Li Pan

Orcid: 0000-0001-6157-3740

Affiliations:
  • Shandong University, Jinan, China


According to our database1, Li Pan authored at least 135 papers between 2008 and 2025.

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Bibliography

2025
A Lyapunov Optimization-Based Online Algorithm for Scheduling Cloud-Edge Collaborative Real-Time Video Stream Analytics Tasks.
IEEE Internet Things J., July, 2025

An RL-Based Cost-Effective Two-Layer Scaling Strategy for Multiregional Heterogeneous and Time-Varying Cloud Instances.
IEEE Internet Things J., April, 2025

An Online Algorithm for Inference Service Scheduling Using Combinations of Server-Based and Serverless Instances in Cloud Environments.
IEEE Internet Things J., April, 2025

Online Traffic Allocation for Video Service Providers in Cloud-Edge Cooperative Systems.
IEEE Trans. Serv. Comput., 2025

RECaching: Cost-Effective Edge Caching for Cloud Storage With Differentiated Regional Workloads.
IEEE Trans. Serv. Comput., 2025

A Fair and Efficient Resource Allocation Algorithm for Cloud Rendering Jobs.
IEEE Trans. Serv. Comput., 2025

Potential Game-Based Computation Offloading in Edge Computing With Heterogeneous Edge Servers.
IEEE Trans. Netw. Sci. Eng., 2025

A Cost-Effective Hybrid Cloud Resource Scaling Framework for Batch Processing Services.
IEEE Trans. Netw. Sci. Eng., 2025

An Online Algorithm for Optimizing Network Transmission Cost of Federated Learning in the Cloud.
IEEE Trans. Netw. Sci. Eng., 2025

Caching or re-computing: Online cost optimization for running big data tasks in IaaS clouds.
J. Netw. Comput. Appl., 2025

Long-term river flow forecasting: An integrated deep learning model with multi-scale feature extraction.
Expert Syst. Appl., 2025

Incorporating AI Literacy and AI Anxiety Into TAM: Unraveling Chinese Scholars' Behavioral Intentions Toward Adopting AI-Assisted Literature Reading.
IEEE Access, 2025

How LLMs Aid in Domain Modeling: Opportunities and Challenges.
Proceedings of the IEEE International Conference on Software Services Engineering, 2025

2024
Collaborative Storage for Tiered Cloud and Edge: A Perspective of Optimizing Cost and Latency.
IEEE Trans. Mob. Comput., December, 2024

LIHAN: A Lattice-Guided Incomplete Heterogeneous Information Network Embedding Model for Node Classification.
IEEE Trans. Comput. Soc. Syst., December, 2024

A DRL-Based Real-Time Video Processing Framework in Cloud-Edge Systems.
IEEE Internet Things J., December, 2024

Service Provisioning Based on Edge-Cloud Collaboration: A Two-Timescale Online Scheduling Algorithm.
IEEE Internet Things J., October, 2024

Open knowledge base canonicalization with multi-task learning.
World Wide Web (WWW), September, 2024

Enhancing Temporal Knowledge Graph Alignment in News Domain With Box Embedding.
IEEE Trans. Comput. Soc. Syst., August, 2024

Predict industry merger waves utilizing supply network information.
J. Ambient Intell. Humaniz. Comput., July, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.
IEEE Trans. Comput. Soc. Syst., April, 2024

An Online Algorithm Based on Replication for Using Spot Instances in IaaS Clouds.
J. Comput. Sci. Technol., March, 2024

An online bi-objective scheduling algorithm for service provisioning in cloud computing.
J. Netw. Comput. Appl., February, 2024

SpotDAG: An RL-Based Algorithm for DAG Workflow Scheduling in Heterogeneous Cloud Environments.
IEEE Trans. Serv. Comput., 2024

DGERCL: A Dynamic Graph Embedding Approach for Root Cause Localization in Microservice Systems.
IEEE Trans. Serv. Comput., 2024

Caching or not: An online cost optimization algorithm for geodistributed data analysis in cloud environments.
J. Netw. Comput. Appl., 2024

An online cost optimization approach for edge resource provisioning in cloud gaming.
J. Netw. Comput. Appl., 2024

A Meta-Model Architecture and Elimination Method for Uncertainty Modeling.
IET Softw., 2024

Faster or Cheaper: A Q-learning based cost-effective mixed cluster scaling method for achieving low tail latencies.
Future Gener. Comput. Syst., 2024

A Q-learning based auto-scaling approach for provisioning big data analysis services in cloud environments.
Future Gener. Comput. Syst., 2024

Performance analysis of parallel composite service-based applications in clouds.
Future Gener. Comput. Syst., 2024

To store or not: Online cost optimization for running big data jobs on the cloud.
Future Gener. Comput. Syst., 2024

