Weiguo Sheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Zonotopic non-fragile set-membership fusion estimation for nonlinear systems under sensor resolution effects: Boundedness and monotonicity.
Inf. Fusion, May, 2024

Support-Sample-Assisted Domain Generalization via Attacks and Defenses: Concepts, Algorithms, and Applications to Pipeline Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2024

Kernel Adaptive Filtering Over Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network.
IEEE Trans. Ind. Informatics, February, 2024

Nonlinear learning method for local causal structures.
Inf. Sci., January, 2024

2023
A novel method of human identification based on dental impression image.
Pattern Recognit., December, 2023

Efficient multi-view semi-supervised feature selection.
Inf. Sci., November, 2023

Adaptive collaborative fusion for multi-view semi-supervised classification.
Inf. Fusion, August, 2023

Protocol-based zonotopic state and fault estimation for communication-constrained industrial cyber-physical systems.
Inf. Sci., July, 2023

Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning.
IEEE Trans. Cybern., June, 2023

Sparse-to-dense coarse-to-fine depth estimation for colonoscopy.
Comput. Biol. Medicine, June, 2023

An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.
Inf. Sci., May, 2023

State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis.
Knowl. Based Syst., 2023

Zonotopic distributed fusion for nonlinear networked systems with bit rate constraint.
Inf. Fusion, 2023

A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection.
IEEE Access, 2023

Dense Depth Completion Based on Multi-Scale Confidence and Self-Attention Mechanism for Intestinal Endoscopy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Differential Evolution with Clustering-based Niching and Adaptive Mutation for Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Structure-Guided Graphical Lasso for Process Monitoring.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Event-Triggered Set-Membership State Estimation for Complex Networks: A Zonotopes-Based Method.
IEEE Trans. Netw. Sci. Eng., 2022

Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms.
IEEE Trans. Neural Networks Learn. Syst., 2022

Co-Evolutionary Fuzzy Deep Transfer Learning for Disaster Relief Demand Forecasting.
IEEE Trans. Emerg. Top. Comput., 2022

A Differential Evolution Algorithm With Adaptive Niching and K-Means Operation for Data Clustering.
IEEE Trans. Cybern., 2022

Adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization.
Inf. Sci., 2022

Recursive filtering for complex networks with time-correlated fading channels: An outlier-resistant approach.
Inf. Sci., 2022

Robust multi-view learning via adaptive regression.
Inf. Sci., 2022

Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers.
Expert Syst. Appl., 2022

An Adaptive Differential Evolution with Mutation Strategy Pools for Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Adaptive Multi-subpopulation based Differential Evolution for Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

Tridirectional Transfer Learning for Predicting Gastric Cancer Morbidity.
IEEE Trans. Neural Networks Learn. Syst., 2021

On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization.
IEEE Trans. Cybern., 2021

Finite-Horizon H<sub>∞</sub> State Estimation for Stochastic Coupled Networks With Random Inner Couplings Using Round-Robin Protocol.
IEEE Trans. Cybern., 2021

Deep Field Relation Neural Network for click-through rate prediction.
Inf. Sci., 2021

Adaptive memetic differential evolution with niching competition and supporting archive strategies for multimodal optimization.
Inf. Sci., 2021

An adaptive and opposite <i>K</i>-means operation based memetic algorithm for data clustering.
Neurocomputing, 2021

Distributed state and fault estimation over sensor networks with probabilistic quantizations: The dynamic event-triggered case.
Autom., 2021

Co-Evolutionary Niching Differential Evolution Algorithm for Global Optimization.
IEEE Access, 2021

Robust Adaptive-weighting Multi-view Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures.
IEEE Trans. Neural Networks Learn. Syst., 2020

Mixed $H_2/H_\infty$ State Estimation for Discrete-Time Switched Complex Networks With Random Coupling Strengths Through Redundant Channels.
IEEE Trans. Neural Networks Learn. Syst., 2020

Evolutionary Collaborative Human-UAV Search for Escaped Criminals.
IEEE Trans. Evol. Comput., 2020

Observer-Based Fuzzy Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems With Stochastic Noises.
IEEE Trans. Cybern., 2020

Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.
IEEE Trans. Cybern., 2020

Factorized weight interaction neural networks for sparse feature prediction.
Neural Comput. Appl., 2020

Dynamic event-triggered mechanism for <i>H</i><sub>∞</sub> non-fragile state estimation of complex networks under randomly occurring sensor saturations.
Inf. Sci., 2020

Target distance measurement method using monocular vision.
IET Image Process., 2020

Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization.
CoRR, 2020

Feature Interaction based Neural Network for Click-Through Rate Prediction.
CoRR, 2020

Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: A dynamic event-triggered approach.
Autom., 2020

Investigating Word Meta-Embeddings by Disentangling Common and Individual Information.
IEEE Access, 2020

A Transfer Learning Method with Multi-feature Calibration for Building Identification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Emergency Drug Procurement Planning Based on Big-Data Driven Morbidity Prediction.
IEEE Trans. Ind. Informatics, 2019

