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
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning.
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

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples.
IEEE Trans. Instrum. Meas., 2024

Rethinking self-supervised learning for time series forecasting: A temporal perspective.
Knowl. Based Syst., 2024

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.
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

Advances and Open Challenges in Federated Learning with Foundation Models.
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
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications.
IEEE Trans. Ind. Informatics, August, 2023

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices".
IEEE Internet Things J., 2023

CFSL: A Credible Federated Self-Learning Framework.
IEEE Internet Things J., 2023

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models.
CoRR, 2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.
CoRR, 2023

Hierarchical Federated Learning Incentivization for Gas Usage Estimation.
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
Reinforcement learning-enabled genetic algorithm for school bus scheduling.
J. Intell. Transp. Syst., 2022

A Survey of Smart Contract Formal Specification and Verification.
ACM Comput. Surv., 2022

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery.
CoRR, 2022

LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data.
CoRR, 2022

CE-Fed: Communication efficient multi-party computation enabled federated learning.
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

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices.
IEEE Internet Things J., 2021

Partially Encrypted Multi-Party Computation for Federated Learning.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Phase Transition in Taxi Dynamics and Impact of Ridesharing.
Transp. Sci., 2020

Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance.
IEEE Trans. Comput. Soc. Syst., 2020

Some new forms of permutation polynomials based on the AGW criterion.
Finite Fields Their Appl., 2020

Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework.
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

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning.
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
Efficient Parallel Simulation over Large-scale Social Contact Networks.
ACM Trans. Model. Comput. Simul., 2019

Efficient Multi-party Computation Algorithm Design for Real-World Applications.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network.
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

Building an Ethereum-Based Decentralized Smart Home System.
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

Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs.
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

HubPPR: Effective Indexing for Approximate Personalized PageRank.
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

RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations.
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

A User Interface for Large-Scale Demographic Simulation.
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

OMTiR: Open Market for Trading Idle Cloud Resources.
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

Accelerating optimistic HLA-based simulations in virtual execution environments.
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2013

2012
Efficient and fault tolerant HLA-based simulation
PhD thesis, 2012

Loss-aware DR-based update scheduling for improving consistency in DVEs.
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
A dynamic sort-based DDM matching algorithm for HLA applications.
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

Federate Fault Tolerance in HLA-Based Simulation.
Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2010

A Three-Phases Byzantine Fault Tolerance Mechanism for HLA-Based Simulation.
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

Multi-user Gaming on the Grid Using a Service Oriented HLA RTI.
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

A Service Oriented HLA RTI on the Grid.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

Federate Migration in a Service Oriented HLA RTI.
Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications, 2007


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