EC-Scheduler: A Load-Balanced Scheduler to Accelerate the Straggler Recovery for Erasure Coded Storage Systems. - Xinzhe Cao; Gen Yang; Yunfei Gu; Chentao Wu; Jie Li 002; Guangtao Xue; Minyi Guo; Yuanyuan Dong; Yafei Zhao (IWQoS, 2021)

RCS: A Redirection Computational Scheduler to Accelerate Straggler Recovery for Erasure Coded Cloud Storage System. - Xinzhe Cao; Yunfei Gu; Chentao Wu; Jie Li 002; Minyi Guo; Yuanyuan Dong; Yafei Zhao (ICCD, 2022)

CRISPR-DBA: a deep learning framework for uncertainty quantification of CRISPR off-target activities. - Xinzhe Cao; Peter Minary (BIBM, 2024)

Unsupervised Variable-Level Adversarial Representation Learning for Multivariate Time Series. - Xingquan Xie; Lei Chen; Xinzhe Cao; Tingqin He; Deyu Yang (ICIC (5), 2024)

Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout. - Xinzhe Cao; Yadong Xu; Xiaofeng Yang (CoRR, 2024)

A lightweight All-MLP time-frequency anomaly detection for IIoT time series. - Lei Chen; Xinzhe Cao; Tingqin He; Yepeng Xu; Xuxin Liu; Bowen Hu (Neural Networks, 2025)