Yufeng Zhan

According to our database, Yufeng Zhan authored at least 69 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Personalized Client Collaboration in Federated Learning.

Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Yufeng Zhan, Anne-Marie Kermarrec

IEEE Trans. Mob. Comput., December, 2024

SGFM: Conditional Flow Matching for Time Series Anomaly Detection With State Space Models.

Yongping He, Tijin Yan, Yufeng Zhan, Zihang Feng, Yuanqing Xia

IEEE Internet Things J., November, 2024

Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System.

Runze Gao, Yuanqing Xia, Guan Wang, Liwen Yang, Yufeng Zhan

IEEE Trans Autom. Sci. Eng., October, 2024

Deadline-Constrained and Cost-Effective Multi-Workflow Scheduling with Uncertainty in Cloud Control Systems.

Lingjuan Ye, Liwen Yang, Yuanqing Xia, Yufeng Zhan, Xinchao Zhao

J. Syst. Sci. Complex., October, 2024

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning.

Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou

IEEE Trans. Mob. Comput., August, 2024

Workflow-Based Fast Data-Driven Predictive Control With Disturbance Observer in Cloud-Edge Collaborative Architecture.

Runze Gao, Qiwen Li, Li Dai, Yufeng Zhan, Yuanqing Xia

IEEE Trans Autom. Sci. Eng., July, 2024

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting.

Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, Yufeng Zhan

IEEE Trans. Mob. Comput., May, 2024

Classification-Based Diverse Workflows Scheduling in Clouds.

Liwen Yang, Yuanqing Xia, Xiaopu Zhang, Lingjuan Ye, Yufeng Zhan

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.

Yuan Zhang, Yuanqing Xia, Yufeng Zhan

IEEE Trans. Autom. Control., January, 2024

CAG-NSPDE: Continuous adaptive graph neural stochastic partial differential equations for traffic flow forecasting.

Tijin Yan, Hengheng Gong, Yufeng Zhan, Yuanqing Xia

Neurocomputing, 2024

Sonnet: A control-theoretic approach for resource allocation in cluster management.

Ruifeng Ma, Yufeng Zhan, Yuanqing Xia, Chuge Wu, Liwen Yang, Runze Gao

Future Gener. Comput. Syst., 2024

Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing.

Haosong Peng, Yufeng Zhan, Dihua Zhai, Xiaopu Zhang, Yuanqing Xia

CoRR, 2024

Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics.

Haosong Peng, Wei Feng, Hao Li, Yufeng Zhan, Qihua Zhou, Yuanqing Xia

CoRR, 2024

Distributed simultaneous state-input estimation over sensor networks under quantized communication.

Dongdong Yu, Yuanqing Xia, Di-Hua Zhai, Yufeng Zhan

Autom., 2024

Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization.

Tianyu Qi, Yufeng Zhan, Peng Li, Yuanqing Xia

Proceedings of the IEEE INFOCOM 2024, 2024

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model.

Tijin Yan, Hengheng Gong, Yongping He, Yufeng Zhan, Yuanqing Xia

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tangram: High-Resolution Video Analytics on Serverless Platform with SLO-Aware Batching.

Haosong Peng, Yufeng Zhan, Peng Li, Yuanqing Xia

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

Workflow-Based Fast Model Predictive Cloud Control Method for Vehicle Kinematics Trajectory Tracking Problem.

Tong Zhou, Runze Gao, Zhongqi Sun, Yufeng Zhan, Li Dai, Yuanqing Xia

IEEE Trans. Veh. Technol., December, 2023

KubeAdaptor: A docking framework for workflow containerization on Kubernetes.

Chenggang Shan, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang

Future Gener. Comput. Syst., November, 2023

Dynamic Scheduling Stochastic Multiworkflows With Deadline Constraints in Clouds.

Lingjuan Ye, Yuanqing Xia, Liwen Yang, Yufeng Zhan

IEEE Trans Autom. Sci. Eng., October, 2023

On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods.

Yuan Zhang, Yuanqing Xia, Yufeng Zhan

Syst. Control. Lett., August, 2023

Reliability-Aware and Energy-Efficient Workflow Scheduling in IaaS Clouds.

Lingjuan Ye, Yuanqing Xia, Siyuan Tao, Ce Yan, Runze Gao, Yufeng Zhan

IEEE Trans Autom. Sci. Eng., July, 2023

A cost and makespan aware scheduling algorithm for dynamic multi-workflow in cloud environment.

Yuanqing Xia, Yufeng Zhan, Li Dai, Yuehong Chen

J. Supercomput., 2023

A Fully Hybrid Algorithm for Deadline Constrained Workflow Scheduling in Clouds.

Liwen Yang, Yuanqing Xia, Lingjuan Ye, Runze Gao, Yufeng Zhan

IEEE Trans. Cloud Comput., 2023

Look-ahead workflow scheduling with width changing trend in clouds.

Liwen Yang, Lingjuan Ye, Yuanqing Xia, Yufeng Zhan

Future Gener. Comput. Syst., 2023

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report.

Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia

CoRR, 2023

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition.

Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo

CoRR, 2023

Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning.

Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

DaFKD: Domain-aware Federated Knowledge Distillation.

Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Survey of Incentive Mechanism Design for Federated Learning.

Yufeng Zhan, Jie Zhang, Zicong Hong, Leijie Wu, Peng Li, Song Guo

IEEE Trans. Emerg. Top. Comput., 2022

A Brief Survey on Recent Advances in Cloud Control Systems.

