Fei Xu
Orcid: 0000-0003-1590-5323Affiliations:
- East China Normal University, School of Computer Science and Technology, Shanghai, China
According to our database1,
Fei Xu authored at least 41 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Resource Heterogeneity-Aware and Utilization-Enhanced Scheduling for Deep Learning Clusters.
IEEE Trans. Computers, June, 2026
PatternInsight: An Online Approach to Complex Pattern Detection Over Mobile Data Streams.
IEEE Trans. Mob. Comput., May, 2026
IEEE Trans. Computers, April, 2026
2025
IEEE Trans. Computers, January, 2025
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025
Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning Through Adaptive Aggregation and Selective Training.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025
Espresso: Cost-Efficient Large Model Training by Exploiting GPU Heterogeneity in the Cloud.
Proceedings of the IEEE INFOCOM 2025, 2025
2024
IEEE Trans. Mob. Comput., August, 2024
Tetris: Proactive Container Scheduling for Long-Term Load Balancing in Shared Clusters.
IEEE Trans. Serv. Comput., 2024
HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Hadar: Heterogeneity-Aware Optimization-Based Online Scheduling for Deep Learning Cluster.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
FedClust: Optimizing Federated Learning on Non-IID Data Through Weight-Driven Client Clustering.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud.
IEEE Trans. Parallel Distributed Syst., March, 2023
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023
spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Parallel Distributed Syst., 2022
An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing.
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Computers, 2022
IEEE Internet Things J., 2022
2021
Rationing bandwidth resources for mitigating network resource contention in distributed DNN training clusters.
CCF Trans. High Perform. Comput., 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
2020
Towards trusted and efficient SDN topology discovery: A lightweight topology verification scheme.
Comput. Networks, 2020
E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
2019
Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2019
Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2017
UFalloc: Towards Utility Max-min Fairness of Bandwidth Allocation for Applications in Datacenter Networks.
Mob. Networks Appl., 2017
iSpot: Achieving Predictable Performance for Big Data Analytics with Cloud Transient Servers.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
2016
Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud.
IEEE Trans. Computers, 2016
2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Achieving Application-Level Utility Max-Min Fairness of Bandwidth Allocation in Datacenter Networks.
Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015