Mei Liu

According to our database1, Mei Liu authored at least 96 papers between 2004 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 




New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators.
IEEE Trans. Industrial Informatics, 2019

A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach.
IEEE Trans. Industrial Informatics, 2019

New Results for Exponential Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays.
Neural Processing Letters, 2019

Robust clinical marker identification for diabetic kidney disease with ensemble feature selection.
JAMIA, 2019

Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer.
Neurocomputing, 2019

On positive realness, negative imaginariness, and H∞ control of state-space symmetric systems.
Automatica, 2019

A survey on projection neural networks and their applications.
Appl. Soft Comput., 2019

Isogeometric Bi-Directional Evolutionary Structural Optimization.
IEEE Access, 2019

Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation.
IEEE Access, 2019

Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019

Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot.
IEEE Access, 2019

Multidimensional Motion Parameters' Estimation for Multi-SAR System Using the Cubic Phase Function.
IEEE Trans. Geoscience and Remote Sensing, 2018

Bilinear Transformation for Discrete-Time Positive Real and Negative Imaginary Systems.
IEEE Trans. Automat. Contr., 2018

Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC Med. Inf. & Decision Making, 2018

Bike Fleet Allocation Models for Repositioning in Bike-Sharing Systems.
IEEE Intell. Transport. Syst. Mag., 2018

Aperiodically intermittent strategy for finite-time synchronization of delayed neural networks.
Neurocomputing, 2018

Intelligent Controllers for Multirobot Competitive and Dynamic Tracking.
Complexity, 2018

Partial-Fraction Expansion of Lossless Negative Imaginary Property and a Generalized Lossless Negative Imaginary Lemma.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Finite-time synchronization of delayed dynamical networks via aperiodically intermittent control.
J. Franklin Institute, 2017

Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network.
Front. Neurorobot., 2017

Properties and stability analysis of discrete-time negative imaginary systems.
Automatica, 2017

Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.
Artificial Intelligence in Medicine, 2017

Integrating Medication Alert Data into a Clinical Data Repository to Enable Retrospective Study of Drug Interaction Alerts in Clinical Practice.
Proceedings of the Summit on Clinical Research Informatics, 2017

Research on spatio-temporal context learning based on Harris-Surf.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?
Proceedings of the AMIA 2017, 2017

Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Soft Comput., 2016

On non-proper negative imaginary systems.
Systems & Control Letters, 2016

Synchronization of hybrid-coupled delayed dynamical networks via aperiodically intermittent pinning control.
J. Franklin Institute, 2016

Novel Complex-Valued Neural Network for Dynamic Complex-Valued Matrix Inversion.
JACIII, 2016

Finite-time synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays.
Neurocomputing, 2016

Bifurcation Analysis and Chaos Control in a Modified Finance System with Delayed Feedback.
I. J. Bifurcation and Chaos, 2016

Performance analyses of recurrent neural network models exploited for online time-varying nonlinear optimization.
Comput. Sci. Inf. Syst., 2016

Use of EMRs to Identify Drugs that Induce Acute Kidney Injury.
Proceedings of the Summit on Clinical Research Informatics, 2016

Connections between discrete- and continuous-time results for positive real and negative imaginary systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Never-Ending Medical Learning.
Proceedings of the AMIA 2016, 2016

An evolutionary trend reversion model for stock trading rule discovery.
Knowl.-Based Syst., 2015

iTrade: A Mobile Data-Driven Stock Trading System with Concept Drift Adaptation.
IJDWM, 2015

A Survey on Energy Harvesting and Integrated Data Sharing in Wireless Body Area Networks.
IJDSN, 2015

On α- and D-negative imaginary systems.
Int. J. Control, 2015

Stock trading rule discovery with an evolutionary trend following model.
Expert Syst. Appl., 2015

Concept drift mining of portfolio selection factors in stock market.
Electronic Commerce Research and Applications, 2015

Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction.
Decision Support Systems, 2015

Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review.
Appl. Soft Comput., 2015

Single-Carrier Space Time Transmission Diversity with Decision Feedback Equalization.
JSW, 2014

Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning.
JAMIA, 2014

A causal feature selection algorithm for stock prediction modeling.
Neurocomputing, 2014

The optimal pebbling number of square of paths and cycles.
Ars Comb., 2014

Three neural networks for nonlinear optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

A Differentiated Queueing Service based admission control policy for wireless multimedia.
Proceedings of the IEEE International Conference on Communications, 2014

