| 2025 | CCS | Sylva: Tailoring Personalized Adversarial Defense in Pre-trained Models via Collaborative Fine-tuning. | Tianyu Qi, Lei Xue, Yufeng Zhan, Xiaobo Ma |
| 2025 | ICRA | DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes. | Hao Li, Yuanyuan Gao, Haosong Peng, Chenming Wu, Weicai Ye, Yufeng Zhan, Chen Zhao, Dingwen Zhang, Jingdong Wang, Junwei Han |
| 2024 | ICDCS | Tangram: High-Resolution Video Analytics on Serverless Platform with SLO-Aware Batching. | Haosong Peng, Yufeng Zhan, Peng Li, Yuanqing Xia |
| 2024 | ICML | Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model. | Tijin Yan, Hengheng Gong, Yongping He, Yufeng Zhan, Yuanqing Xia |
| 2024 | INFOCOM | Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization. | Tianyu Qi, Yufeng Zhan, Peng Li, Yuanqing Xia |
| 2023 | CVPR | DaFKD: Domain-aware Federated Knowledge Distillation. | Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng |
| 2023 | ICDCS | Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. | Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia |
| 2022 | DSN | Cycle: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing. | Zicong Hong, Song Guo, Rui Zhang, Peng Li, Yufeng Zhan, Wuhui Chen |
| 2022 | ICDCS | Sustainable Federated Learning with Long-term Online VCG Auction Mechanism. | Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, Wenchao Xu |
| 2021 | HPCC | Containerized Workflow Builder for Kubernetes. | Chenggang Shan, Guan Wang, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang |
| 2021 | ICDCS | Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism. | Yi Liu, Leijie Wu, Yufeng Zhan, Song Guo, Zicong Hong |
| 2020 | ICPP | SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System. | Jianting Zhang, Zicong Hong, Xiaoyu Qiu, Yufeng Zhan, Song Guo, Wuhui Chen |
| 2020 | INFOCOM | An Incentive Mechanism Design for Efficient Edge Learning by Deep Reinforcement Learning Approach. | Yufeng Zhan, Jiang Zhang |