Model averaging assisted sufficient dimension reduction. - Fang Fang; Zhou Yu 006 (Comput. Stat. Data Anal., 2020)

Random Forest Weighted Local Fréchet Regression with Random Objects. - Rui Qiu; Zhou Yu 006; Ruoqing Zhu (J. Mach. Learn. Res., 2024)

Deep Dimension Reduction for Supervised Representation Learning. - Jian Huang 003; Yuling Jiao; Xu Liao; Jin Liu 011; Zhou Yu 006 (IEEE Trans. Inf. Theory, 2024)

New forest-based approaches for sufficient dimension reduction. - Shuang Dai; Ping Wu; Zhou Yu 006 (Stat. Comput., 2024)

Neural Networks Perform Sufficient Dimension Reduction. - Shuntuo Xu; Zhou Yu 006 (AAAI, 2025)

Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects. - Hang Yuan; Christina Dan Wang; Zhou Yu 006 (CoRR, 2025)

Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction. - Jun Jin; Chao Ying; Zhou Yu 006 (Technometrics, 2025)

Not All Tokens Are What You Need In Thinking. - Hang Yuan; Bin Yu; Haotian Li; Shijun Yang; Christina Dan Wang; Zhou Yu 006; Xueyin Xu; Weizhen Qi; Kai Chen (CoRR, 2025)