Yuanqing Xia, Yuan Zhang, Li Dai, Yufeng Zhan, Zehua Guo

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Adaptive Federated Learning on Non-IID Data With Resource Constraint.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar

IEEE Trans. Computers, 2022

L4L: Experience-Driven Computational Resource Control in Federated Learning.

Yufeng Zhan, Peng Li, Leijie Wu, Song Guo

IEEE Trans. Computers, 2022

TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models.

Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia

Knowl. Based Syst., 2022

A survey on deploying mobile deep learning applications: A systemic and technical perspective.

Yingchun Wang, Jingyi Wang, Weizhan Zhang, Yufeng Zhan, Song Guo, Qinghua Zheng, Xuanyu Wang

Digit. Commun. Networks, 2022

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.

Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo

ACM Comput. Surv., 2022

Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms.

Yuan Zhang, Yuanqing Xia, Yufeng Zhan, Zhongqi Sun

CoRR, 2022

KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes.

Chenggang Shan, Guan Wang, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang

CoRR, 2022

A Coalition Formation Game Approach for Personalized Federated Learning.

Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang

CoRR, 2022

RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack.

Yongkang Wang, Dihua Zhai, Yufeng Zhan, Yuanqing Xia

CoRR, 2022

On distributed fusion estimation with stochastic scheduling over sensor networks.

Dongdong Yu, Yuanqing Xia, Di-Hua Zhai, Yufeng Zhan

Autom., 2022

Lore: a learning-based approach for workflow scheduling in clouds.

Haosong Peng, Chuge Wu, Yufeng Zhan, Yuanqing Xia

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism.

Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, Wenchao Xu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing.

Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yufeng Zhan, Wuhui Chen

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.

Yuan Zhang, Yuanqing Xia, Yufeng Zhan

Proceedings of the American Control Conference, 2022

2021

Incentive Mechanism Design for Federated Learning: Challenges and Opportunities.

Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu

IEEE Netw., 2021

ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models.

Tijin Yan, Hongwei Zhang, Tong Zhou, Yufeng Zhan, Yuanqing Xia

CoRR, 2021

Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism.

Yi Liu, Leijie Wu, Yufeng Zhan, Song Guo, Zicong Hong

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Containerized Workflow Builder for Kubernetes.

Chenggang Shan, Guan Wang, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang

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.

Yufeng Zhan, Chi Harold Liu, Yinuo Zhao, Jiang Zhang, Jian Tang

IEEE Trans. Mob. Comput., 2020

A Deep Reinforcement Learning Based Offloading Game in Edge Computing.

Yufeng Zhan, Song Guo, Peng Li, Jiang Zhang

IEEE Trans. Computers, 2020

Big Data Analytics by CrowdLearning: Architecture and Mechanism Design.

Yufeng Zhan, Peng Li, Kun Wang, Song Guo, Yuanqing Xia

IEEE Netw., 2020

An incentive mechanism design for mobile crowdsensing with demand uncertainties.

Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang

Inf. Sci., 2020

A Learning-Based Incentive Mechanism for Federated Learning.

Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, Song Guo

IEEE Internet Things J., 2020

Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning.

Yufeng Zhan, Peng Li, Song Guo

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.

Yufeng Zhan, Jiang Zhang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System.

Jianting Zhang, Zicong Hong, Xiaoyu Qiu, Yufeng Zhan, Song Guo, Wuhui Chen

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.

Yufeng Zhan, Jiang Zhang, Peng Li, Yuanqing Xia

IEEE Netw., 2019

Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach.

Chi Harold Liu, Zheyu Chen, Yufeng Zhan

IEEE J. Sel. Areas Commun., 2019

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach.

Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang

CoRR, 2019

Future directions of networked control systems: A combination of cloud control and fog control approach.

Yufeng Zhan, Yuanqing Xia, Athanasios V. Vasilakos

Comput. Networks, 2019

2018

Incentive Mechanism Design in Mobile Opportunistic Data Collection With Time Sensitivity.

Yufeng Zhan, Yuanqing Xia, Jinhui Zhang, Yu Wang

IEEE Internet Things J., 2018

Incentive mechanism in platform-centric mobile crowdsensing: A one-to-many bargaining approach.

Yufeng Zhan, Yuanqing Xia, Jinhui Zhang

Comput. Networks, 2018

Quality-aware incentive mechanism based on payoff maximization for mobile crowdsensing.

Yufeng Zhan, Yuanqing Xia, Jinhui Zhang

Ad Hoc Networks, 2018

2017

Incentive-Aware Time-Sensitive Data Collection in Mobile Opportunistic Crowdsensing.

Yufeng Zhan, Yuanqing Xia, Yang Liu, Fan Li, Yu Wang

IEEE Trans. Veh. Technol., 2017

Incentive mechanism for computation offloading using edge computing: A Stackelberg game approach.

Yang Liu, Changqiao Xu, Yufeng Zhan, Zhixin Liu, Jianfeng Guan, Hongke Zhang

Comput. Networks, 2017

2016

TDMA-Based IEEE 802.15.4 for Low-Latency Deterministic Control Applications.

Mashood Anwar, Yuanqing Xia, Yufeng Zhan

IEEE Trans. Ind. Informatics, 2016

GTS size adaptation algorithm for IEEE 802.15.4 wireless networks.

Yufeng Zhan, Yuanqing Xia, Mashood Anwar

Ad Hoc Networks, 2016

Incentive Mechanism for Crowdsourced Mobile Video Offloading.

Yufeng Zhan, Yang Liu, Yuanqing Xia, Liping Yan, Fan Li, Ning Zhou, Hongyi Wu

Proceedings of the 12th International Conference on Mobile Ad-Hoc and Sensor Networks, 2016