Ruoqing Zhu

According to our database, Ruoqing Zhu authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

Vector-Valued Distributional Reinforcement Learning Policy Evaluation: A Hilbert Space Embedding Approach.

Mehrdad Mohammadi, Qi Zheng, Ruoqing Zhu

CoRR, January, 2026

2025

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding.

Yuhan Li, Eugene Han, Yifan Hu, Wenzhuo Zhou, Zhengling Qi, Yifan Cui, Ruoqing Zhu

CoRR, May, 2025

Integrating Prior Knowledge From Genome-Scale Metabolic Model With Metabolomics for Diet Assessment.

Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, Chengxiang Zhai

IEEE Trans. Comput. Biol. Bioinform., 2025

2024

Stage-Aware Learning for Dynamic Treatments.

Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu

J. Mach. Learn. Res., 2024

Random Forest Weighted Local Fréchet Regression with Random Objects.

Rui Qiu, Zhou Yu, Ruoqing Zhu

J. Mach. Learn. Res., 2024

Analyzing the online word of mouth dynamics: A novel approach.

Xian Cao, Timothy B. Folta, Hongfei Li, Ruoqing Zhu

Decis. Support Syst., 2024

Prior-guided longitudinal metabolomic analysis.

Kowshika Sarker, Ruoqing Zhu, Hannah Diane Holscher, ChengXiang Zhai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks.

Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

Trans. Mach. Learn. Res., 2023

AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities.

Yuhan Li, Hongtao Zhang, Keaven Anderson, Songzi Li, Ruoqing Zhu

CoRR, 2023

Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework.

Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu, Annie Qu

CoRR, 2023

Quasi-optimal Learning with Continuous Treatments.

Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu

CoRR, 2023

Quasi-optimal Reinforcement Learning with Continuous Actions.

Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake.

Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, ChengXiang Zhai

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests.

Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui, Xin Zhang

J. Comput. Graph. Stat., October, 2022

Dermoscopic Image Classification with Neural Style Transfer.

Yutong Li, Ruoqing Zhu, Mike Yeh, Annie Qu

J. Comput. Graph. Stat., October, 2022

On Variance Estimation of Random Forests.

Tianning Xu, Ruoqing Zhu, Xiaofeng Shao

CoRR, 2022

Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee.

Rui Qiu, Zhou Yu, Ruoqing Zhu

CoRR, 2022

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

2021

Dermoscopic Dataset for the "Dermoscopic Image Classification with Neural Style Transfer" Manuscript.

Yutong Li, Ruoqing Zhu, Mike Yeh, Annie Qu

Dataset, June, 2021

Dermoscopic Image Classification with Neural Style Transfer.

Yutong Li, Ruoqing Zhu, Annie Qu, Mike Yeh

CoRR, 2021

2020

Estimating heterogeneous treatment effects with right-censored data via causal survival forests.

Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu

CoRR, 2020

2019

orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization.

Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, Xin Zhang

R J., 2019

2018

Semi-Orthogonal Non-Negative Matrix Factorization.

Jack Yutong Li, Ruoqing Zhu, Annie Qu, Han Ye, Zhankun Sun

CoRR, 2018