle on Bump (POB) technique for ultra-fine pitch chip on glass (COG) applications by conductive particles and adhesives.
Microelectron. Reliab., 2014

2013
ACF-COG interconnection conductivity inspection system using conductive area.
Microelectron. Reliab., 2013

Quantitative Assessment of Uniformity in Particle Distribution.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013

A Novel Conductive Particle Dispersing Method via EHDA for POB-COG Packaging.
Proceedings of the Intelligent Robotics and Applications - 6th International Conference, 2013

Context-dependent deep neural networks for commercial Mandarin speech recognition applications.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2011
Structured precision modelling with Cholesky Basis Superposition for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Subspace constrained LU decomposition of FMLLR for rapid adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2011

A practical guideline to control structure selection for MIMO processes.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011

2010
Learning with Uncertain Kernel Matrix Set.
J. Comput. Sci. Technol., 2010

Confidence estimation for spoken language translation based on Round Trip Translation.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010

Urban Arterial Traffic Coordination Control System.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

Nonlinear Analysis of a Hybrid Optimal Velocity Model with Relative Velocity for Traffic Flow.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2009
Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix.
Proceedings of the Advances in Machine Learning, 2009

2008
A Generic Diffusion Kernel for Semi-supervised Learning.
Proceedings of the Advances in Neural Networks, 2008

Short-term Traffic Flow Forecasting Model of Elman Neural Network Based on Dissimilation Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Hyperkernel Construction for Support Vector Machines.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A New Traffic Flow Model with the Effects of Backward Looking and Relative Current.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Automated Pharmacophore Query Optimization with Genetic AlgorithmsA Case Study Using the MC4R System.
J. Chem. Inf. Model., 2007

The Relationship of Kolb Learning Styles, Online Learning Behaviors and Learning Outcomes.
J. Educ. Technol. Soc., 2007

An algorithm of job shop rolling scheduling based on singular rough sets.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Simultaneous Tuning of Hyperparameter and Parameter for Support Vector Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Analysis of a New Car-following Model with a Consideration of Multi-interaction of Preceding vehicles.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

Target shape design optimization by evolving splines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
The Design and Implementation of Middleware-based and VR-based Software Framework for Distributed Industrial Robot Application in Train Maintenance.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Urban Traffic Flow Forecasting Model of Double RBF Neural Network Based on PSO.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2003
Tough Constraint-Based Frequent Closed Itemsets Mining.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Mining Association Rules with Frequent Closed Itemsets Lattice.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Using Loose and Tight Bounds to Mine Frequent Itemsets.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
Parametric trajectory segment model for LVCSR.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Including detailed information feature in MFCC for large vocabulary contious speech recornition.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
A novel target-driven MLLR adaptation algorithm with multi-layer structure.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

1997
The model reference adaptive control based on the genetic algorithm.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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