Discovering Many-to-One Causality in Software Project Risk Analysis.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

Adverse Drug Effect Detection.
IEEE J. Biomedical and Health Informatics, 2013

Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.
JAMIA, 2013

Joint space-time-frequency method based on fractional Fourier transform to estimate moving target parameters for multistatic synthetic aperture radar.
IET Signal Processing, 2013

QoS provisioning performance of IntServ, DiffServ and DQS with multiclass self-similar traffic.
Trans. Emerging Telecommunications Technologies, 2013

Software project risk analysis using Bayesian networks with causality constraints.
Decision Support Systems, 2013

An integrative framework for intelligent software project risk planning.
Decision Support Systems, 2013

An Intelligent Search Engine for Agricultural Disease Prescription.
Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

iTrade: An Adaptive Risk-Adjusted Intelligent Stock Trading System from the Perspective of Concept Drift.
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

Identifying Inconsistencies in SNOMED CT Problem Lists using Structural Indicators.
Proceedings of the AMIA 2013, 2013

Data mining methodologies for pharmacovigilance.
SIGKDD Explorations, 2012

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
JAMIA, 2012

Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches.
IJDMB, 2012

Using the Facebook group as a learning management system: An exploratory study.
BJET, 2012

Ranking Gene-Drug Relationships in Biomedical Literature Using Latent Dirichlet Allocation.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Detecting Adverse Drug Reactions Using Inpatient Medication Orders and Laboratory Tests Data.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

A Study of Transportability of an Existing Smoking Status Detection Module across Institutions.
Proceedings of the AMIA 2012, 2012

A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
JAMIA, 2011

Evaluation of intermolecular forces in a circulating system.
Biosystems, 2011

eHCBAC: Flexible Column Based Access Control for Electronic Healthcare Systems.
Proceedings of the IEEE 10th International Conference on Trust, 2011

Efficient Action Extraction with Many-to-Many Relationship between Actions and Features.
Proceedings of the Logic, Rationality, and Interaction - Third International Workshop, 2011

A Modified Securities Model Based on Public Key Infrastructure.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

A scalable intelligent non-content-based spam-filtering framework.
Expert Syst. Appl., 2010

Identifying potential drugs that induce QT prolongation using electronic medical records.
BMC Bioinformatics, 2010

Node Task Allocation Based on PSO in WSN Multi-target Tracking.
AISS, 2010

Geometry stabilizing control of the extended nonholonomic double intergrator.
Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Manipulating a Micro Stream by 'Hydro Tweezers' for Integration of Nanodevices.
Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010

On Trustworthiness of CPU Usage Metering and Accounting.
Proceedings of the 30th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2010 Workshops), 2010

Elastic neural network method for multi-target tracking task allocation in wireless sensor network.
Computers & Mathematics with Applications, 2009

Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms.
BMC Bioinformatics, 2009

Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks.
Bioinformatics, 2009

Exploring Cost-Sensitive Learning in Domain Based Protein-Protein Interaction Prediction.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

An Improved FP-Growth Algorithm and its Application in Tongue Diagnosis of Traditional Chinese Medicine.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Anti-dumping Early-Warning Model Based on Entropy Weight and SOM.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

Visualization Study of fKdV Equation Simulation with Matlab.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

Efficient Supply Chain Adjustment Model with Demand Fluctuations in E-commerce.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

DSM based process analysis for concurrent product development and its implementation.
Proceedings of the 12th International Conference on CSCW in Design, 2008

Protein-Protein Interaction Prediction and Assessment from Model Organisms.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Software Project Risk Management Modeling with Neural Network and Support Vector Machine Approaches.
Proceedings of the Third International Conference on Natural Computation, 2007

Analyzing Software System Quality Risk Using Bayesian Belief Network.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Domain-Based Predictive Models for Protein-Protein Interaction Prediction.
EURASIP J. Adv. Sig. Proc., 2006

A Neural Networks Approach for Software Risk Analysis.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Methodology of Integrated History Knowledge Management for Concurrent Engineering in Lifecycle of Product Development Process.
Proceedings of the 10th International Conference on CSCW in Design, 2006

Prediction of protein-protein interactions using random decision forest framework.
Bioinformatics, 2005

History knowledge management in lifecycle of product development and its implementation.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Methodology of Integrated Knowledge Management in Lifecycle of Product Development Process and Its Implementation.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004