I’m a second-year Ph.D. student at the Department of Computer Science and Engineering, The Ohio State University (OSU). I’m fortunately working with Prof. Ping Zhang in AIMed (Artificial Intelligence in Medicine) Lab. My research interests focus on data mining, causal inference and their applications in healthcare.
A deep learning framework for drug repurposing via emulating clinical trials on real world patient data
Ruoqi Liu, Lai Wei, Ping Zhang
Nature Machine Intelligence, Jan. 2021.
Selected media coverage: IN BRIEF of Nature Reviews Drug Discovery, Headline of OHIO STATE NEWS, Top 5% of all research ouputs scores by Altmetric
Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu, Changchang Yin, Ping Zhang
IEEE International Conference on Data Mining. ICDM 2020. (Acceptance rate: 91/930 = 9.8%, regular paper, oral presentation)
Identifying sepsis subphenotypes via time-aware multi-modal auto-encoder
Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2020. (Acceptance rate: 216/1279 = 16.9%, research track)
[Paper] [Code] [Video]
Clinical connectivity map for drug repurposing: using laboratory tests to bridge drugs and diseases
Qianlong Wen*, Ruoqi Liu*, Ping Zhang (*equal contributions)
International Conference on Intelligent Biology and Medicine. ICIBM 2020.
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports
Ruoqi Liu, Ping Zhang
BMC Medical Informatics and Decision Making (19:279, 2019)
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 Bioinformatics (19:233, 2018)
[Paper] [Web Server][Code]
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network
Wen Zhang, Xiang Yue, Feng Huang, Ruoqi Liu, Yanlin Chen, Feng Huang, Chunyang Ruan
Methods (145:51-59, 2018)
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