Ruoqi Liu

30 papers A* 6Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access.
EACL (System Demonstrations)
Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Ping Zhang, Sachin Kumar
2025 — conf
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data.
KDD (1)
Seungyeon Lee, Ruoqi Liu, Feixiong Cheng, Ping Zhang
2025 J jnl
ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access.
CoRR
Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Lang Li, Ping Zhang, Sachin Kumar
2025 J jnl
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.
ACM Trans. Intell. Syst. Technol.
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang
2024 J jnl
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data.
CoRR
Seungyeon Lee, Ruoqi Liu, Feixiong Cheng, Ping Zhang
2024 J jnl
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation.
Patterns
Ruoqi Liu, Pin-Yu Chen, Ping Zhang
2024 J jnl
Characterizing Changes in Paddy Rice Flooding Time over the Sanjiang Plain Using Moderate-Resolution Imaging Spectroradiometer Time Series.
Remote. Sens.
Xiangyu Ning, Huapeng Li, Ruoqi Liu
2024 J jnl
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder.
CoRR
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang
2024 A* conf
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.
AAAI
Ruoqi Liu, Lingfei Wu, Ping Zhang
2024 J jnl
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.
CoRR
Ruoqi Liu, Lingfei Wu, Ping Zhang
2024 A* conf
MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
CVPR
Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
2024 J jnl
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.
CoRR
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang
2024 J jnl
Teach Multimodal LLMs to Comprehend Electrocardiographic Images.
CoRR
Ruoqi Liu, Yuelin Bai, Xiang Yue, Ping Zhang
2023 J jnl
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis.
Nat. Mac. Intell.
Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang
2023 A* conf
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder.
ICDM
Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang
2023 J jnl
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
CoRR
Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
2023 J jnl
Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery.
Remote. Sens.
Chang Fan, Jilin Yang, Guosong Zhao, Junhu Dai, Mengyao Zhu, Jinwei Dong, Ruoqi Liu, Geli Zhang
2022 A* conf
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.
KDD
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
2022 J jnl
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.
CoRR
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
2022 J jnl
Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based Rice Mapping in China.
Remote. Sens.
Ruoqi Liu, Geli Zhang, Jinwei Dong, Yan Zhou, Nanshan You, Yingli He, Xiangming Xiao
2021 J jnl
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data.
Nat. Mach. Intell.
Ruoqi Liu, Lai Wei, Ping Zhang
2021 J jnl
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases.
BMC Medical Informatics Decis. Mak.
Qianlong Wen, Ruoqi Liu, Ping Zhang
2021 J jnl
Mapping Croplands in the Granary of the Tibetan Plateau Using All Available Landsat Imagery, A Phenology-Based Approach, and Google Earth Engine.
Remote. Sens.
Yuanyuan Di, Geli Zhang, Nanshan You, Tong Yang, Qiang Zhang, Ruoqi Liu, Russell B. Doughty, Yangjian Zhang
2021 J jnl
Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019.
Int. J. Appl. Earth Obs. Geoinformation
Tong Yang, Geli Zhang, Yuzhe Li, Jiangwen Fan, Danfeng Sun, Jie Wang, Yuanyuan Di, Nanshan You, Ruoqi Liu, Qiang Zhang, Russell B. Doughty
2020 — conf
Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks.
GLOBECOM (Workshops)
Ruoqi Liu, Xuanlin Liu, Sihua Wang, Changchuan Yin
2020 A* conf
Estimating Individual Treatment Effects with Time-Varying Confounders.
ICDM
Ruoqi Liu, Changchang Yin, Ping Zhang
2020 A* conf
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder.
KDD
Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
2020 J jnl
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data.
CoRR
Ruoqi Liu, Lai Wei, Ping Zhang
2019 J jnl
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports.
BMC Medical Informatics Decis. Mak.
Ruoqi Liu, Ping Zhang
2018 J jnl
Predicting drug-disease associations by using similarity constrained matrix factorization.
BMC Bioinform.
Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu