Qiao Yu

Orcid: 0000-0002-6542-7270

Affiliations:
  • Huawei Munich Research Center, Germany
  • Technical University of Berlin, Germany (PhD 2025)
  • TU Dortmund, Department of Computer Science, Design Automation for Embedded Systems Group, germany (former)
  • University of Coimbra, CISUC, DEI, Portugal (former)
  • National Taiwan University of Science and Technology, Department of Computer Science and Information Engineering, Taipei, Taiwan (former)


According to our database1, Qiao Yu authored at least 11 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
M<sup>2</sup>-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure.
CoRR, July, 2025

A hierarchical framework for memory failure prediction in reliable cloud services.
PhD thesis, 2025

SmartMem: Memory Failure Prediction Challenge at WWW 2025.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024
Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Investigating Memory Failure Prediction Across CPU Architectures.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2020
Using a Set of Triangle Inequalities to Accelerate K-means Clustering.
Proceedings of the Similarity Search and Applications - 13th International Conference, 2020

2017
Accelerating K-Means by Grouping Points Automatically.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017


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