Ruoqing Zhu - RankMe

24 papers A* 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Vector-Valued Distributional Reinforcement Learning Policy Evaluation: A Hilbert Space Embedding Approach. CoRR Mehrdad Mohammadi, Qi Zheng, Ruoqing Zhu
2025	J	`jnl`	Integrating Prior Knowledge From Genome-Scale Metabolic Model With Metabolomics for Diet Assessment. IEEE Trans. Comput. Biol. Bioinform. Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, ChengXiang Zhai
2025	J	`jnl`	Reinforcement Learning with Continuous Actions Under Unmeasured Confounding. CoRR Yuhan Li, Eugene Han, Yifan Hu, Wenzhuo Zhou, Zhengling Qi, Yifan Cui, Ruoqing Zhu
2024	J	`jnl`	Analyzing the online word of mouth dynamics: A novel approach. Decis. Support Syst. Xian Cao, Timothy B. Folta, Hongfei Li, Ruoqing Zhu
2024	—	`conf`	Prior-guided longitudinal metabolomic analysis. BIBM Kowshika Sarker, Ruoqing Zhu, Hannah Diane Holscher, ChengXiang Zhai
2024	J	`jnl`	Random Forest Weighted Local Fréchet Regression with Random Objects. J. Mach. Learn. Res. Rui Qiu, Zhou Yu, Ruoqing Zhu
2024	J	`jnl`	Stage-Aware Learning for Dynamic Treatments. J. Mach. Learn. Res. Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
2023	J	`jnl`	AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities. CoRR Yuhan Li, Hongtao Zhang, Keaven Anderson, Songzi Li, Ruoqing Zhu
2023	—	`conf`	Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake. BCB Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, ChengXiang Zhai
2023	J	`jnl`	Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. Trans. Mach. Learn. Res. Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
2023	J	`jnl`	Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. CoRR Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu, Annie Qu
2023	J	`jnl`	Quasi-optimal Learning with Continuous Treatments. CoRR Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu
2023	A*	`conf`	Quasi-optimal Reinforcement Learning with Continuous Actions. ICLR Yuhan Li, Wenzhuo Zhou, Ruoqing Zhu
2023	J	`jnl`	Stage-Aware Learning for Dynamic Treatments. CoRR Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
2022	J	`jnl`	Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
2022	J	`jnl`	Dermoscopic Image Classification with Neural Style Transfer. J. Comput. Graph. Stat. Yutong Li, Ruoqing Zhu, Mike Yeh, Annie Qu
2022	J	`jnl`	Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests. J. Comput. Graph. Stat. Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui, Xin Zhang
2022	J	`jnl`	Efficient gradient boosting for prognostic biomarker discovery. Bioinform. Kaiqiao Li, Sijie Yao, Zhenyu Zhang, Biwei Cao, Christopher M. Wilson, Denise Kalos, Pei Fen Kuan, Ruoqing Zhu, Xuefeng Wang
2022	J	`jnl`	On Variance Estimation of Random Forests. CoRR Tianning Xu, Ruoqing Zhu, Xiaofeng Shao
2022	J	`jnl`	Random Forests Weighted Local Fréchet Regression with Theoretical Guarantee. CoRR Rui Qiu, Zhou Yu, Ruoqing Zhu
2021	J	`jnl`	Dermoscopic Image Classification with Neural Style Transfer. CoRR Yutong Li, Ruoqing Zhu, Annie Qu, Mike Yeh
2020	J	`jnl`	Estimating heterogeneous treatment effects with right-censored data via causal survival forests. CoRR Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu
2019	J	`jnl`	orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. R J. Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, Xin Zhang
2018	J	`jnl`	Semi-Orthogonal Non-Negative Matrix Factorization. CoRR Jack Yutong Li, Ruoqing Zhu, Annie Qu, Han Ye, Zhankun Sun