Yufeng Zhan
Orcid: 0000-0002-4528-1489
According to our database1,
Yufeng Zhan
authored at least 57 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting.
IEEE Trans. Mob. Comput., May, 2024
IEEE Trans Autom. Sci. Eng., January, 2024
Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: An LP-Based Method.
IEEE Trans. Autom. Control., January, 2024
2023
Workflow-Based Fast Model Predictive Cloud Control Method for Vehicle Kinematics Trajectory Tracking Problem.
IEEE Trans. Veh. Technol., December, 2023
Future Gener. Comput. Syst., November, 2023
IEEE Trans Autom. Sci. Eng., October, 2023
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods.
Syst. Control. Lett., August, 2023
IEEE Trans Autom. Sci. Eng., July, 2023
A cost and makespan aware scheduling algorithm for dynamic multi-workflow in cloud environment.
J. Supercomput., 2023
IEEE Trans. Cloud Comput., 2023
Future Gener. Comput. Syst., 2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report.
CoRR, 2023
CoRR, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Emerg. Top. Comput., 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Trans. Computers, 2022
IEEE Trans. Computers, 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models.
Knowl. Based Syst., 2022
A survey on deploying mobile deep learning applications: A systemic and technical perspective.
Digit. Commun. Networks, 2022
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.
ACM Comput. Surv., 2022
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture.
CoRR, 2022
Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms.
CoRR, 2022
CoRR, 2022
Autom., 2022
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022
A Linear Programming Approach to the Minimum Cost Sparsest Input Selection for Structured Systems.
Proceedings of the American Control Conference, 2022
2021
IEEE Netw., 2021
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System.
CoRR, 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models.
CoRR, 2021
Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2020
IEEE Trans. Computers, 2020
IEEE Netw., 2020
Inf. Sci., 2020
IEEE Internet Things J., 2020
Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
2019
Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things.
IEEE Netw., 2019
IEEE J. Sel. Areas Commun., 2019
CoRR, 2019
Future directions of networked control systems: A combination of cloud control and fog control approach.
Comput. Networks, 2019
2018
Incentive Mechanism Design in Mobile Opportunistic Data Collection With Time Sensitivity.
IEEE Internet Things J., 2018
Incentive mechanism in platform-centric mobile crowdsensing: A one-to-many bargaining approach.
Comput. Networks, 2018
Quality-aware incentive mechanism based on payoff maximization for mobile crowdsensing.
Ad Hoc Networks, 2018
2017
IEEE Trans. Veh. Technol., 2017
Incentive mechanism for computation offloading using edge computing: A Stackelberg game approach.
Comput. Networks, 2017
2016
IEEE Trans. Ind. Informatics, 2016
Ad Hoc Networks, 2016
Proceedings of the 12th International Conference on Mobile Ad-Hoc and Sensor Networks, 2016