Incentive Mechanism for Crowdsourced Mobile Video Offloading. - Yufeng Zhan; Yang Liu 038; Yuanqing Xia; Liping Yan; Fan Li 001; Ning Zhou; Hongyi Wu (MSN, 2016)

GTS size adaptation algorithm for IEEE 802.15.4 wireless networks. - Yufeng Zhan; Yuanqing Xia; Mashood Anwar (Ad Hoc Networks, 2016)

TDMA-Based IEEE 802.15.4 for Low-Latency Deterministic Control Applications. - Mashood Anwar; Yuanqing Xia; Yufeng Zhan (IEEE Trans. Ind. Informatics, 2016)

Incentive mechanism for computation offloading using edge computing: A Stackelberg game approach. - Yang Liu 038; Changqiao Xu; Yufeng Zhan; Zhixin Liu 001; Jianfeng Guan; Hongke Zhang (Comput. Networks, 2017)

Incentive-Aware Time-Sensitive Data Collection in Mobile Opportunistic Crowdsensing. - Yufeng Zhan; Yuanqing Xia; Yang Liu 038; Fan Li 001; Yu Wang 003 (IEEE Trans. Veh. Technol., 2017)

Quality-aware incentive mechanism based on payoff maximization for mobile crowdsensing. - Yufeng Zhan; Yuanqing Xia; Jinhui Zhang (Ad Hoc Networks, 2018)

Incentive mechanism in platform-centric mobile crowdsensing: A one-to-many bargaining approach. - Yufeng Zhan; Yuanqing Xia; Jinhui Zhang (Comput. Networks, 2018)

Incentive Mechanism Design in Mobile Opportunistic Data Collection With Time Sensitivity. - Yufeng Zhan; Yuanqing Xia; Jinhui Zhang; Yu Wang 003 (IEEE Internet Things J., 2018)

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)

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach. - Yufeng Zhan; Yuanqing Xia; Jiang Zhang 003; Ting Li 010; Yu Wang 003 (CoRR, 2019)

Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach. - Chi Harold Liu; Zheyu Chen 001; Yufeng Zhan (IEEE J. Sel. Areas Commun., 2019)

Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things. - Yufeng Zhan; Jiang Zhang 003; Peng Li 017; Yuanqing Xia (IEEE Netw., 2019)

SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System. - Jianting Zhang; Zicong Hong; Xiaoyu Qiu; Yufeng Zhan; Song Guo 001; Wuhui Chen (ICPP, 2020)

An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach. - Yufeng Zhan; Jiang Zhang (INFOCOM, 2020)

Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning. - Yufeng Zhan; Peng Li 017; Song Guo 001 (IPDPS, 2020)

A Learning-Based Incentive Mechanism for Federated Learning. - Yufeng Zhan; Peng Li 017; Zhihao Qu; Deze Zeng; Song Guo 001 (IEEE Internet Things J., 2020)

An incentive mechanism design for mobile crowdsensing with demand uncertainties. - Yufeng Zhan; Yuanqing Xia; Jiang Zhang 003; Ting Li 010; Yu Wang 003 (Inf. Sci., 2020)

Big Data Analytics by CrowdLearning: Architecture and Mechanism Design. - Yufeng Zhan; Peng Li 017; Kun Wang 005; Song Guo 001; Yuanqing Xia (IEEE Netw., 2020)

A Deep Reinforcement Learning Based Offloading Game in Edge Computing. - Yufeng Zhan; Song Guo 001; Peng Li 017; Jiang Zhang 003 (IEEE Trans. Computers, 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 003; Jian Tang 008 (IEEE Trans. Mob. Comput., 2020)

Containerized Workflow Builder for Kubernetes. - Chenggang Shan; Guan Wang; Yuanqing Xia; Yufeng Zhan; Jinhui Zhang (HPCC/DSS/SmartCity/DependSys, 2021)

Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism. - Yi Liu 057; Leijie Wu; Yufeng Zhan; Song Guo 001; Zicong Hong (ICDCS, 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 Mechanism Design for Federated Learning: Challenges and Opportunities. - Yufeng Zhan; Peng Li 017; Song Guo 001; Zhihao Qu (IEEE Netw., 2021)

A Linear Programming Approach to the Minimum Cost Sparsest Input Selection for Structured Systems. - Yuan Zhang 016; Yuanqing Xia; Yufeng Zhan (ACC, 2022)

Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing. - Zicong Hong; Song Guo 001; Rui Zhang 080; Peng Li 017; Yufeng Zhan; Wuhui Chen (DSN, 2022)

