Ruoqi Liu

Orcid: 0000-0002-2770-0651

According to our database1, Ruoqi Liu authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.
CoRR, 2024

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs.
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.
Remote. Sens., May, 2023

Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis.
Nat. Mac. Intell., April, 2023

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
CoRR, 2023

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder.
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.
Remote. Sens., 2022

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.
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.
Remote. Sens., 2021

A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data.
Nat. Mach. Intell., 2021

Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases.
BMC Medical Informatics Decis. Mak., 2021

Satellite observed rapid green fodder expansion in northeastern Tibetan Plateau from 2010 to 2019.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data.
CoRR, 2020

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder.
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.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks.
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.
BMC Medical Informatics Decis. Mak., 2019

2018
Predicting drug-disease associations by using similarity constrained matrix factorization.
BMC Bioinform., 2018


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