Yufeng Zhan
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Selected Publications

Selected Conference Papers

  1. Tijin Yan, Hengheng Gong, Yongping He, Yufeng Zhan, and Yuanqing Xia, "Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model," International Conference on Machine Learning, 2024.

  2. Haosong Peng, Yufeng Zhan, Peng Li, and Yuanqing Xia, "Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching," IEEE International Conference on Distributed Computing Systems, 2024.

  3. Tianyu Qi, Yufeng Zhan, Peng Li, and Yuanqing Xia, "Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization," IEEE International Conference on Computer Communications, 2024.

  4. Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, and Yuanqing Xia, "Hwamei: A Learning-based Aggregation Framework for Hierarchical Federated Learning System," IEEE International Conference on Distributed Computing Systems, 2023.

  5. Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, and Zhigang Zeng, "DaFKD: Domain-aware Federated Knowledge Distillation," IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.

  6. Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yufeng Zhan, and Wuhui Chen, "CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing," IEEE/IFIP International Conference on Dependable Systems and Networks, 2022.

  7. Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, and Wenchao Xu, "Sustainable Federated Learning with Long-term Online VCG Auction Mechanism," IEEE International Conference on Distributed Computing Systems, 2022.

  8. Yi Liu, Leijie Wu, Yufeng Zhan, Song Guo, and Zicong Hong, "Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Learning," IEEE International Conference on Distributed Computing Systems, 2021.

  9. Jianting Zhang, Zicong Hong, Xiaoyu Qiu, Yufeng Zhan, Song Guo, and Wuhui Chen, "SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System," ACM International Conference on Parallel Processing, 2020. (Best Paper Award Running Up)

  10. Yufeng Zhan and Jiang Zhang, "An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach," IEEE International Conference on Computer Communications, 2020.

  11. Yufeng Zhan, Peng Li, and Song Guo, "Experience-driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning," IEEE International Parallel & Distributed Processing Symposium, 2020.

Selected Journal Papers

  1. Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, and Qihua Zhou, "Collaborative Neural Architecture Search for Personalized Federated Learning," IEEE Transactions on Computers, 2025.

  2. Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Yufeng Zhan, and A.-M. Kermarrec, "Rethinking Personalized Client Collaboration in Federated Learning," IEEE Transactions on Mobile Computing, 2025.

  3. Haosong Peng, Yufeng Zhan, Di-Hua Zhai, Xiaopu Zhang, and Yuanqing Xia "Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing," IEEE Transactions on Service Computing, 2024.

  4. Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, and Qihua Zhou, "Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning," IEEE Transactions on Mobile Computing, 2024.

  5. Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, and Yufeng Zhan, "Rethinking Personalized Client Collaboration in Federated Learning," IEEE Transactions on Mobile Computing, 2024.

  6. Yuan Zhang, Yuanqing Xia, and Yufeng Zhan, "Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: An LP-based Method," IEEE Transactions on Automatic Control, 2024.

  7. Dongdong Yu, Yuanqing Xia, Di-Hua Zhai, and Yufeng Zhan, "Distributed Simultaneous State-input Estimation over Sensor Networks under Quantized Communication," Automatica, 2024.

  8. Dongdong Yu, Yuanqing Xia, Di-Hua Zhai, and Yufeng Zhan, "On Distributed Fusion Estimation with Stochastic Scheduling over Sensor Networks," Automatica, 2022.

  9. Yufeng Zhan, Peng Li, Leijie Wu, and Song Guo, "L4L: Experience-Driven Computational Resource Control in Federated Learning," IEEE Transactions on Computers, 2022.

  10. Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Q Liu, and R Akerkar, "Adaptive Federated Learning on Non-IID Data with Resource Constraint," IEEE Transactions on Computers, 2022.

  11. Yufeng Zhan, Song Guo, Peng Li, and Jiang Zhang, "A Deep Reinforcement Learning Based Offloading Game in Edge Computing," IEEE Transactions on Computers, 2020. (Best Paper Award)

  12. Yufeng Zhan, Chi Harold Liu,Yinuo Zhao, Jiang Zhang, and Jian Tang, "Free Market of Multi-leader Multi-follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning," IEEE Transactions on Mobile Computing, 2020.

  13. Chi Harold Liu, Zheyu Chen, and Yufeng Zhan, "Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach," IEEE Journal on Selected Areas in Communications, 2019.

Book Chapter

  1. 夏元清,詹玉峰,孙立峰,刘驰,李云,翁健,李哲涛,赖李媛君. "大规模云数据中心智能管理技术及应用," 科学出版社, 2024. (国家科学技术学术著作出版基金资助著作)