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

iCLOUD团队隶属与上海市可扩展计算与系统重点实验室，围绕分布式计算与无服务器计算为主要研究方向，致力于构建智能云计算系统。

新闻速递

2025年03月01日 论文SMORE:Enhancing GPU Utilization in Deep Learning Clusters by Serverless-based Co-location Scheduling被Transactions on Parallel and Distributed Systems(CCF A)期刊接收，恭喜俊涵！
2025年02月28日 论文AARC:Automated Affinity-aware Resource Configuration for Serverless Workflows被Design Automation Conference(CCF A)会议接收，恭喜凌啸！
2024年09月30日 论文FasDL:An Efficient Serverless-Based Training Architecture with Communication Optimization and Resource Configuration被IEEE Transactions on Computers(CCF A)期刊接收，恭喜星耒！
2024年09月22日 论文DGFedRS:Federated Recommender System Based on Diffusion Augmentation and Guided Denoising被ACM Transactions on Information Systems (CCF-A)期刊接收，恭喜奕成！
2024年09月21日 论文TKGT:Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs被2024 Conference on Empirical Methods in Natural Language Processing（CCF-B）会议接收，恭喜沛文！
2024年09月20日 论文MemoriaNova:Optimizing Memory-Aware Model Inference for Edge Computing被ACM Transactions on Architecture and Code Optimization (CCF-A)期刊接收，恭喜仁均！
2024年08月02日 论文Hermes:Memory-Efficient Pipeline Inference for Large Models on Edge Devices被IEEE International Conference on Computer Design (CCF-B) 会议接收，恭喜学远
2024年07月21日 墨尔本大学教授、IEEE Fellow、欧洲科学院院士Rajkumar Buyya进行访问并进行学术指导
2024年07月08日 实验室本科生队伍参与第十五届中国大学生服务创新创业大赛并荣获东部赛区二等奖
2024年06月30日 激烈漂流与美食比拼：云计算团队的阳羡之旅

代表论文

  1. CCF-A
    Self-supervised vessel segmentation via adversarial learning
    Yuxin Ma, Yang Hua, Hanming Deng, and 6 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
  2. CCF-A
    Robust bayesian neural networks by spectral expectation bound regularization
    Jiaru Zhang, Yang Hua, Zhengui Xue, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
  3. CCF-B
    Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking
    WANG Chaoyi, Yang Hua, Tao Song, and 4 more authors
    In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
  4. CCF-A
    Themis: A Fair Evaluation Platform for Computer Vision Competitions.
    Zinuo Cai, Jianyong Yuan, Yang Hua, and 8 more authors
    In IJCAI, 2021
  5. CCF-B
    Siren: Byzantine-robust federated learning via proactive alarming
    Hanxi Guo, Hao Wang, Tao Song, and 6 more authors
    In Proceedings of the ACM Symposium on Cloud Computing, 2021
  6. CCF-A
    Improving bayesian neural networks by adversarial sampling
    Jiaru Zhang, Yang Hua, Tao Song, and 4 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022
  7. CCF-B
    Perceptual data augmentation for biomedical coronary vessel segmentation
    Yuxin Ma, Shuo Wang, Yang Hua, and 5 more authors
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
  8. CCF-B
    An efficient deep learning approach to IoT intrusion detection
    Jin Cao, Liwei Lin, Ruhui Ma, and 3 more authors
    The Computer Journal, 2022
  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
    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
  11. CCF-B
    Cloud-based Collaborative Agricultural Learning with Flexible Model Size and Adaptive Batch Number
    Hongjian Shi, Ilyas Bayanbayev, Wenkai Zheng, and 2 more authors
    ACM Transactions on Sensor Networks, 2023
  12. CCF-B
    Robust searching-based gradient collaborative management in intelligent transportation system
    Hongjian Shi, Hao Wang, Ruhui Ma, and 4 more authors
    ACM Transactions on Multimedia Computing, Communications and Applications, 2023
  13. CCF-B
    RIDIC: Real-Time Intelligent Transportation System With Dispersed Computing
    Zinuo Cai, Zebin Chen, Zihan Liu, and 3 more authors
    IEEE Transactions on Intelligent Transportation Systems, 2023
  14. 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
  15. 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
  16. CCF-B
    Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion
    Rui Zhang, Yang Hua, Tao Song, and 3 more authors
    In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  17. CCF-B
    MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition
    Rui Zhang, Shuo Wang, Ruhui Ma, and 4 more authors
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
  18. 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
  19. CCF-B
    Edge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud Computing
    Hongjian Shi, Meng Zhang, RuHui Ma, and 3 more authors
    ACM Transactions on the Web, 2023
  20. CCF-A
    Gpfl: Simultaneously learning global and personalized feature information for personalized federated learning
    Jianqing Zhang, Yang Hua, Hao Wang, and 5 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  21. CCF-B
    SPSC: Stream Processing Framework Atop Serverless Computing for Industrial Big Data
    Zinuo Cai, Zebin Chen, Xinglei Chen, and 3 more authors
    IEEE Transactions on Cybernetics, 2024
  22. CCF-A
    Eliminating domain bias for federated learning in representation space
    Jianqing Zhang, Yang Hua, Jian Cao, and 5 more authors
    Advances in Neural Information Processing Systems, 2024
  23. CCF-B
    RFL-LSU: A Robust Federated Learning Approach with Localized Stepwise Updates
    Shuming Fan, Hongjian Shi, Chenpei Wang, and 2 more authors
    ACM Transactions on Internet Technology, 2024
  24. CCF-B
    Privacy-Aware Offloading Strategy via Self-Supervised Feature Mapping in the End-Edge-Cloud System
    Rui Zhang, Xuemei Zhao, Yajing Li, and 6 more authors
    ACM Transactions on Sensor Networks, 2024