云计算智能融合团队

上海市可扩展计算与系统重点实验室马汝辉老师团队

研究方向

云计算智能融合团队团队隶属于上海市可扩展计算与系统重点实验室，以分布式计算与云计算为主要研究方向，致力于构建智能云计算系统。团队现有副研究员1名，博士研究生7名，硕士研究生16名。

新闻速递

2025年11月01日 论文FedACL:A Collaborative Federated Fine-Tuning Framework for Large Language Models with AWLoRA and Contrastive Learning被期刊IEEE Transactions on Computational Social Systems期刊接收，恭喜子杰！
2025年11月01日 论文HeShare:Energy-Aware and Efficient Multi-Task Scheduling in Heterogeneous GPU-based Computing Systems被期刊IEEE Transactions on Computers(CCF-A)期刊接收，恭喜卓龙！
2025年10月20日 凝心聚力，山水同行：云计算智能融合团队2025安吉百草原团建回顾
2025年06月29日 论文Ephemera:Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System被ACM Transactions on Architecture and Code Optimization(CCF A)期刊接收，恭喜凌啸！
2025年05月17日 论文TST:A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks被会议ACL(CCF-A)会议接收，恭喜沛文！

代表论文

  1. CCF-A
    FasDL: An Efficient Serverless-Based Training Architecture with Communication Optimization and Resource Configuration
    Xinglei Chen, Zinuo Cai, Rajkumar Buyya, and 1 more author
    IEEE Transactions on Computers, 2024
  2. CCF-A
    HWDSQP: A Historical Weighted and Dynamic Scheduling Quantum Protocol to Enhance Communication Reliability
    Liwei Lin, Rongbo Ma, Zejian Wang, and 5 more authors
    IEEE Journal on Selected Areas in Communications, 2025
  3. CCF-A
    MemoriaNova: Optimizing Memory-Aware Model Inference for Edge Computing
    Renjun Zhang, Tianming Zhang, Zinuo Cai, and 2 more authors
    ACM Transactions on Architecture and Code Optimization, 2025
  4. CCF-A
    SMore: Enhancing GPU Utilization in Deep Learning Clusters by Serverless-Based Co-Location Scheduling
    Junhan Liu, Zinuo Cai, Yumou Liu, and 4 more authors
    IEEE Transactions on Parallel and Distributed Systems, 2025
  5. CCF-A
    AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows
    Lingxiao Jin, Zinuo Cai, Zebin Chen, and 2 more authors
    arXiv preprint arXiv:2502.20846, 2025
  6. CCF-A
    Federated recommender system based on diffusion augmentation and guided denoising
    Yicheng Di, Hongjian Shi, Xiaoming Wang, and 2 more authors
    ACM Transactions on Information Systems, 2025
  7. CCF-A
    TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
    Peiwen Jiang, Xinbo Lin, Zibo Zhao, and 3 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  8. CCF-A
    Smss: Stateful model serving in metaverse with serverless computing and gpu sharing
    Zinuo Cai, Zebin Chen, Ruhui Ma, and 1 more author
    IEEE Journal on Selected Areas in Communications, 2023
  9. CCF-A
    OSTTD: Offloading of splittable tasks with topological dependence in multi-tier computing networks
    Rui Zhang, Xuesen Chu, Ruhui Ma, and 4 more authors
    IEEE Journal on Selected Areas in Communications, 2022
  10. CCF-A
    Fedala: Adaptive local aggregation for personalized federated learning
    Jianqing Zhang, Yang Hua, Hao Wang, and 4 more authors
    In Proceedings of the AAAI conference on artificial intelligence, 2023
  11. CCF-A
    Fedcp: Separating feature information for personalized federated learning via conditional policy
    Jianqing Zhang, Yang Hua, Hao Wang, and 4 more authors
    In Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining, 2023
  12. CCF-A
    Automatic pipeline parallelism: A parallel inference framework for deep learning applications in 6g mobile communication systems
    Hongjian Shi, Weichu Zheng, Zifei Liu, and 2 more authors
    IEEE Journal on Selected Areas in Communications, 2023