A double-level combination approach for demand forecasting of repairable airplane spare parts based on turnover data. - Feng Guo; Jun Diao; Qiuhong Zhao; Dexin Wang; Qiang Sun (Comput. Ind. Eng., 2017)

Achievable Error Exponents for Almost Fixed-Length Binary Classification. - Lin Bai 001; Jun Diao; Lin Zhou 002 (ISIT, 2022)

Achievable Error Exponents for Almost Fixed-Length Hypothesis Testing and Classification. - Lin Zhou 002; Jun Diao; Lin Bai 001 (CoRR, 2022)

Achievable Error Exponents for Almost Fixed-Length M-Ary Hypothesis Testing. - Jun Diao; Lin Zhou 002; Lin Bai 001 (ICASSP, 2023)

Achievable Error Exponents for Almost Fixed-Length M-ary Classification. - Jun Diao; Lin Zhou 002; Lin Bai 001 (ISIT, 2023)

Large Deviations for Outlier Hypothesis Testing with Distribution Uncertainty. - Xiaotian Zhang; Jun Diao; Lin Zhou (ITW, 2024)

Exponentially Consistent Low Complexity Tests for Outlier Hypothesis Testing with Distribution Uncertainty. - Jun Diao; Jingjing Wang; Lin Zhou (CoRR, 2025)

Sequential Outlier Hypothesis Testing Under Universality Constraints. - Jun Diao; Lin Zhou 002 (IEEE Trans. Inf. Theory, 2025)