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism. - Leijie Wu; Song Guo 001; Yi Liu 057; Zicong Hong; Yufeng Zhan; Wenchao Xu 001 (ICDCS, 2022)

Lore: a learning-based approach for workflow scheduling in clouds. - Haosong Peng; Chuge Wu; Yufeng Zhan; Yuanqing Xia (RACS, 2022)

On distributed fusion estimation with stochastic scheduling over sensor networks. - Dongdong Yu; Yuanqing Xia; Di-Hua Zhai; Yufeng Zhan (Autom., 2022)

RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack. - Yongkang Wang; Dihua Zhai; Yufeng Zhan; Yuanqing Xia (CoRR, 2022)

A Coalition Formation Game Approach for Personalized Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Yufeng Zhan; Jie Zhang 076 (CoRR, 2022)

KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes. - Chenggang Shan; Guan Wang; Yuanqing Xia; Yufeng Zhan; Jinhui Zhang (CoRR, 2022)

Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms. - Yuan Zhang 016; Yuanqing Xia; Yufeng Zhan; Zhongqi Sun (CoRR, 2022)

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. - Jie Zhang 076; Zhihao Qu; Chenxi Chen; Haozhao Wang; Yufeng Zhan; Baoliu Ye; Song Guo 001 (ACM Comput. Surv., 2022)

A survey on deploying mobile deep learning applications: A systemic and technical perspective. - Yingchun Wang; Jingyi Wang; Weizhan Zhang; Yufeng Zhan; Song Guo 001; Qinghua Zheng; Xuanyu Wang (Digit. Commun. Networks, 2022)

TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models. - Tijin Yan; Tong Zhou; Yufeng Zhan; Yuanqing Xia (Knowl. Based Syst., 2022)

L4L: Experience-Driven Computational Resource Control in Federated Learning. - Yufeng Zhan; Peng Li 017; Leijie Wu; Song Guo 001 (IEEE Trans. Computers, 2022)

Adaptive Federated Learning on Non-IID Data With Resource Constraint. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Yufeng Zhan; Qifeng Liu; Rajendra Akerkar (IEEE Trans. Computers, 2022)

A Brief Survey on Recent Advances in Cloud Control Systems. - Yuanqing Xia; Yuan Zhang 016; Li Dai 001; Yufeng Zhan; Zehua Guo 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Survey of Incentive Mechanism Design for Federated Learning. - Yufeng Zhan; Jie Zhang 076; Zicong Hong; Leijie Wu; Peng Li 017; Song Guo 001 (IEEE Trans. Emerg. Top. Comput., 2022)

DaFKD: Domain-aware Federated Knowledge Distillation. - Haozhao Wang; Yichen Li 006; Wenchao Xu 001; Ruixuan Li 001; Yufeng Zhan; Zhigang Zeng (CVPR, 2023)

Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. - Tianyu Qi; Yufeng Zhan; Peng Li 017; Jingcai Guo; Yuanqing Xia (ICDCS, 2023)

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. - Jingcai Guo; Yuanyuan Xu 004; Wenchao Xu 001; Yufeng Zhan; Yuxia Sun; Song Guo 001 (CoRR, 2023)

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report. - Tianyu Qi; Yufeng Zhan; Peng Li 017; Jingcai Guo; Yuanqing Xia (CoRR, 2023)

Look-ahead workflow scheduling with width changing trend in clouds. - Liwen Yang; Lingjuan Ye; Yuanqing Xia; Yufeng Zhan (Future Gener. Comput. Syst., 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)

A cost and makespan aware scheduling algorithm for dynamic multi-workflow in cloud environment. - Yuanqing Xia; Yufeng Zhan; Li Dai 001; Yuehong Chen (J. Supercomput., 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., 2023)

On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods. - Yuan Zhang 016; Yuanqing Xia; Yufeng Zhan (Syst. Control. Lett., 2023)

Dynamic Scheduling Stochastic Multiworkflows With Deadline Constraints in Clouds. - Lingjuan Ye; Yuanqing Xia; Liwen Yang; Yufeng Zhan (IEEE Trans Autom. Sci. Eng., 2023)

KubeAdaptor: A docking framework for workflow containerization on Kubernetes. - Chenggang Shan; Yuanqing Xia; Yufeng Zhan; Jinhui Zhang (Future Gener. Comput. Syst., 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 001; Yuanqing Xia (IEEE Trans. Veh. Technol., 2023)

Tangram: High-Resolution Video Analytics on Serverless Platform with SLO-Aware Batching. - Haosong Peng; Yufeng Zhan; Peng Li 017; Yuanqing Xia (ICDCS, 2024)