Open Knowledge Base Canonicalization with Multi-task Learning.
CoRR, 2024

An Online Mechanism for Market-Oriented Service Provisioning in Cloud Environments.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Reservoir Flood Prediction Service Based on Seq2seq Model.
Proceedings of the Service Science - CCF 17th International Conference, 2024

Research on Multi-Model Fusion for Multi-Indicator Collaborative Anomaly Prediction in IoT Devices.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

An Improved Genetic Optimization Algorithm for Scheduling Serverless Application Jobs in Public Cloud Environments.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Q-scheduler: Optimize Job Scheduling in Hadoop with Reinforcement Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Time series classification with random temporal features.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

A DRL-based online VM scheduler for cost optimization in cloud brokers.
World Wide Web (WWW), September, 2023

A rating prediction model with cross projection and evolving GCN for bitcoin trading network.
Pers. Ubiquitous Comput., August, 2023

Event-based incremental recommendation via factors mixed Hawkes process.
Inf. Sci., August, 2023

How the four-nodes motifs work in heterogeneous node representation?
World Wide Web (WWW), July, 2023

An online service provisioning strategy for container-based cloud brokers.
J. Netw. Comput. Appl., May, 2023

Heterogeneous graphlets-guided network embedding via eulerian-trail-based representation.
Inf. Sci., April, 2023

RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., February, 2023

Cost Optimization for Cloud Storage from User Perspectives: Recent Advances, Taxonomy, and Survey.
ACM Comput. Surv., 2023

Open Knowledge Base Canonicalization with Multi-task Unlearning.
CoRR, 2023

Dynamic Communications Network Linking Prediction by Disseminating Event Embedding.
Proceedings of the IEEE International Conference on Web Services, 2023

Domain modeling for scenario sensing and edge decision-making.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022
A Random Online Algorithm for Reselling Reserved IaaS Instances in Amazon's Cloud Marketplace.
IEEE Trans. Netw. Sci. Eng., 2022

Ontology Guided Sparse Tensor Factorization for joint recommendation with hierarchical relationships.
Pers. Ubiquitous Comput., 2022

A cost-driven online auto-scaling algorithm for web applications in cloud environments.
Knowl. Based Syst., 2022

An online algorithm for scheduling big data analysis jobs in cloud environments.
Knowl. Based Syst., 2022

Randomized online edge service renting: Extending cloud-based CDN to edge environments.
Knowl. Based Syst., 2022

A survey of resource provisioning problem in cloud brokers.
J. Netw. Comput. Appl., 2022

Learning to make auto-scaling decisions with heterogeneous spot and on-demand instances via reinforcement learning.
Inf. Sci., 2022

Fully convolutional networks with shapelet features for time series classification.
Inf. Sci., 2022

A Cost-Effective Framework for Running Industrial Big Data Analysis Applications in Public Clouds.
IEEE Internet Things J., 2022

Heterogeneous graph embedding by aggregating meta-path and meta-structure through attention mechanism.
Neurocomputing, 2022

An online algorithm for optimally releasing multiple on-demand instances in IaaS clouds.
Future Gener. Comput. Syst., 2022

A Lyapunov optimization-based online scheduling algorithm for service provisioning in cloud computing.
Future Gener. Comput. Syst., 2022

Effeclouds: A cost-effective cloud-of-clouds framework for two-tier storage.
Future Gener. Comput. Syst., 2022

Job scheduling for big data analytical applications in clouds: A taxonomy study.
Future Gener. Comput. Syst., 2022

Methods for improving the availability of spot instances: A survey.
Comput. Ind., 2022

Time series classification based on temporal features.
Appl. Soft Comput., 2022

ICKG: An I Ching Knowledge Graph Tool Revealing Ancient Wisdom.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Keep Hot or Go Cold: A Randomized Online Migration Algorithm for Cost Optimization in STaaS Clouds.
IEEE Trans. Netw. Serv. Manag., 2021

Market-oriented online bi-objective service scheduling for pleasingly parallel jobs with variable resources in cloud environments.
J. Syst. Softw., 2021

Online Cost-effective Edge Service Renting for Content Providers in Cloud and Edge Environments.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Paper Recommendation Based on Author-paper Interest and Graph Structure.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Amazon Spot Instance Price Prediction with GRU Network.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

An Online Cost Optimization Algorithm for IaaS Instance Releasing in Cloud Environments.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020
ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation.
Softw. Pract. Exp., 2020

SGDAN - A Spatio-Temporal Graph Dual-Attention Neural Network for Quantified Flight Delay Prediction.
Sensors, 2020

Backup or Not: An Online Cost Optimal Algorithm for Data Analysis Jobs Using Spot Instances.
IEEE Access, 2020

A recommendation algorithm for sparse data via implicit relationship.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

An Ego Network Embedding Model via Neighbors Sampling and Self-attention Mechanism.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

A Big Service with Network Represent Learning for Quantified Flight Delay Prediction.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Bidding Strategy Based on Adaptive Differential Evolution Algorithm for Dynamic Pricing IaaS Instances.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Translating Embedding with Local Connection for Knowledge Graph Completion.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
A just-in-time shapelet selection service for online time series classification.
Comput. Networks, 2019

A fast shapelet selection algorithm for time series classification.
Comput. Networks, 2019

To Transfer or Not: An Online Cost Optimization Algorithm for Using Two-Tier Storage-as-a-Service Clouds.
IEEE Access, 2019

Psychological Gender Express via Mobile Social Network Activities: An Experimental Study on a Gay Network Data.
IEEE Access, 2019

An Online Algorithm for Selling Your Reserved IaaS Instances in Amazon EC2 Marketplace.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

An Online Mechanism for Purchasing IaaS Instances and Scheduling Pleasingly Parallel Jobs in Cloud Computing Environments.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM.
Proceedings of the Database Systems for Advanced Applications, 2019

Selecting Superior Candidates from a Suitable Set: A Selective Extraction Algorithm for Accelerating Shapelet Discovery in Time Series Data.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Higher-Order Network Structure Embedding in Supply Chain Partner Link Prediction.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Infer Latent Privacy for Attribute Network in Knowledge Graph.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Hybrid BiLSTM-Siamese Network for Relation Extraction.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Mechanisms for Optimally Scheduling and Pricing Pleasingly Parallel Jobs in Service Clouds.
IEEE Access, 2018

DRL-Scheduling: An Intelligent QoS-Aware Job Scheduling Framework for Applications in Clouds.
IEEE Access, 2018

A Truthful Mechanism for Scheduling and Pricing Pleasingly Parallel Jobs in a Service Cloud.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Subscription or Pay-as-You-Go: Optimally Purchasing IaaS Instances in Public Clouds.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Performance Analysis of Service Clouds Serving Composite Service Application Jobs.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

A Truthful Mechanism for Optimally Purchasing IaaS Instances and Scheduling Parallel Jobs in Service Clouds.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

QoS Optimization of Service Clouds Serving Pleasingly Parallel Jobs.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

To Sell or Not To Sell: Trading Your Reserved Instances in Amazon EC2 Marketplace.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Network-Constrained Tensor Factorization for Personal Recommendation in an Enterprise Network.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

A Market-Oriented Heuristic Algorithm for Scheduling Parallel Applications in Big Data Service Platform.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Detect Cooperative Hyping Among VIP Users and Spammers in Sina Weibo.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017
A Fast Shapelet Discovery Algorithm Based on Important Data Points.
Int. J. Web Serv. Res., 2017

Crowd wisdom drives intelligent manufacturing.
Int. J. Crowd Sci., 2017

A Shapelet Selection Algorithm for Time Series Classification: New Directions.
Proceedings of the 2017 International Conference on Identification, 2017

Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Dynamic-priority based profit-driven scheduling in mobile cloud computing.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

A collaborative filtering based approach to performance prediction for parallel applications.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

Distributed ACO based on a crowdsourcing model for multiobjective problem.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

A Reinforcement Learning Based Workflow Application Scheduling Approach in Dynamic Cloud Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Investigating Microstructure Patterns of Enterprise Network in Perspective of Ego Network.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

An Experimental Study of the Impact of vCPU Provisioning on the Performance of a 2-Tier Application Running in Cloud.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Device Data Ingestion for Industrial Big Data Platforms with a Case Study.
Sensors, 2016

Building and Analyzing of Enterprise Network: A Case Study on China Automobile Supply Network.
Int. J. Web Serv. Res., 2016

A Bayesian approach to performance modelling for multi-tenant applications using Gaussian models.
Int. J. High Perform. Comput. Netw., 2016

Probabilistic-based workload forecasting and service redeployment for multi-tenant services.
Int. J. High Perform. Comput. Netw., 2016

A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds.
Entropy, 2016

Profit Based Two-Step Job Scheduling in Clouds.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

A Distributed Game-Theoretic Approach for IaaS Service Trading in an Auction-Based Cloud Market.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

An Optimal and Iterative Pricing Model for Multiclass IaaS Cloud Services.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

A cost-optimal service selection approach for collaborative workflow execution in clouds.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

A piecewise linear representation method based on importance data points for time series data.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

Big Datasets for Research: A Survey on Flagship Conferences.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies.
Proceedings of the International Conference on Identification, 2015

2014
Enterprise Relationship Network: Build Foundation for Social Business.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Data Organization Patterns for Cloud Enterprise Applications.
Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

Finding Optimized Deployment Strategy for Multitenant Services by Iterative Staging.
Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

2013
A Two-Stage Win-Win Multiattribute Negotiation Model: Optimization and then Concession.
Comput. Intell., 2013

2008
Grid-Enabled Workflow Management System Based On BPEL.
Int. J. High Perform. Comput. Appl., 2008


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