Zengxiang Li
Orcid: 0000-0002-1462-9905
According to our database1,
Zengxiang Li
authored at least 84 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Big Data, December, 2024
WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection.
IEEE Trans. Big Data, December, 2024
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Instrum. Meas., 2024
Rethinking self-supervised learning for time series forecasting: A temporal perspective.
Knowl. Based Syst., 2024
CoRR, 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT.
CoRR, 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations.
CoRR, 2024
CoRR, 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.
CoRR, 2024
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting.
Proceedings of the Database Systems for Advanced Applications, 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Ind. Informatics, August, 2023
Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices".
IEEE Internet Things J., 2023
CoRR, 2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.
CoRR, 2023
SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
J. Intell. Transp. Syst., 2022
ACM Comput. Surv., 2022
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery.
CoRR, 2022
CoRR, 2022
Array, 2022
Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
2021
IEEE Internet Things J., 2021
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance.
IEEE Trans. Comput. Soc. Syst., 2020
Finite Fields Their Appl., 2020
CoRR, 2020
FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs.
IEEE Access, 2020
Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency.
Proceedings of the 19th IEEE International Conference on Trust, 2020
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
Predicting Emission Costs for Urban Transportation in Smart Cities using Machine Learning Models.
Proceedings of the BDIOT 2020: The 4th International Conference on Big Data and Internet of Things, 2020
2019
ACM Trans. Model. Comput. Simul., 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data.
Proceedings of the IEEE International Smart Cities Conference, 2018
Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2018
2017
Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution.
Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2017
Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
2016
Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations.
Simul. Model. Pract. Theory, 2016
Proc. VLDB Endow., 2016
Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud.
Proceedings of the International Conference on Cloud Computing Research and Innovations, 2016
Proceedings of the 20th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2016
2015
Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations.
ACM Trans. Model. Comput. Simul., 2015
Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015
2014
Un-identical federate replication structure for improving performance of HLA-based simulations.
Simul. Model. Pract. Theory, 2014
Hierarchical resource management for enhancing performance of large-scale simulations on data centers.
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2014
Two-Level Storage QoS to Manage Performance for Multiple Tenants with Multiple Workloads.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
Compensatory dead-reckoning-based update scheduling for distributed virtual environments.
Simul., 2013
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2013
2012
J. Simulation, 2012
Fair and Efficient Dead Reckoning-Based Update Dissemination for Distributed Virtual Environments.
Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012
2011
ACM Trans. Model. Comput. Simul., 2011
Dead Reckoning-Based Update Scheduling against Message Loss for Improving Consistency in DVEs.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011
2010
A replication structure for efficient and fault-tolerant parallel and distributed simulations.
Proceedings of the 2010 Spring Simulation Multiconference, 2010
Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2010
Proceedings of the DS-RT '10 Proceedings of the 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications, 2010
2009
A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information.
Simul., 2009
Implementation of Data Distribution Management Services in a Service Oriented HLA RTI.
Proceedings of the 2009 Winter Simulation Conference, 2009
Proceedings of the 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2009
2008
Improving performance by replicating simulations with alternative synchronization approaches.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
An Efficient Sort-Based DDM Matching Algorithm for HLA Applications with a Large Spatial Environment.
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation, 2007
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007
Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications, 2007