A Unified View of Multi-Label Performance Measures. - Xi-Zhu Wu; Zhi-Hua Zhou (ICML, 2017)

Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. - Xi-Zhu Wu; Song Liu; Zhi-Hua Zhou (ICML, 2019)

Multi-Label Learning with Deep Forest. - Liang Yang; Xi-Zhu Wu; Yuan Jiang 001; Zhi-Hua Zhou (ECAI, 2020)

Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. - Tian-Zuo Wang; Xi-Zhu Wu; Sheng-Jun Huang; Zhi-Hua Zhou (ICML, 2020)

Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. - Yao-Xiang Ding 001; Xi-Zhu Wu; Kun Zhou 001; Zhi-Hua Zhou (NeurIPS, 2022)

Model Reuse With Reduced Kernel Mean Embedding Specification. - Xi-Zhu Wu; Wenkai Xu; Song Liu; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)