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Ruoqi Liu
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2020 – today
- 2024
- [j10]Ruoqi Liu
, Pin-Yu Chen, Ping Zhang
:
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. Patterns 5(6): 100973 (2024) - [c7]Ruoqi Liu, Lingfei Wu, Ping Zhang:
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. AAAI 2024: 8805-8814 - [c6]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:
MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CVPR 2024: 9556-9567 - [i8]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang:
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. CoRR abs/2401.12369 (2024) - [i7]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder. CoRR abs/2401.17027 (2024) - [i6]Ruoqi Liu, Lingfei Wu, Ping Zhang:
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. CoRR abs/2403.03791 (2024) - [i5]Ruoqi Liu, Yuelin Bai, Xiang Yue, Ping Zhang:
Teach Multimodal LLMs to Comprehend Electrocardiographic Images. CoRR abs/2410.19008 (2024) - [i4]Seungyeon Lee, Ruoqi Liu, Feixiong Cheng, Ping Zhang:
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data. CoRR abs/2412.20373 (2024) - 2023
- [j9]Ruoqi Liu
, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang
:
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. Nat. Mac. Intell. 5(4): 421-431 (2023) - [j8]Chang Fan
, Jilin Yang, Guosong Zhao
, Junhu Dai, Mengyao Zhu, Jinwei Dong
, Ruoqi Liu
, Geli Zhang
:
Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery. Remote. Sens. 15(9): 2413 (2023) - [c5]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. ICDM 2023: 1079-1084 - [i3]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:
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CoRR abs/2311.16502 (2023) - 2022
- [j7]Ruoqi Liu
, Geli Zhang
, Jinwei Dong
, Yan Zhou
, Nanshan You, Yingli He, Xiangming Xiao
:
Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based Rice Mapping in China. Remote. Sens. 14(13): 3134 (2022) - [c4]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. KDD 2022: 2316-2326 - [i2]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. CoRR abs/2205.09852 (2022) - 2021
- [j6]Tong Yang, Geli Zhang, Yuzhe Li, Jiangwen Fan, Danfeng Sun, Jie Wang, Yuanyuan Di
, Nanshan You, Ruoqi Liu, Qiang Zhang
, Russell B. Doughty
:
Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019. Int. J. Appl. Earth Obs. Geoinformation 102: 102394 (2021) - [j5]Qianlong Wen, Ruoqi Liu, Ping Zhang
:
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. BMC Medical Informatics Decis. Mak. 21(8): 263 (2021) - [j4]Ruoqi Liu
, Lai Wei
, Ping Zhang
:
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data. Nat. Mach. Intell. 3(1): 68-75 (2021) - [j3]Yuanyuan Di
, Geli Zhang
, Nanshan You, Tong Yang
, Qiang Zhang
, Ruoqi Liu
, Russell B. Doughty
, Yangjian Zhang:
Mapping Croplands in the Granary of the Tibetan Plateau Using All Available Landsat Imagery, A Phenology-Based Approach, and Google Earth Engine. Remote. Sens. 13(12): 2289 (2021) - 2020
- [c3]Ruoqi Liu, Xuanlin Liu
, Sihua Wang, Changchuan Yin:
Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. GLOBECOM (Workshops) 2020: 1-6 - [c2]Ruoqi Liu, Changchang Yin, Ping Zhang:
Estimating Individual Treatment Effects with Time-Varying Confounders. ICDM 2020: 382-391 - [c1]Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
:
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. KDD 2020: 862-872 - [i1]Ruoqi Liu, Lai Wei, Ping Zhang:
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. CoRR abs/2007.10152 (2020)
2010 – 2019
- 2019
- [j2]Ruoqi Liu, Ping Zhang
:
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports. BMC Medical Informatics Decis. Mak. 19(1): 279 (2019) - 2018
- [j1]Wen Zhang
, Xiang Yue
, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu:
Predicting drug-disease associations by using similarity constrained matrix factorization. BMC Bioinform. 19(1): 233:1-233:12 (2018)
Coauthor Index
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