Collaborative Human-UAV Search and Rescue for Missing Tourists in Nature Reserves.
INFORMS J. Appl. Anal., 2019

Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification.
Neurocomputing, 2019

A multilevel sampling strategy based memetic differential evolution for multimodal optimization.
Neurocomputing, 2019

Recovering 6D object pose from RGB indoor image based on two-stage detection network with multi-task loss.
Neurocomputing, 2019

Water wave optimization for combinatorial optimization: Design strategies and applications.
Appl. Soft Comput., 2019

A Super-Resolution Generative Adversarial Network with Simplified Gradient Penalty and Relativistic Discriminator.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Generative adversarial network based telecom fraud detection at the receiving bank.
Neural Networks, 2018

Kernel group sparse representation classifier via structural and non-convex constraints.
Neurocomputing, 2018

GrabCut algorithm for dental X-ray images based on full threshold segmentation.
IET Image Process., 2018

A Hybrid Learning Scheme for Chinese Word Embedding.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017
Airline Passenger Profiling Based on Fuzzy Deep Machine Learning.
IEEE Trans. Neural Networks Learn. Syst., 2017

Research on watermarking payload under the condition of keeping JPEG image transparency.
Multim. Tools Appl., 2017

An evolutionary deep neural network for predicting morbidity of gastrointestinal infections by food contamination.
Neurocomputing, 2017

A niching evolutionary algorithm with adaptive negative correlation learning for neural network ensemble.
Neurocomputing, 2017

A theoretical 2D image model for locating 3D targets.
Int. J. Comput. Math., 2017

An Adaptive Memetic Algorithm With Rank-Based Mutation for Artificial Neural Network Architecture Optimization.
IEEE Access, 2017

A three-dimensional coordinate positioning method of fish target based on computer vision using a single camera.
Proceedings of the Advances in Mass Data Analysis of Images and Signals in Medicine, 2017

A novel dynamic crowding distance based diversity maintenance strategy for MOEAs.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Adaptive usage of K-means in evolutionary optimized data clustering.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

A Hybrid Parameter Adaptation Based GA and Its Application for Data Clustering.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

Population Control in Evolutionary Algorithms: Review and Comparison.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Adaptive Multisubpopulation Competition and Multiniche Crowding-Based Memetic Algorithm for Automatic Data Clustering.
IEEE Trans. Evol. Comput., 2016

A steganalysis method in the DCT domain.
Multim. Tools Appl., 2016

Research on realizing the 3D occlusion tracking location method of fish's school target.
Neurocomputing, 2016

A method for video authenticity based on the fingerprint of scene frame.
Neurocomputing, 2016

2015
A Biometric Key Generation Method Based on Semisupervised Data Clustering.
IEEE Trans. Syst. Man Cybern. Syst., 2015

An Adaptive Memetic Algorithm for Designing Artificial Neural Networks.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

A 3D occlusion tracking Model of the underwater fish targets.
Proceedings of the IEEE International Conference on Electro/Information Technology, 2015

Fingerprint Liveness Detection Based on Pore Analysis.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014
Multilocal Search and Adaptive Niching Based Memetic Algorithm With a Consensus Criterion for Data Clustering.
IEEE Trans. Evol. Comput., 2014

2012
Reliable and secure encryption key generation from fingerprints.
Inf. Manag. Comput. Secur., 2012

2010
A niching genetic <i>k</i>-means algorithm and its applications to gene expression data.
Soft Comput., 2010

2009
Consensus fingerprint matching with genetically optimised approach.
Pattern Recognit., 2009

2008
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection.
IEEE Trans. Knowl. Data Eng., 2008

Template-Free Biometric-Key Generation by Means of Fuzzy Genetic Clustering.
IEEE Trans. Inf. Forensics Secur., 2008

A genetic algorithm for fingerprint matching based on an integrated measure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Fuzzy Vault Fingerprint Smartcard Implementation Using an Orientation-Based Feature Vector.
Proceedings of the 2008 ECSIS Symposium on Bio-inspired, 2008

2007
A Memetic Fingerprint Matching Algorithm.
IEEE Trans. Inf. Forensics Secur., 2007

A Computationally Efficient Fingerprint Segmentation Algorithm Using Digital Closed Curves.
Proceedings of the 2007 International Conference on Image Processing, 2007

A Novel Level-Independent Fingerprint Segmentation Algorithm based on Fourier Energy.
Proceedings of the 2007 International Conference on Image Processing, 2007

Fingerprint Matching with an Evolutionary Approach.
Proceedings of the Advances in Biometrics, International Conference, 2007

2006
A genetic <i>k</i>-medoids clustering algorithm.
J. Heuristics, 2006

2005
A weighted sum validity function for clustering with a hybrid niching genetic algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2005

3D visualization of gene clusters and networks.
Proceedings of the Visualization and Data Analysis 2005, 2005

2004
3D Visualization of gene Clusters.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

Clustering with Niching Genetic K-means Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004

A hybrid algorithm for k-medoid clustering of large data sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004


  Loading...