Predicting drug-disease associations by using similarity constrained matrix factorization. - Wen Zhang 008; Xiang Yue; Weiran Lin; Wenjian Wu; Ruoqi Liu; Feng Huang 004; Feng Liu (BMC Bioinform., 2018)

Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports. - Ruoqi Liu; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2019)

Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. - Ruoqi Liu; Xuanlin Liu; Sihua Wang; Changchuan Yin (GLOBECOM (Workshops), 2020)

Estimating Individual Treatment Effects with Time-Varying Confounders. - Ruoqi Liu; Changchang Yin; Ping Zhang 016 (ICDM, 2020)

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. - Changchang Yin; Ruoqi Liu; Dongdong Zhang; Ping Zhang 016 (KDD, 2020)

When deep learning meets causal inference: a computational framework for drug repurposing from real-world data. - Ruoqi Liu; Lai Wei; Ping Zhang 016 (CoRR, 2020)

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 050; Russell B. Doughty (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases. - Qianlong Wen; Ruoqi Liu; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2021)

A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data. - Ruoqi Liu; Lai Wei; Ping Zhang 016 (Nat. Mach. Intell., 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 050; Ruoqi Liu; Russell B. Doughty; Yangjian Zhang (Remote. Sens., 2021)

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. - Changchang Yin; Ruoqi Liu; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 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)

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Ping Zhang 016 (ICDM, 2023)

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. - Ruoqi Liu; Katherine M. Hunold; Jeffrey M. Caterino; Ping Zhang 016 (Nat. Mac. Intell., 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., 2023)

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. - Ruoqi Liu; Lingfei Wu 001; Ping Zhang 016 (AAAI, 2024)

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. - Xiang Yue; Yuansheng Ni; Tianyu Zheng; Kai Zhang 033; Ruoqi Liu; Ge Zhang 009; Samuel Stevens 001; Dongfu Jiang; Weiming Ren; Yuxuan Sun 002; Cong Wei 001; Botao Yu; et al. (CVPR, 2024)

Teach Multimodal LLMs to Comprehend Electrocardiographic Images. - Ruoqi Liu; Yuelin Bai; Xiang Yue; Ping Zhang (CoRR, 2024)

CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. - Ruoqi Liu; Pin-Yu Chen; Ping Zhang 016 (Patterns, 2024)

Characterizing Changes in Paddy Rice Flooding Time over the Sanjiang Plain Using Moderate-Resolution Imaging Spectroradiometer Time Series. - Xiangyu Ning; Huapeng Li; Ruoqi Liu (Remote. Sens., 2024)

A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data. - Seungyeon Lee 002; Ruoqi Liu; Feixiong Cheng; Ping Zhang 016 (KDD (1), 2025)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Lang Li 001; Ping Zhang 016 (ACM Trans. Intell. Syst. Technol., 2025)