Dechang Pi

Orcid: 0000-0002-6593-4563

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (PhD 2002)


According to our database1, Dechang Pi authored at least 177 papers between 2005 and 2025.

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

Timeline

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Bibliography

2025
A context-aware zero trust-based hybrid approach to IoT-based self-driving vehicles security.
Ad Hoc Networks, 2025

2024
Lot Sizing and Scheduling Problem in Distributed Heterogeneous Hybrid Flow Shop and Learning-Driven Iterated Local Search Algorithm.
IEEE Trans Autom. Sci. Eng., October, 2024

DDM-CGAN: a modified conditional generative adversarial network for SAR target image generation.
Multim. Tools Appl., October, 2024

Remaining useful life prediction based on spatiotemporal autoencoder.
Multim. Tools Appl., August, 2024

A metaheuristic-based algorithm for optimizing node deployment in wireless sensor network.
Neural Comput. Appl., July, 2024

Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems.
IEEE Trans. Reliab., June, 2024

A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features.
IEEE J. Biomed. Health Informatics, June, 2024

Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning.
Soft Comput., April, 2024

Knowledge-based multi-objective estimation of distribution algorithm for solving reliability constrained cloud workflow scheduling.
Clust. Comput., April, 2024

Balanced and robust unsupervised Open Set Domain Adaptation via joint adversarial alignment and unknown class isolation.
Expert Syst. Appl., March, 2024

A two-stage adversarial Transformer based approach for multivariate industrial time series anomaly detection.
Appl. Intell., March, 2024

Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach.
IEEE Trans. Comput. Soc. Syst., February, 2024

Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks.
Inf. Fusion, January, 2024

Denosieformer: A Transformer-Based Approach for Single-Channel EEG Artifact Removal.
IEEE Trans. Instrum. Meas., 2024

Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem.
Swarm Evol. Comput., 2024

MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects.
Swarm Evol. Comput., 2024

A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing.
Swarm Evol. Comput., 2024

A novel fine-grained rumor detection algorithm with attention mechanism.
Neurocomputing, 2024

Path optimization algorithm for mobile sink in wireless sensor network.
Expert Syst. Appl., 2024

A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time.
Eng. Appl. Artif. Intell., 2024

2023
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Knowl. Based Syst., November, 2023

A Discrete Interval-Based Multi-Objective Memetic Algorithm for Scheduling Workflow With Uncertainty in Cloud Environment.
IEEE Trans. Netw. Serv. Manag., September, 2023

Dual Mutual Robust Graph Convolutional Network for Weakly Supervised Node Classification in Social Networks of Internet of People.
IEEE Internet Things J., August, 2023

Modeling the social influence of COVID-19 via personalized propagation with deep learning.
World Wide Web (WWW), July, 2023

A Cluster-Based Cooperative Co-Evolutionary Algorithm for Multiobjective Workflow Scheduling in a Cloud Environment.
IEEE Trans Autom. Sci. Eng., July, 2023

Federated-SRUs: A Federated-Simple-Recurrent-Units-Based IDS for Accurate Detection of Cyber Attacks Against IoT-Augmented Industrial Control Systems.
IEEE Internet Things J., May, 2023

Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System.
IEEE Trans. Parallel Distributed Syst., April, 2023

DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks.
IEEE Trans. Ind. Informatics, March, 2023

SGTP: A Spatiotemporal Generalized Trajectory Publishing Method With Differential Privacy.
J. Ambient Intell. Humaniz. Comput., March, 2023

Early warning model for industrial internet platform based on graph neural network and time convolution network.
J. Ambient Intell. Humaniz. Comput., March, 2023

LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Hopf Bifurcation and Stability of the Double-Delay Lorenz System.
Int. J. Bifurc. Chaos, February, 2023

A Knowledge-Based Adaptive Discrete Water Wave Optimization for Solving Cloud Workflow Scheduling.
IEEE Trans. Cloud Comput., 2023

An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty.
IEEE Trans Autom. Sci. Eng., 2023

Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning.
Sensors, 2023

A new relational reflection graph convolutional network for the knowledge representation.
J. Ambient Intell. Humaniz. Comput., 2023

DUFuse: Deep U-Net for visual and infrared images fusion.
J. Ambient Intell. Humaniz. Comput., 2023

SAR-to-optical image translation for quality enhancement.
J. Ambient Intell. Humaniz. Comput., 2023

Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem.
Expert Syst. Appl., 2023

Novel trajectory privacy protection method against prediction attacks.
Expert Syst. Appl., 2023

Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft Based on Variational Autoencoder.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Novel Method for Radar Echo Target Detection.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Novel Explainable Rumor Detection Model with Fusing Objective Information.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Hybrid Discrete Differential Evolution and Deep Q-Network for Multimission Selective Maintenance.
IEEE Trans. Reliab., 2022

HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Netw. Serv. Manag., 2022

Electroencephalogram Signal Clustering With Convex Cooperative Games.
IEEE Trans. Knowl. Data Eng., 2022

An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Brain EEG Time-Series Clustering Using Maximum-Weight Clique.
IEEE Trans. Cybern., 2022

An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs.
IEEE Trans Autom. Sci. Eng., 2022

A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem.
Swarm Evol. Comput., 2022

Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment.
Swarm Evol. Comput., 2022

A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem.
Neural Comput. Appl., 2022

A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks.
IEEE Internet Things J., 2022

Knowledge embedding via hyperbolic skipped graph convolutional networks.
Neurocomputing, 2022

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks.
Future Gener. Comput. Syst., 2022

GCKG: Novel Gated Convolutional embedding model for Knowledge Graphs.
Expert Syst. Appl., 2022

AILS: A budget-constrained adaptive iterated local search for workflow scheduling in cloud environment.
Expert Syst. Appl., 2022

ClawGAN: Claw connection-based generative adversarial networks for facial image translation in thermal to RGB visible light.
Expert Syst. Appl., 2022

Bi-subgroup optimization algorithm for parameter estimation of a PEMFC model.
Expert Syst. Appl., 2022

Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction.
CoRR, 2022

Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning.
CoRR, 2022

Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories.
Appl. Soft Comput., 2022

A novel entity joint annotation relation extraction model.
Appl. Intell., 2022

Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems.
Ad Hoc Networks, 2022

2021
A Weight Possibilistic Fuzzy C-Means Clustering Algorithm.
Sci. Program., 2021

A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure.
Reliab. Eng. Syst. Saf., 2021

FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN.
Neural Comput. Appl., 2021

Effective constructive heuristic and iterated greedy algorithm for distributed mixed blocking permutation flow-shop scheduling problem.
Knowl. Based Syst., 2021

Adversarially regularized medication recommendation model with multi-hop memory network.
Knowl. Inf. Syst., 2021

DNC: A Deep Neural Network-based Clustering-oriented Network Embedding Algorithm.
J. Netw. Comput. Appl., 2021

DenseNetFuse: a study of deep unsupervised DenseNet to infrared and visual image fusion.
J. Ambient Intell. Humaniz. Comput., 2021

Hierarchical temporal-spatial preference modeling for user consumption location prediction in Geo-Social Networks.
Inf. Process. Manag., 2021

Biogc: A novel framework for biological network classification via machine learning.
Intell. Data Anal., 2021

Data streams oriented outlier detection method: a fast minimal infrequent pattern mining.
Int. Arab J. Inf. Technol., 2021

piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm.
Frontiers Comput. Sci., 2021

Discovery of stay area in indoor trajectories of moving objects.
Expert Syst. Appl., 2021

Differential privacy trajectory data protection scheme based on R-tree.
Expert Syst. Appl., 2021

Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem.
Expert Syst. Appl., 2021

Learning ladder neural networks for semi-supervised node classification in social network.
Expert Syst. Appl., 2021

Neighborhood global learning based flower pollination algorithm and its application to unmanned aerial vehicle path planning.
Expert Syst. Appl., 2021

piSAAC: Extended notion of SAAC feature selection novel method for discrimination of Enzymes model using different machine learning algorithm.
CoRR, 2021

Effective constructive heuristics for distributed no-wait flexible flow shop scheduling problem.
Comput. Oper. Res., 2021

Vehicle Type Recognition Algorithm Based on Improved Network in Network.
Complex., 2021

A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks.
Appl. Intell., 2021

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Graph augmented triplet architecture for fine-grained patient similarity.
World Wide Web, 2020

Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

CenEEGs: Valid EEG Selection for Classification.
ACM Trans. Knowl. Discov. Data, 2020

Shapelet-transformed Multi-channel EEG Channel Selection.
ACM Trans. Intell. Syst. Technol., 2020

Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem.
Swarm Evol. Comput., 2020

A reinforcement learning-based communication topology in particle swarm optimization.
Neural Comput. Appl., 2020

Network representation learning: a systematic literature review.
Neural Comput. Appl., 2020

Novel trajectory privacy-preserving method based on prefix tree using differential privacy.
Knowl. Based Syst., 2020

Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem.
Knowl. Based Syst., 2020

Identification of Epileptic Electroencephalograms Signals Using an Integrated Transfer Radius Basis Function Neural Network.
J. Medical Imaging Health Informatics, 2020

Multi-source information fusion based heterogeneous network embedding.
Inf. Sci., 2020

Novel trajectory privacy-preserving method based on clustering using differential privacy.
Expert Syst. Appl., 2020

Rumor detection based on propagation graph neural network with attention mechanism.
Expert Syst. Appl., 2020

Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment.
Expert Syst. Appl., 2020

Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions.
Complex., 2020

Impulsive synchronization of time-scales complex networks with time-varying topology.
Commun. Nonlinear Sci. Numer. Simul., 2020

Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem.
Appl. Intell., 2020

2019
A Pareto-Based Estimation of Distribution Algorithm for Solving Multiobjective Distributed No-Wait Flow-Shop Scheduling Problem With Sequence-Dependent Setup Time.
IEEE Trans Autom. Sci. Eng., 2019

A hybrid enhanced bat algorithm for the generalized redundancy allocation problem.
Swarm Evol. Comput., 2019

Local Search Methods for a Distributed Assembly No-Idle Flow Shop Scheduling Problem.
IEEE Syst. J., 2019

A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem.
Knowl. Based Syst., 2019

iBTC: 一种基于独立森林的移动对象轨迹聚类算法 (iBTC: A Trajectory Clustering Algorithm Based on Isolation Forest).
计算机科学, 2019

Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation.
Int. J. Distributed Sens. Networks, 2019

A novel multi-module neural network system for imbalanced heartbeats classification.
Expert Syst. Appl. X, 2019

Novel trajectory data publishing method under differential privacy.
Expert Syst. Appl., 2019

Learning deep neural networks for node classification.
Expert Syst. Appl., 2019

An indoor trajectory frequent pattern mining algorithm based on vague grid sequence.
Expert Syst. Appl., 2019

An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem.
Eng. Appl. Artif. Intell., 2019

Novel fruit fly algorithm for global optimisation and its application to short-term wind forecasting.
Connect. Sci., 2019

A Novel Prediction Method for Zinc-Binding Sites in Proteins by an Ensemble of SVM and Sample-Weighted Probabilistic Neural Network.
IEEE Access, 2019

HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA Systems.
IEEE Access, 2019

2018
A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2018

Novel Privacy-preserving algorithm based on frequent path for trajectory data publishing.
Knowl. Based Syst., 2018

A multi-objective discrete invasive weed optimization for multi-objective blocking flow-shop scheduling problem.
Expert Syst. Appl., 2018

A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion.
Comput. Oper. Res., 2018

MTEEGC: A novel approach for multi-trial EEG clustering.
Appl. Soft Comput., 2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Novel Algorithm for Mining Frequent Patterns of Moving Objects Based on Dictionary Tree Improvement.
Proceedings of the Data Science, 2018

Multivariate Synchronization Index Based on Independent Component Analysis for SSVEP-Based BCI.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

A Novel Unsupervised Time Series Discord Detection Algorithm in Aircraft Engine Gearbox.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Optimization of makespan for the distributed no-wait flow shop scheduling problem with iterated greedy algorithms.
Knowl. Based Syst., 2017

Parameter auto-selection for hemispherical resonator gyroscope's long-term prediction model based on cooperative game theory.
Knowl. Based Syst., 2017

一种基于假数据的新型轨迹隐私保护模型 (Novel Trajectory Privacy Preserving Mechanism Based on Dummies).
计算机科学, 2017

A Novel Kernel SVM Algorithm with Game Theory for Network Intrusion Detection.
KSII Trans. Internet Inf. Syst., 2017

Identification of Micro-blog Opinion Leaders based on User Features and Outbreak Nodes.
Int. J. Emerg. Technol. Learn., 2017

Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo.
Complex., 2017

Self-adaptive discrete invasive weed optimization for the blocking flow-shop scheduling problem to minimize total tardiness.
Comput. Ind. Eng., 2017

