Hawkesian Graphical Event Models. - Xiufan Yu; Karthikeyan Shanmugam; Debarun Bhattacharjya; Tian Gao; Dharmashankar Subramanian; Lingzhou Xue (PGM, 2020)

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors. - Wanjun Liu; Xiufan Yu; Runze Li (J. Mach. Learn. Res., 2022)

Generalized Causal Tree for Uplift Modeling. - Preetam Nandy; Xiufan Yu; Wanjun Liu; Ye Tu; Kinjal Basu 001; Shaunak Chatterjee (IEEE Big Data, 2023)

Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. - Wanjun Liu; Xiufan Yu; Jialiang Mao; Xiaoxu Wu; Justin Dyer (CIKM, 2023)

Assessment of supervised longitudinal learning methods: Insights from predicting low birth weight and very low birth weight using prenatal ultrasound measurements. - Cancan Zhang; Xiufan Yu; Bo Zhang 115 (Comput. Biol. Medicine, 2024)

Factor Augmented Tensor-on-Tensor Neural Networks. - Guanhao Zhou; Yuefeng Han; Xiufan Yu (AAAI, 2025)

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models. - Guanhao Zhou; Yuefeng Han; Xiufan Yu (CoRR, 2025)

Factor Augmented Supervised Learning with Text Embeddings. - Zhanye Luo; Yuefeng Han; Xiufan Yu (CoRR, 2025)