Yunni Xia

Orcid: 0000-0001-9024-732X

According to our database1, Yunni Xia authored at least 144 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Adaptive moving average Q-learning.
Knowl. Inf. Syst., December, 2024

An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system.
Softw. Qual. J., September, 2024

RPPM: A Reputation-Based and Privacy-Preserving Platoon Management Scheme in Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., June, 2024

Robust and efficient algorithms for conversational contextual bandit.
Inf. Sci., February, 2024

Asynchronous SGD with stale gradient dynamic adjustment for deep learning training.
Inf. Sci., 2024

A Novel Structured Task Scheduling Approach in Satellite Edge Computing Environments.
Proceedings of the IEEE International Conference on Web Services, 2024

A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2024

A Novel Predictive Approach to Content Popularity-Aware Edge Caching in VEC.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

SASpre: A Mobility-aware and Destination Prediction-based Resource Preallocation Approach for Edge Computing Servers.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
A Performance and Reliability-Guaranteed Predictive Approach to Service Migration Path Selection in Mobile Computing.
IEEE Internet Things J., October, 2023

Towards cost-effective and robust AI microservice deployment in edge computing environments.
Future Gener. Comput. Syst., April, 2023

Deep Learning Based Feature Envy Detection Boosted by Real-World Examples.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Automated Approach to Extracting Local Variables.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment.
Proceedings of the Web Services - ICWS 2023, 2023

An Evolutionary Game-based Approach to Vehicular Task Offloading in An MEC Environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

DQN-Based Applications Offloading with Multiple Interdependent Tasks in Mobile Edge Computing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

Edge Server Deployment Approach Based on Uniformity and Centrality.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

M-MNFT: A Novel Modified (m, n)-Fault Tolerance Approach for Service Migration in Vehicular Edge Computing.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
A novel fault-tolerant scheduling approach for collaborative workflows in an edge-IoT environment.
Digit. Commun. Networks, December, 2022

Novel Workload-Aware Approach to Mobile User Reallocation in Crowded Mobile Edge Computing Environment.
IEEE Trans. Intell. Transp. Syst., 2022

A novel vehicular task deployment method in hybrid MEC.
J. Cloud Comput., 2022

DoSRA: A Decentralized Approach to Online Edge Task Scheduling and Resource Allocation.
IEEE Internet Things J., 2022

Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model.
Comput. J., 2022

A Service-Enhanced Task Offloading Method in MEC-Enabled IoV Networks.
Proceedings of the IEEE Smartworld, 2022

Attention Auxiliary Spatial Fusion for Pedestrian Attribute Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Edge Computing-Based Multitasking Strategies in Smart Grids.
Proceedings of the Mobile Networks and Management - 12th EAI International Conference, 2022

FRSM: A Novel Fault-Tolerant Approach for Redundant-Path-Enabled Service Migration in Mobile Edge Computing.
Proceedings of the Web Services - ICWS 2022, 2022

Towards an Improved Bi-GAN-Based End-to-End One-Class Classifier for Anomaly Detection in Cloud Data-Centers.
Proceedings of the Web Services - ICWS 2022, 2022

A Novel Outlier-Tolerable and Predictive Approach to Web Service Composition.
Proceedings of the Web Services - ICWS 2022, 2022

A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation.
Proceedings of the Web Services - ICWS 2022, 2022

A Mobility-Aware and Fault-Tolerant Service Offloading Method in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2022

Improving Multi-model Hybrid Chinese Long-text Classification through BERT Optimisation.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

A fault-tolerant workflow scheduling method on deep reinforcement learning-based in edge environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

A Method for Mobile-Aware Multi-Vehicular Offloading in Hybrid Cloud-Edge Environment.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Hybrid Decision Based Multi-Agent Deep Reinforcement learning for Task Offloading in Collaborative Edge-Cloud Computing.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks.
IEEE Trans Autom. Sci. Eng., 2021

Effective hierarchical clustering based on structural similarities in nearest neighbor graphs.
Knowl. Based Syst., 2021

A Novel Reinforcement-Learning-Based Approach to Workflow Scheduling Upon Infrastructure-as-a-Service Clouds.
Int. J. Web Serv. Res., 2021

Online user allocation in mobile edge computing environments: A decentralized reactive approach.
J. Syst. Archit., 2021

A Novel Approach to Applications Deployment with Multiple Interdenpendent Tasks in a Hybrid Three-Layer Vehicular Computing Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Three-lane Car-flowing Model Accounting for Variable Lane Change and Driving Behavior.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Highly-Confident Protein Interactome Prediction via Variational Autoencoder.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Rec-clusterGCN: An Efficient Graph Convolution Network for Recommendation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation.
Proceedings of the Web Services - ICWS 2021, 2021

A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment.
Proceedings of the Web Services - ICWS 2021, 2021

A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

Robust Contextual Bandits via Bootstrapping.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows.
IEEE Trans Autom. Sci. Eng., 2020

A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures.
Secur. Commun. Networks, 2020

A Novel Approach to Scheduling Workflows Upon Cloud Resources with Fluctuating Performance.
Mob. Networks Appl., 2020

Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service.
IEEE Access, 2020

Local Peaks-Based Clustering Algorithm in Symmetric Neighborhood Graph.
IEEE Access, 2020

A Stochastic-Performance-Distribution-Based Approach to Cloud Workflow Scheduling with Fluctuating Performance.
Proceedings of the Web Services - ICWS 2020, 2020

Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach.
Proceedings of the Web Services - ICWS 2020, 2020

A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

A Novel Reinforcement-Learning-Based Approach to Scientific Workflow Scheduling.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Location-Aware Edge Service Migration for Mobile User Reallocation in Crowded Scenes.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

A Novel Probabilistic-Performance-Aware and Evolutionary Game-Theoretic Approach to Task Offloading in the Hybrid Cloud-Edge Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

A Predictive-Trend-Aware and Critical-Path-Estimation-Based Method for Workflow Scheduling Upon Cloud Services.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

Maximizing Reliability of Data-Intensive Workflow Systems with Active Fault Tolerance Schemes in Cloud.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters.
IEEE Trans. Serv. Comput., 2019

An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization.
IEEE Trans. Serv. Comput., 2019

A Novel Completion-Time-Minimization Scheduling Approach of Scientific Workflows Over Heterogeneous Cloud Computing Systems.
Int. J. Web Serv. Res., 2019

A Workload-Aware VM Consolidation Method Based on Coalitional Game for Energy-Saving in Cloud.
IEEE Access, 2019

Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship.
IEEE Access, 2019

Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning.
IEEE Access, 2019

A Fast Autoencoder-based Recommender.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters.
Proceedings of the Web Services - ICWS 2019, 2019

Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Joint Operator Scaling and Placement for Distributed Stream Processing Applications in Edge Computing.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

Reliability-aware and Deadline-constrained workflow scheduling in Mobile Edge Computing.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Mobility-Aware Tasks Offloading in Mobile Edge Computing Environment.
Proceedings of the 2019 Seventh International Symposium on Computing and Networking, 2019

Optimal Device Management Service Selection in Internet-of-Things.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.
IEEE Trans. Cybern., 2018

VCG Auction-Based Dynamic Pricing for Multigranularity Service Composition.
IEEE Trans Autom. Sci. Eng., 2018

Multi-Objective Optimization for Location Prediction of Mobile Devices in Sensor-Based Applications.
IEEE Access, 2018

Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds.
IEEE Access, 2018

A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds.
Proceedings of the Services Computing - SCC 2018, 2018

Collaborative Workflow Scheduling over MANET, a User Position Prediction-Based Approach.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

A Fluctuation-Aware Approach for Predictive Web Service Composition.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds.
IEEE Trans. Parallel Distributed Syst., 2017

An Energy-Aware and Under-SLA-Constraints VM Consolidation Strategy Based on the Optimal Matching Method.
Int. J. Web Serv. Res., 2017

On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds.
Int. J. Distributed Sens. Networks, 2017

Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision.
IEEE Access, 2017

Percentile performance analysis of infrastructure-as-a-service clouds with task retrials.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

2016
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.
IEEE Trans. Neural Networks Learn. Syst., 2016

An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
IEEE Trans Autom. Sci. Eng., 2016

On the performance and power consumption analysis of elastic clouds.
Concurr. Comput. Pract. Exp., 2016

A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.
IEEE Access, 2016

A Stochastic-Petri-Net-Based Model for Ontology-Based Service Composition.
Proceedings of the 9th International Conference on Service Science, 2016

On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
A Stochastic Approach to Analysis of Energy-Aware DVS-Enabled Cloud Datacenters.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds.
IEEE Trans. Ind. Informatics, 2015

An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems.
IEEE Trans. Ind. Informatics, 2015

Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds.
IEEE Trans Autom. Sci. Eng., 2015

Improving network topology-based protein interactome mapping via collaborative filtering.
Knowl. Based Syst., 2015

A time series and reduction-based model for modeling and QoS prediction of service compositions.
Concurr. Comput. Pract. Exp., 2015

A probabilistic model for performance analysis of cloud infrastructures.
Concurr. Comput. Pract. Exp., 2015

A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Queuing-Network-Based Approach to Performance Evaluation of Service Compositions.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

2014
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems.
IEEE Trans. Ind. Informatics, 2014

Emergence of universal global behavior from reversible local transitions in asynchronous systems.
Inf. Sci., 2014

Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint.
Proceedings of the 23rd Wireless and Optical Communication Conference, 2014

A time series and reduction based model for QoS prediction of service ontologies.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

2013
A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions.
IEEE Trans. Syst. Man Cybern. Syst., 2013

Boosting the K-Nearest-Neighborhood based incremental collaborative filtering.
Knowl. Based Syst., 2013

Applying the learning rate adaptation to the matrix factorization based collaborative filtering.
Knowl. Based Syst., 2013

Dependability Prediction of WS-BPEL Service Compositions Using Petri Net and Time Series Models.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

A comprehensive QoS determination model for Infrastructure-as-a-Service clouds.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Modeling and Performance Evaluation of BPEL Processes: A Stochastic-Petri-Net-Based Approach.
IEEE Trans. Syst. Man Cybern. Part A, 2012

Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization.
Knowl. Based Syst., 2012

A parallel matrix factorization based recommender by alternating stochastic gradient decent.
Eng. Appl. Artif. Intell., 2012

A non-Markovian stochastic Petri net-based approach to performance evaluation of ontology-based service composition.
Concurr. Comput. Pract. Exp., 2012

2011
A Novel Weighted Phrase-Based Similarity for Web Documents Clustering.
J. Softw., 2011

A Novel Failure Detection Algorithm for Reliable Distributed Systems.
J. Comput., 2011

A model-driven approach to predicting dependability of WS-CDL based service composition.
Concurr. Comput. Pract. Exp., 2011

A Stochastic-Petri-Net-Based Model for Ontology-Based Service Compositions.
Proceedings of the 5th IEEE International Symposium on Theoretical Aspects of Software Engineering, 2011

2010
Modeling and performance evaluation of service choreography based on stochastic Petri net.
J. Comput., 2010

Determing Performance of Choreography-based Composite Services.
J. Convergence Inf. Technol., 2010

Modeling and Reliability Prediction of WS-CDL Based Service Composition, a Petri-Net-Based Approach.
Proceedings of the Fifth IEEE International Symposium on Service-Oriented System Engineering, 2010

Performance Prediction of WS-CDL Based Service Composition.
Proceedings of the 10th International Conference on Quality Software, 2010

2009
A Stochastic Approach to Predicting Performance of Web Service Composition.
J. Comput., 2009

A novel reduction approach to analyzing QoS of workflow processes.
Concurr. Comput. Pract. Exp., 2009

A Petri-Net-Based Approach to QoS Estimation of Web Service Choreographies.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2009

2008
QoS modeling and analysis of component-based software systems: a stochastic approach.
Concurr. Comput. Pract. Exp., 2008

2007
Queuing analysis and performance evaluation of workflow through WFQN.
Proceedings of the First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering, 2007

Formalizing Web Service Choreography Interface.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
A stochastic model for workflow QoS evaluation.
Sci. Program., 2006

Stochastic modeling and quality evaluation of component-based software systems.
Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006

Stochastic Modeling and Quality Evaluation of Workflow Systems Based on QWF-Nets.
Proceedings of the Computational Science, 2006

2005
Property-Transition-Net-Based Workflow Process Modeling and Verification.
Proceedings of the First IPM International Workshop on Foundations of Software Engineering, 2005


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