Accelerating K-Means by Grouping Points Automatically. - Qiao Yu 003; Bi-Ru Dai (DaWaK, 2017)

Using a Set of Triangle Inequalities to Accelerate K-means Clustering. - Qiao Yu 003; Kuan-Hsun Chen; Jian-Jia Chen (SISAP, 2020)

First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. - Jasmin Bogatinovski; Odej Kao; Qiao Yu 003; Jorge Cardoso 001 (IEEE Big Data, 2022)

An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. - Paolo Notaro; Qiao Yu 003; Soroush Haeri; Jorge Cardoso 001; Michael Gerndt (CCGrid, 2023)

HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability. - Qiao Yu 003; Wengui Zhang; Paolo Notaro; Soroush Haeri; Jorge Cardoso 001; Odej Kao (DSN, 2023)

Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. - Qiao Yu 003; Wengui Zhang; Jorge Cardoso 001; Odej Kao (ICCAD, 2023)

Investigating Memory Failure Prediction Across CPU Architectures. - Qiao Yu 003; Wengui Zhang; Min Zhou 006; Jialiang Yu; Zhenli Sheng; Jasmin Bogatinovski; Jorge Cardoso 001; Odej Kao (DSN-S, 2024)

Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters. - Qiao Yu 003; Jorge Cardoso 001; Odej Kao (ICDCS, 2024)

SmartMem: Memory Failure Prediction Challenge at WWW 2025. - Min Zhou 006; Hongyi Xie; Qiao Yu 003; Jialiang Yu; Zhenli Sheng (WWW (Companion Volume), 2025)

A hierarchical framework for memory failure prediction in reliable cloud services. - Qiao Yu 003 (2025)

M2-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure. - Hongyi Xie; Min Zhou 006; Qiao Yu 003; Jialiang Yu; Zhenli Sheng; Hong Xie 004; Defu Lian (CoRR, 2025)