most citedAn Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

125 citations · 125 across the 1 of their papers we have counts for

collaborators

8 papers

cs.LG2018125 cited

An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

Zhuyifan Ye, Yilong Yang, Xiaoshan Li +2

Background: Pharmacokinetic evaluation is one of the key processes in drug discovery and development. However, current absorption, distribution, metabolism, excretion prediction mo…

cs.LG2018

Deep learning for in vitro prediction of pharmaceutical formulations

Yilong Yang, Zhuyifan Ye, Yan Su +3

Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error approach by individual experiences of pharmaceutical scientists, which is la…

cs.SE2018

Automated Prototype Generation from Formal Requirements Model

Yilong Yang, Xiaoshan Li, Zhiming Liu +3

Prototyping is an effective and efficient way of requirement validation to avoid introducing errors in the early stage of software development. However, manually developing a proto…

cs.SE2018

MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture

Yilong Yang, Quan Zu, Peng Liu +2

This paper takes up the problem of medical resource sharing through MicroService architecture without compromising patient privacy. To achieve this goal, we suggest refactoring the…

cs.SE2018

Integrating UML with Service Refinement for Requirements Modeling and Analysis

Yilong Yang, Jing Yang, Xiaoshan Li

Unified Modeling Language (UML) is the de facto standard for requirements modeling and system design. UML as a visual language can tremendously help customers, project managers, an…

cs.SE2018

Real-time System Modeling and Verification through Labeled Transition System Analyser (LTSA)

Yilong Yang, Xiaoshan Li, Quan Zu

With the advancement of software engineering in recent years, the model checking techniques are widely applied in various areas to do the verification for the system model. However…