Ruoqi Liu

According to our database, Ruoqi Liu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation.

Ruoqi Liu, Pin-Yu Chen, Ping Zhang

Patterns, 2024

Teach Multimodal LLMs to Comprehend Electrocardiographic Images.

Ruoqi Liu, Yuelin Bai, Xiang Yue, Ping Zhang

CoRR, 2024

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.

Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang

CoRR, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.

Ruoqi Liu, Lingfei Wu, Ping Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery.

Chang Fan, Jilin Yang, Guosong Zhao, Junhu Dai, Mengyao Zhu, Jinwei Dong, Ruoqi Liu, Geli Zhang

Remote. Sens., May, 2023

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis.

Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang

Nat. Mac. Intell., April, 2023

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder.

Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based Rice Mapping in China.

Ruoqi Liu, Geli Zhang, Jinwei Dong, Yan Zhou, Nanshan You, Yingli He, Xiangming Xiao

Remote. Sens., 2022

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.

Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Mapping Croplands in the Granary of the Tibetan Plateau Using All Available Landsat Imagery, A Phenology-Based Approach, and Google Earth Engine.

Yuanyuan Di, Geli Zhang, Nanshan You, Tong Yang, Qiang Zhang, Ruoqi Liu, Russell B. Doughty, Yangjian Zhang

Remote. Sens., 2021

A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data.

Ruoqi Liu, Lai Wei, Ping Zhang

Nat. Mach. Intell., 2021

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases.

Qianlong Wen, Ruoqi Liu, Ping Zhang

BMC Medical Informatics Decis. Mak., 2021

Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019.

Tong Yang, Geli Zhang, Yuzhe Li, Jiangwen Fan, Danfeng Sun, Jie Wang, Yuanyuan Di, Nanshan You, Ruoqi Liu, Qiang Zhang, Russell B. Doughty

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

When deep learning meets causal inference: a computational framework for drug repurposing from real-world data.

Ruoqi Liu, Lai Wei, Ping Zhang

CoRR, 2020

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder.

Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Estimating Individual Treatment Effects with Time-Varying Confounders.

Ruoqi Liu, Changchang Yin, Ping Zhang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks.

Ruoqi Liu, Xuanlin Liu, Sihua Wang, Changchuan Yin

Proceedings of the IEEE Globecom Workshops, 2020

2019

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports.

Ruoqi Liu, Ping Zhang

BMC Medical Informatics Decis. Mak., 2019

2018

Predicting drug-disease associations by using similarity constrained matrix factorization.

Wen Zhang, Xiang Yue, Weiran Lin, Wenjian Wu, Ruoqi Liu, Feng Huang, Feng Liu

BMC Bioinform., 2018