重点实验室2020年度发表论著情况

Design and analysis of anoise-suppression zeroing 

neural network approach for 

robust synchronization of 

chaotic systems 

Improved finite-time zeroing 

neural networks for time-varying complex Sylvester equation      sloving    

Mathematics and

Computers in

   Simulation

Design and Analysis of Two 

Prescribed-Time and Robust 

ZNN Models With Application 

to Time-Variant Stein Matrix 

IEEE Transactions 

on Neural 

Networks and 

Learning

STA-APSNFIS: STA-optimized adaptive presparse neuro-fuzzy 

inference system for online soft 

sensor 

Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild 

cognitive impairment 

Terminal handover 

in software-defined WLANs 

EURASIP Journal onWireless 

Communications and 

Networking

Magnetotelluric signal-noise 

separation using IE-LZC 

and MP

Feature selection via normative 

fuzzy information weight with  application into tumor 

classification

Applied Soft 

Computing

Fuzzy Detection aided Real-time and Robust Visual Tracking 

under Complex 

Environment

IEEE Trans on Fuzzy 

Systems

Novel multi-label feature 

selection via label symmetric         uncertainty correlation       

learning and feature 

redundancy evaluation

Knowledge Based 

Systems 

iCDA-CMG: identifying 

circRNA-disease associations by  federating multi-similarity 

fusion and  collective matrix 

completion

Molecular Genetics 

and Genomics

Stacked Autoencoder Based 

Deep Reinforcement Learning

for Online Resource Scheduling in Large-Scale MEC Networks

IEEE Internet of

Things Journal

A novel CERNNE approach for 

predicting Parkinson's 

Disease associated genes and

brain regions based 

on multimodal imaging 

genetics data

Medical Image

Analysis

The exploration of

Parkinson's disease: a

multi-modal data analysis of

resting functional magnetic

resonance imaging and gene data

Brain Imaging and   

Behavior

Multimodal Data Analysis of 

Alzheimer's Disease Based on 

Clustering Evolutionary 

Random Forest

IEEE Journal of  

Biomedical and 

Health Informatics

Comprehensive Analysis of A 

New Varying Parameter 

Zeroing Neural Network for 

Time Varying Matrix Inversion

IEEE Transactions

on Industrial 

Informatics

Deep-Learning-Based Joint 

Resource Scheduling Algorithmsfor Hybrid MEC Networks

IEEE Internet of 

Things Journal

Online monitoring of flotation 

froth bubble size distributions 

via multiscale deblurring and 

multistage jumping

Feature-Fused Full 

Convolutional Networks

IEEE Transactions on

Instrumentation and

Measurement

Clustering- Evolutionary

Random Support Vector

Machine Ensemble for

fMRI-Based Asperger

Syndrome Diagnosis

The Computer

Journal

Unsupervised attribute reduction based on α-approximate equal

relation in interval-valued

information

International Journal ofMachine Learning 

and  Cybernetics

Design and Application of A

Robust Zeroing Neural Networkto Kinematical Resolution of

Redundant Manipulators Under Various External Disturbances

Dynamic Analysis and Circuit 

Realization of a Novel

No-Equilibrium 5D Memristive Hyperchaotic System with

Hidden Extreme Multistability

A Novel Fuzzy-Power Zeroing Neural Network Model for

Time-Variant Matrix

Moore-Penrose Inversion with

Guaranteed Performance

IEEE Transactions on

Fuzzy Systems

New Error Function Designs for Finite-Time ZNN Models with    Application to Dynamic

Matrix Inversion

Knowledge granularity based

incremental attribute reduction  for incomplete decision systems

International Journal

of Machine Learning

and Cybernetics

Recent Progress on the

Intelligent Computing for

Multimodal Information

Fuzzy-aided solution for

out-of-view challenge in visual

tracking under IoT-assisted

complex environment

Neural Computing

and Applications

Electrical resistivity imaging

inversion based on a hybrid CCSFLA-MSVR method

Neural Processing

Letters

A Multimodal Deep

Architecture for Traditional

Chinese Medicine Diagnosis

Concurrency and

Computation: Practice  and Experience

An incremental attribute 

reduction approach based

knowledge granularity for

incomplete decision systems

Multistability Analysis,

Coexisting Multiple Attractors,

and FPGA Implementation of 

Yu–Wang Four-Wing Chaotic

System

Mathematical

Problems in

Engineering

Gait Recognition and

Understanding Based on

Hierarchical Temporal Memory Using 3D Gait Semantic

Folding

Toward Security Monitoring of

Industrial Cyber-Physical 

Systems via Hierarchically

Distributed Intrusion

FoGDbED: Fractional order 

Gaussian derivatives-based 

edge relevant structure detection using Caputo-Fabrizio definition

Digital Signal

processing

Multi-Set Canonical Correlation Analysis for 3D Abnormal Gait  Behaviour Recognition Based

on Virtual Sample

IOUC-3DSFCNN: 

Segmentation of Brain Tumors

via IOU Constraint 3D

Symmetric Full Convolution 

Network with Multimodal 

Auto-context

GTK: A Hybrid-Search

Algorithm of Top-Rank-k     

Frequent Patterns Based on

Greedy Strategy

Overview and methods of

correlation filter algorithms in

object tracking

A Noise-Tolerant Zeroing

Neural Network for Time-     

Dependent Complex Matrix

Inversion Under Various Kinds

of Noises

IEEE Transactions

on  Industrial

Informatics

Mobile Networks &

Applications

Design and Comprehensive

Analysis of a Noise-Tolerant

ZNN Model With Limited-Time Convergence for

Time-Dependent Nonlinear

Minimization

IEEE Transactions on Neural Networks and Learning

A Fully Complex-Valued and

Robust ZNN Model for

Dynamic Complex Matrix

Inversion Under External

Noises

Noise suppression for

magnetotelluric using

variational mode decomposition and detrended fluctuation

Journal of Applied

Geophysic

Toward flotation proces

soperation-state identification

via statistical modeling of     

biologically inspired Gabor

Filtering Responses

IEEE Transactions

on Cybernetics

View and Clothing

Invariant Gait Recognition via

3D Human Semantic Folding  

Adaptive intrusion detection

via GA-GOGMM-based pattern

learning with fuzzy rough set-

based attribute selection

An in-silico method with graph-based multi-label learning for

large-scale prediction of

circRNA-disease associations

Denoising of magnetotelluric

data using K-SVD dictionary

training

Geophysical

Prospectin

A closed-loop healthcare

processing approach based on

deep reinforcement learning

Multimedia Tools and

Applications

Finite-Time and

Predefined-Time Convergence 

Design for Zeroing Neural

Network: Theorem, Method, andVerification

IEEE Transactions on

Industrial Informatics