Nian Zhang

Orcid: 0000-0003-1916-7719

According to our database1, Nian Zhang authored at least 90 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
IDG-SemiAD: An Immune Detector Generation-Based Collaborative Learning Scheme for Semi-supervised Anomaly Detection in Industrial Cyber-physical Systems.
Int. J. Comput. Intell. Syst., December, 2024

Binary matrix factorization via collaborative neurodynamic optimization.
Neural Networks, 2024

Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR method.
Kybernetes, 2024

Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry.
Eng. Appl. Artif. Intell., 2024

Transfer Learning-Based Deep Learning Model for Corn Leaf Disease Classification.
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model.
Proceedings of the International Joint Conference on Neural Networks, 2024

A COVID-19 CXR Image Recognition Method Based on Deep Transfer Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024

2023
An extended hybrid decision-making method under Fermatean hesitant fuzzy set based on regret theory.
J. Ambient Intell. Humaniz. Comput., December, 2023

A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network.
J. Ambient Intell. Humaniz. Comput., December, 2023

VIKOR method for Pythagorean hesitant fuzzy multi-attribute decision-making based on regret theory.
Eng. Appl. Artif. Intell., November, 2023

Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems.
J. Artif. Intell. Soft Comput. Res., October, 2023

Stable Matching for Crowdsourcing Last-Mile Delivery.
IEEE Trans. Intell. Transp. Syst., August, 2023

Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure.
Adv. Eng. Informatics, August, 2023

Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization.
Neural Comput. Appl., May, 2023

Guest editorial: Robust, explainable, and privacy-preserving deep learning.
Knowl. Based Syst., March, 2023

Optimization of maintenance personnel dispatching strategy in smart grid.
World Wide Web (WWW), January, 2023

An approach of selecting cold chain logistics service provider based on SNAand FCE method.
J. Intell. Fuzzy Syst., 2023

Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022
UTRAD: Anomaly detection and localization with U-Transformer.
Neural Networks, 2022

Multi-label modality enhanced attention based self-supervised deep cross-modal hashing.
Knowl. Based Syst., 2022

Channel exchange and adversarial learning guided cross-modal person re-identification.
Knowl. Based Syst., 2022

Research on Green Closed-Loop Supply Chain Considering Manufacturer's Fairness Concerns and Sales Effort.
J. Theor. Appl. Electron. Commer. Res., 2022

Robust supervised discrete hashing.
Neurocomputing, 2022

Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method.
Int. J. Fuzzy Syst., 2022

Editorial: Special Issue on Reliable Machine Learning and Optimization.
Int. J. Artif. Intell. Tools, 2022

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.
IET Image Process., 2022

A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Flexsim-based Simulation and Optimization of Green Logistics Distribution Center.
Proceedings of the ICCMS 2022: The 14th International Conference on Computer Modeling and Simulation, Chongqing, China, June 24, 2022

Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
Detecting slender objects with uncertainty based on keypoint-displacement representation.
Neural Networks, 2021

College Physical Education Course Management System Based on Internet of Things.
Mob. Inf. Syst., 2021

Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory.
J. Intell. Fuzzy Syst., 2021

Classification Method for Network Security Data Based on Multi-featured Extraction.
Int. J. Artif. Intell. Tools, 2021

LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks.
Complex., 2021

A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification.
Comput. Intell. Neurosci., 2021

Quadruplet-Based Deep Cross-Modal Hashing.
Comput. Intell. Neurosci., 2021

Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks.
Cybern. Syst., 2021

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.
Cybern. Syst., 2021

Analysis of Multi-Phase Trans-Inductor Voltage Regulator with Fast Transient Response for Large Load Current Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A 0.9-V 22.7-ppm/°C Sub-Bandgap Voltage Reference with Single BJT and Two Resistors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A 5.72-μW, 1.02-MHz, -40~125°C, 1μs-Startup Time Relaxation Oscillation with Fully-on-Chip Voltage Reference and LDO Regulator.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Non-negative Matrix Factorization for Binary Space Learning.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020
A novel method for multi-attribute risk decision-making based on regret theory and hybird information.
J. Intell. Fuzzy Syst., 2020

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering.
Int. J. Comput. Intell. Syst., 2020

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM).
CoRR, 2020

Study on Supply Chain considering Anticipated Regret under Price Discount.
Complex., 2020

Game Models for Closed-Supply Chain with Different Competition-Cooperation Relationships under Fairness Preference.
Complex., 2020

Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount.
Complex., 2020

Pricing and Coordination of Green Closed-Loop Supply Chain With Fairness Concerns.
IEEE Access, 2020

An Efficient Method of Advertising on Online Social Networks.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM).
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

Young Women Exposed Actively to the Value of Biomedical Engineering.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Editorial: Booming of Neural Networks and Learning Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

Dual hesitant fuzzy linguistic power-geometric operators based on Archimedean t-conorms and t-norms and their application to group decision making.
J. Intell. Fuzzy Syst., 2019

A novel superiority and inferiority ranking method for engineering investment selection under interval-valued intuitionistic fuzzy environment.
J. Intell. Fuzzy Syst., 2019

Dual Hesitant Fuzzy Linguistic Power-Average Operators Based on Archimedean t-Conorms and t-Norms.
IEEE Access, 2019

Transmission Line Ice Coating Prediction Model Based on EEMD Feature Extraction.
IEEE Access, 2019

2018
MAGDM method based on interval grey linguistic correlated ordered geometric operators.
J. Intell. Fuzzy Syst., 2018

Neurodynamics-Based Nonnegative Matrix Factorization for Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Supervised Feature Selection Method for High-Dimensional Data Classification in Photo-Thermal Infrared Imaging with Limited Training Data.
Proceedings of the 5th International Conference on Control, 2018

2017
Multi-kernel learning for multivariate performance measures optimization.
Neural Comput. Appl., 2017

A between-class overlapping coherence-based algorithm in KNN classification.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
An effective LS-SVM-based approach for surface roughness prediction in machined surfaces.
Neurocomputing, 2016

Research on bus travel decision system based on generalized cost calculation.
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

Building a more diverse biomedical engineering workforce: Biomedical engineering at the university of the district of Columbia, a historically black college & university.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Independent component analysis based blind source separation algorithm and its application in the gravity and magnetic signal processing.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method.
J. Intell. Fuzzy Syst., 2014

A novel SIR method for multiple attributes group decision making problem under hesitant fuzzy environment.
J. Intell. Fuzzy Syst., 2014

2013
Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
Proceedings of the IEEE International Systems Conference, 2013

Landmark-based localization for Unmanned Aerial Vehicles.
Proceedings of the IEEE International Systems Conference, 2013

2012
Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

Image hashing via hough transform.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Urban Stormwater Runoff Prediction Using Recurrent Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
A hybrid fuzzy logic controllers for complex environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2008
Real time implementation of Particle Swarm Optimiation based model parameter identification and an application example.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm.
Neurocomputing, 2007

Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Dual Fuzzy Logic Approach.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach.
IEEE Trans. Fuzzy Syst., 2006

Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP).
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A Switched-Resistor Approach to Hardware Implementation of Neural Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2003
Fuzzy logic in collective robotic search.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

An extended Kalman filter (EKF) approach on fuzzy system optimization problem.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

A fuzzy attributed graph approach to subcircuit extraction problem.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003


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