Xiufan Yu

According to our database, Xiufan Yu authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Factor Augmented Supervised Learning with Text Embeddings.

Zhanye Luo, Yuefeng Han, Xiufan Yu

CoRR, August, 2025

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models.

Guanhao Zhou, Yuefeng Han, Xiufan Yu

CoRR, May, 2025

Factor Augmented Tensor-on-Tensor Neural Networks.

Guanhao Zhou, Yuefeng Han, Xiufan Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Comput. Biol. Medicine, 2024

2023

Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing.

Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu, Justin Dyer

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Generalized Causal Tree for Uplift Modeling.

Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors.

Wanjun Liu, Xiufan Yu, Runze Li

J. Mach. Learn. Res., 2022

2020

Hawkesian Graphical Event Models.

Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue

Proceedings of the International Conference on Probabilistic Graphical Models, 2020