学术成果
部分研究成果：
[5] Rui Qiu, Fang Yao, and Zhou Yu (2026). Fréchet regression with Mondrian forests: Finite‑sample
guarantees and ensemble benefits. IEEE Transactions on Information Theory.
[4] Yinfeng Chen, Jin Liu and Rui Qiu∗ (2025). Deep principal support vector machines for nonlinear
sufficient dimension reduction. International Conference on Machine Learning.
[3] Rui Qiu, Shuntuo Xu, and Zhou Yu (2024). Deep neural networks meet random forests. Journal
of the Royal Statistical Society Series B: Statistical Methodology, 2024, 86(5): 1435‑1454.
[2] Yinfeng Chen, Yuling Jiao, Rui Qiu and Zhou Yu (2024). Deep nonlinear sufficient dimension
reduction. Annals of Statistics, 2024, 52(3): 1201‑1226.
[1] Rui Qiu, Zhou Yu, and Ruoqing Zhu (2024). Random Forest Weighted Local Fréchet Regression
with Random objects. Journal of Machine Learning Research, 2024, 25(107): 1‑69.
