Semi-Orthogonal Non-Negative Matrix Factorization. - Jack Yutong Li; Ruoqing Zhu; Annie Qu; Han Ye; Zhankun Sun (CoRR, 2018)

orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. - Ruoqing Zhu; Jiyang Zhang; Ruilin Zhao; Peng Xu; Wenzhuo Zhou; Xin Zhang (R J., 2019)

Estimating heterogeneous treatment effects with right-censored data via causal survival forests. - Yifan Cui 001; Michael R. Kosorok; Stefan Wager; Ruoqing Zhu (CoRR, 2020)

Dermoscopic Image Classification with Neural Style Transfer. - Yutong Li 003; Ruoqing Zhu; Annie Qu; Mike Yeh (CoRR, 2021)

Dermoscopic Dataset for the "Dermoscopic Image Classification with Neural Style Transfer" Manuscript. - Yutong Li 003; Ruoqing Zhu; Mike Yeh; Annie Qu (IEEE DataPort, 2021)

Efficient gradient boosting for prognostic biomarker discovery. - Kaiqiao Li; Sijie Yao; Zhenyu Zhang; Biwei Cao; Christopher M. Wilson; Denise Kalos; Pei Fen Kuan; Ruoqing Zhu; Xuefeng Wang (Bioinform., 2022)

Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee. - Rui Qiu; Zhou Yu; Ruoqing Zhu (CoRR, 2022)

On Variance Estimation of Random Forests. - Tianning Xu; Ruoqing Zhu; Xiaofeng Shao (CoRR, 2022)

Dermoscopic Image Classification with Neural Style Transfer. - Yutong Li; Ruoqing Zhu; Mike Yeh; Annie Qu (J. Comput. Graph. Stat., 2022)

Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests. - Joshua Daniel Loyal; Ruoqing Zhu; Yifan Cui 001; Xin Zhang (J. Comput. Graph. Stat., 2022)

Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake. - Kowshika Sarker; Ruoqing Zhu; Hannah D. Holscher; ChengXiang Zhai (BCB, 2023)

Quasi-optimal Reinforcement Learning with Continuous Actions. - Yuhan Li 005; Wenzhuo Zhou; Ruoqing Zhu (ICLR, 2023)

Quasi-optimal Learning with Continuous Treatments. - Yuhan Li 005; Wenzhuo Zhou; Ruoqing Zhu (CoRR, 2023)

Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. - Wenzhuo Zhou; Yuhan Li 005; Ruoqing Zhu; Annie Qu (CoRR, 2023)

Stage-Aware Learning for Dynamic Treatments. - Hanwen Ye; Wenzhuo Zhou; Ruoqing Zhu; Annie Qu (CoRR, 2023)

AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities. - Yuhan Li 005; Hongtao Zhang; Keaven Anderson; Songzi Li; Ruoqing Zhu (CoRR, 2023)

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. - Yifan Chen 004; Tianning Xu; Dilek Hakkani-Tur; Di Jin; Yun Yang; Ruoqing Zhu (Trans. Mach. Learn. Res., 2023)

Prior-guided longitudinal metabolomic analysis. - Kowshika Sarker; Ruoqing Zhu; Hannah Diane Holscher; ChengXiang Zhai (BIBM, 2024)

Analyzing the online word of mouth dynamics: A novel approach. - Xian Cao; Timothy B. Folta; Hongfei Li; Ruoqing Zhu (Decis. Support Syst., 2024)

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

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding. - Yuhan Li; Eugene Han; Yifan Hu; Wenzhuo Zhou; Zhengling Qi; Yifan Cui 001; Ruoqing Zhu (CoRR, 2025)