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
代表论文
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CCF-ASelf-supervised vessel segmentation via adversarial learningIn Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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CCF-ARobust bayesian neural networks by spectral expectation bound regularizationIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
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CCF-BFine-Grained Pose Temporal Memory Module for Video Pose Estimation and TrackingIn ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
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CCF-AThemis: A Fair Evaluation Platform for Computer Vision Competitions.In IJCAI, 2021
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CCF-BSiren: Byzantine-robust federated learning via proactive alarmingIn Proceedings of the ACM Symposium on Cloud Computing, 2021
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CCF-AImproving bayesian neural networks by adversarial samplingIn Proceedings of the AAAI Conference on Artificial Intelligence, 2022
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CCF-BPerceptual data augmentation for biomedical coronary vessel segmentationIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
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CCF-BAn efficient deep learning approach to IoT intrusion detectionThe Computer Journal, 2022
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CCF-AOSTTD: Offloading of splittable tasks with topological dependence in multi-tier computing networksIEEE Journal on Selected Areas in Communications, 2022
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CCF-ASMSS: Stateful Model Serving in Metaverse With Serverless Computing and GPU SharingIEEE Journal on Selected Areas in Communications, 2023
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CCF-BCloud-based Collaborative Agricultural Learning with Flexible Model Size and Adaptive Batch NumberACM Transactions on Sensor Networks, 2023
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CCF-BRobust searching-based gradient collaborative management in intelligent transportation systemACM Transactions on Multimedia Computing, Communications and Applications, 2023
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CCF-BRIDIC: Real-Time Intelligent Transportation System With Dispersed ComputingIEEE Transactions on Intelligent Transportation Systems, 2023
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CCF-AFedcp: Separating feature information for personalized federated learning via conditional policyIn Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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CCF-AFedala: Adaptive local aggregation for personalized federated learningIn Proceedings of the AAAI Conference on Artificial Intelligence, 2023
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CCF-BOnline Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature FusionIn ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
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CCF-BMCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate PropositionIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
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CCF-AAutomatic pipeline parallelism: A parallel inference framework for deep learning applications in 6G mobile communication systemsIEEE Journal on Selected Areas in Communications, 2023
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CCF-BEdge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud ComputingACM Transactions on the Web, 2023
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CCF-AGpfl: Simultaneously learning global and personalized feature information for personalized federated learningIn Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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CCF-BSPSC: Stream Processing Framework Atop Serverless Computing for Industrial Big DataIEEE Transactions on Cybernetics, 2024
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CCF-AEliminating domain bias for federated learning in representation spaceAdvances in Neural Information Processing Systems, 2024
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CCF-BRFL-LSU: A Robust Federated Learning Approach with Localized Stepwise UpdatesACM Transactions on Internet Technology, 2024
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CCF-BPrivacy-Aware Offloading Strategy via Self-Supervised Feature Mapping in the End-Edge-Cloud SystemACM Transactions on Sensor Networks, 2024