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model. - Tijin Yan; Hengheng Gong; Yongping He; Yufeng Zhan; Yuanqing Xia (ICML, 2024)

Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization. - Tianyu Qi; Yufeng Zhan; Peng Li 017; Yuanqing Xia (INFOCOM, 2024)

Distributed simultaneous state-input estimation over sensor networks under quantized communication. - Dongdong Yu; Yuanqing Xia; Di-Hua Zhai; Yufeng Zhan (Autom., 2024)

Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics. - Haosong Peng; Wei Feng; Hao Li 075; Yufeng Zhan; Qihua Zhou; Yuanqing Xia (CoRR, 2024)

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes. - Hao Li; Yuanyuan Gao; Haosong Peng; Chenming Wu; Weicai Ye; Yufeng Zhan; Chen Zhao 011; Dingwen Zhang; Jingdong Wang 001; Junwei Han (CoRR, 2024)

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework. - Haosong Peng; Tianyu Qi; Yufeng Zhan; Hao Li 075; Yalun Dai; Yuanqing Xia (CoRR, 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)

CAG-NSPDE: Continuous adaptive graph neural stochastic partial differential equations for traffic flow forecasting. - Tijin Yan; Hengheng Gong; Yufeng Zhan; Yuanqing Xia (Neurocomputing, 2024)

Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing. - Haosong Peng; Yufeng Zhan; Di-Hua Zhai; Xiaopu Zhang; Yuanqing Xia (IEEE Trans. Serv. Comput., 2024)

Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: An LP-Based Method. - Yuan Zhang 016; Yuanqing Xia; Yufeng Zhan (IEEE Trans. Autom. Control., 2024)

Classification-Based Diverse Workflows Scheduling in Clouds. - Liwen Yang; Yuanqing Xia; Xiaopu Zhang; Lingjuan Ye; Yufeng Zhan (IEEE Trans Autom. Sci. Eng., 2024)

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting. - Leijie Wu; Song Guo 001; Zicong Hong; Yi Liu 057; Wenchao Xu 001; Yufeng Zhan (IEEE Trans. Mob. Comput., 2024)

Workflow-Based Fast Data-Driven Predictive Control With Disturbance Observer in Cloud-Edge Collaborative Architecture. - Runze Gao; Qiwen Li; Li Dai 001; Yufeng Zhan; Yuanqing Xia (IEEE Trans Autom. Sci. Eng., 2024)

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. - Yi Liu 057; Song Guo 001; Yufeng Zhan; Leijie Wu; Zicong Hong; Qihua Zhou (IEEE Trans. Mob. Comput., 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., 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., 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., 2024)

Zero-Norm Distance to Controllability of Linear Dynamic Networks. - Yuan Zhang 016; Yuanqing Xia; Yufeng Zhan; Zhongqi Sun (IEEE Trans. Cybern., 2024)

Rethinking Personalized Client Collaboration in Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Yufeng Zhan; Anne-Marie Kermarrec (IEEE Trans. Mob. Comput., 2024)

Meta-CAD: Few-shot anomaly detection for online social networks with meta-learning. - Yongping He; Zihang Feng; Tijin Yan; Yufeng Zhan; Yuanqing Xia (Comput. Networks, 2025)

A Kubernetes-based scheme for efficient resource allocation in containerized workflow. - Danyang Liu; Yuanqing Xia; Chenggang Shan; Ke Tian; Yufeng Zhan (Future Gener. Comput. Syst., 2025)

Qora: Neural-Enhanced Interference-Aware Resource Provisioning for Serverless Computing. - Ruifeng Ma; Yufeng Zhan; Chuge Wu; Zicong Hong; Yasir Ali; Yuanqing Xia (IEEE Trans Autom. Sci. Eng., 2025)

Collaborative Neural Architecture Search for Personalized Federated Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Zicong Hong; Yufeng Zhan; Qihua Zhou (IEEE Trans. Computers, 2025)

Multimodal Dual-Embedding Networks for Malware Open-Set Recognition. - Jingcai Guo; Han Wang; Yuanyuan Xu 004; Wenchao Xu 001; Yufeng Zhan; Yuxia Sun; Song Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sylva: Tailoring Personalized Adversarial Defense in Pre-trained Models via Collaborative Fine-tuning. - Tianyu Qi; Lei Xue; Yufeng Zhan; Xiaobo Ma (CoRR, 2025)

Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Yufeng Zhan; Qihua Zhou; Yingchun Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection. - Sheng Yu 009; Di-Hua Zhai; Yufeng Zhan; Wencai Wang; Yuyin Guan; Yuanqing Xia (IEEE Trans. Neural Networks Learn. Syst., 2025)