Haoda Fu

15 papers A* 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems.
CoRR
Yiran Huang, Jian-Feng Yang, Haoda Fu
2025 J jnl
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis.
CoRR
Shu Yang, Margaret Gamalo, Haoda Fu
2024 J jnl
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls.
J. Mach. Learn. Res.
Mochuan Liu, Yuanjia Wang, Haoda Fu, Donglin Zeng
2023 J jnl
Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs.
CoRR
Liuqing Yang, Yongdao Zhou, Haoda Fu, Min-Qian Liu, Wei Zheng
2022 J jnl
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization.
Technometrics
Guan Yu, Haoda Fu, Yufeng Liu
2021 J jnl
Query-augmented Active Metric Learning.
CoRR
Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu
2020 J jnl
Boosting Algorithms for Estimating Optimal Individualized Treatment Rules.
CoRR
Duzhe Wang, Haoda Fu, Po-Ling Loh
2020 J jnl
Near-optimal Individualized Treatment Recommendations.
CoRR
Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao
2020 J jnl
Near-optimal Individualized Treatment Recommendations.
J. Mach. Learn. Res.
Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao
2017 J jnl
A unified approach for subgroup identification and individualized treatment recommendation with applications to randomized control trials and observational studies.
Model. Assist. Stat. Appl.
Haoda Fu, Jin Zhou
2016 J jnl
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data
Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He
2015 J jnl
A multi-scale non-parametric and parametric hybrid multi-category recognition algorithm with probabilistic outputs.
J. Exp. Theor. Artif. Intell.
Zhao Lu, Haoda Fu, Gangbing Song
2014 — conf
Identifying risk factors associate with hypoglycemic events.
CICARE
Ran Duan, Haoda Fu, Chenchen Yu
2014 A* conf
Learning from Label and Feature Heterogeneity.
ICDM
Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu
2007 J jnl
High-dimensional pseudo-logistic regression and classification with applications to gene expression data.
Comput. Stat. Data Anal.
Chunming Zhang, Haoda Fu, Yuan Jiang, Tao Yu