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. 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.

Selected Journal Papers

1. 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.

2. 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.

3. Runze Gao, Qiwen Li, Li Dai, Yufeng Zhan, and Yuanqing Xia, "Workflow-Based Fast Data-Driven Predictive Control With Disturbance Observer in Cloud-Edge Collaborative Architecture," IEEE Transactions on Automation Science and Engineering, 2023.

4. Yufeng Zhan, Peng Li, Leijie Wu, and Song Guo, "L4L: Experience-Driven Computational Resource Control in Federated Learning," IEEE Transactions on Computers, 2021.

5. 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)

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)