An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem.
Appl. Soft Comput., 2017

Memetic algorithm with node and edge histogram for no-idle flow shop scheduling problem to minimize the makespan criterion.
Appl. Soft Comput., 2017

A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection.
IEEE Access, 2017

Metric Learning Combining With Boosting for User Distance Measure in Multiple Social Networks.
IEEE Access, 2017

Integrative Method Based on Linear Regression for the Prediction of Zinc-Binding Sites in Proteins.
IEEE Access, 2017

DMFA-SR: Deeper Membership and Friendship Awareness for Social Recommendation.
IEEE Access, 2017

Learning user distance from multiple social networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Integrative computing method for the prediction of zinc-binding sites in proteins.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Artifact Removal Methods in Motor Imagery of EEG.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Trajectory Similarity-Based Prediction with Information Fusion for Remaining Useful Life.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Data Clustering Algorithm Based on Artificial Immune Network.
Proceedings of the Data Science, 2017

A Novel Method for Fast and Accurate Similarity Measure in Time Series Field.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

A hybrid iterated greedy algorithm for the distributed no-wait flow shop scheduling problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism for no-wait flow shop scheduling.
Knowl. Based Syst., 2016

一种时间序列分解的卫星周期性参数预测方法 (Prediction Algorithm for Seasonal Satellite Parameters Based on Time Series Decomposition).
计算机科学, 2016

一种改进拓扑势的意见领袖挖掘算法 (Improved Topology-potential-based Opinion Leader Mining Algorithm).
计算机科学, 2016

A self-guided differential evolution with neighborhood search for permutation flow shop scheduling.
Expert Syst. Appl., 2016

A Density-Based Clustering Algorithm with Sampling for Travel Behavior Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Mining Frequent Trajectory Patterns in Road Network Based on Similar Trajectory.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Data Aggregation and Analysis: A Fast Algorithm of ECG Recognition Based on Pattern Matching.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Anomaly Detection Algorithm for Helicopter Rotor Based on STFT and SVDD.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Performance Degradation Analysis Method Using Satellite Telemetry Big Data.
Proceedings of the Fuzzy Systems and Data Mining II, 2016

2015
基于精简关联度的基因表达数据迭代填补算法 (Iterative Imputation Algorithm Based on Reduced Relational Grade for Gene Expression Data).
计算机科学, 2015

Mining Potential Spammers from Mobile Call Logs.
Int. J. Distributed Sens. Networks, 2015

BIORV-NSA: Bidirectional inhibition optimization r-variable negative selection algorithm and its application.
Appl. Soft Comput., 2015

Sequential Pattern Mining and Matching Method with Its Application on Earthquakes.
Proceedings of the Cloud Computing and Security - First International Conference, 2015

2014
Approximate String Similarity Join using Hashing Techniques under Edit Distance Constraints.
J. Softw., 2014

Warehousing Massive Mobile Datasets.
J. Softw., 2014

A Large-Scale Study of Web Password Habits of Chinese Network Users.
J. Softw., 2014

A Parallel Algorithm to Mine Abnormal Patterns from Satellite Data.
Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014

An Effective Method for Mining Quantitative Association Rules with Clustering Partition in Satellite Telemetry Data.
Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014

2013
An Insensitivity Fuzzy C-means Clustering Algorithm Based on Penalty Factor.
J. Softw., 2013

2011
A Global Scheduling Algorithm Based on Dynamic Critical Path.
Proceedings of the IEEE 10th International Conference on Trust, 2011

2010
Trajectory Simplification and Classification for Moving Object with Road-Constraint.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

An XML-Based Data Model for Moving Object Database.
Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

2009
Delegation: a language facility for dynamic software adaptation.
ACM SIGSOFT Softw. Eng. Notes, 2009

Unifying Density-Based Clustering and Outlier Detection.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

A Trajectory Clustering Algorithm Based on Symmetric Neighborhood.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
An improved C-means clustering algorithm.
Comput. Syst. Sci. Eng., 2008

2006
Mining the Acceleration-Like Association Rules.
Proceedings of the Intelligence and Security Informatics, 2006

A Modified Fuzzy C-Means Algorithm for Association Rules Clustering.
Proceedings of the Computational Intelligence, 2006

2005
APA: An Interior-Oriented Intrusion Detection System Based on Multi-agents.
Proceedings of the Networking and Mobile Computing, Third International Conference, 2005


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