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Yilong Yang
University of Macau
Machine learningHealth careopenEHRWeb serviceComputer science
22Publications
4H-index
54Citations
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Publications 22
Newest
#1Run Han (UM: University of Macau)H-Index: 2
#2Hui Xiong (ECUST: East China University of Science and Technology)H-Index: 3
Last. Defang Ouyang (UM: University of Macau)H-Index: 12
view all 10 authors...
Abstract Amorphous solid dispersion (SD) is an effective solubilization technique for water-insoluble drugs. However, physical stability issue of solid dispersions still heavily hindered the development of this technique. Traditional stability experiments need to be tested at least three to six months, which is time-consuming and unpredictable. In this research, a novel prediction model for physical stability of solid dispersion formulations was developed by machine learning techniques. 646 stab...
2 CitationsSource
#1Yilong YangH-Index: 4
#2Xiaoshan LiH-Index: 16
Last. Xiaohong ChenH-Index: 3
view all 6 authors...
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 prototype of a software system requires additional efforts, which would increase the overall cost of software development. In this paper, we present an approach with a developed tool to automatic generation of prototypes from formal requirements models. A requirements model consists of a use case diagram, a conceptual class...
1 CitationsSource
#1Yilong Yang (UM: University of Macau)H-Index: 4
#2Wei KeH-Index: 19
Last. Xiaoshan Li (UM: University of Macau)H-Index: 16
view all 3 authors...
Prototyping is an effective and efficient way of requirements validation to avoid introducing errors in the early stage of software development. Our previous work presents a tool RM2PT to automatically generate prototypes from requirements models. The stakeholders can easily check whether the requirements reflect their real needs by investigating the executions of use cases in the generated prototypes. However, the conflict and contradictory of the requirements are hard to be discovered. In this...
Source
#1Yilong Yang (UM: University of Macau)H-Index: 4
#2Wei KeH-Index: 2
Last. Yongxin Zhao (ECNU: East China Normal University)H-Index: 6
view all 4 authors...
Automated service classification plays a crucial role in service discovery, selection, and composition. Machine learning has been used for service classification in recent years. However, the performance of conventional machine learning methods highly depends on the quality of manual feature engineering. In this paper, we present a deep neural network to automatically abstract low-level representation of service description to high-level features without feature engineering and then predict serv...
Source
May 1, 2019 in ICSE (International Conference on Software Engineering)
#1Yilong Yang (UM: University of Macau)H-Index: 4
#2Xiaoshan Li (UM: University of Macau)H-Index: 16
Last. Wei Ke (Macau Polytechnic Institute)H-Index: 2
view all 4 authors...
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 prototype of a software system requires additional efforts, which would increase the overall cost of software development. Based on our proposed approach, we develop RM2PT: a tool for generating prototypes from requirements models automatically. A requirements model consists of a use case diagram, a conceptual class diagram...
2 CitationsSource
#1Zhuyifan Ye (UM: University of Macau)H-Index: 2
#2Yilong Yang (UM: University of Macau)H-Index: 4
Last. Defang Ouyang (UM: University of Macau)H-Index: 12
view all 5 authors...
Background: Pharmacokinetic evaluation is one of the key processes in drug discovery and development. However, current absorption, distribution, metabolism, and excretion prediction models still have limited accuracy. Aim: This study aims to construct an integrated transfer learning and multitask learning approach for developing quantitative structure–activity relationship models to predict four human pharmacokinetic parameters. Methods: A pharmacokinetic data set included 1104 U.S. FDA approved...
2 CitationsSource
#1Yilong YangH-Index: 4
#2Quan ZuH-Index: 1
Last. Xiaoshan LiH-Index: 16
view all 5 authors...
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, it is difficult to apply the model checking to verify requirements due to lacking the details of the design. Unlike other model checking tools, LTSA provides the structure diagram, which can bridge the gap between the requirements and the design. In this paper, we demonstrate the abilities of LTSA shipped with the cl...
Source
#1Yilong YangH-Index: 4
#2Wei KeH-Index: 2
Last. Xiaoshan LiH-Index: 16
view all 4 authors...
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, and developers to specify the requirements of a target system. However, UML lacks the ability to specify the requirements precisely such as the contracts of the system operation, and verify the consistency and refinement of the requirements. These disadvantages result in that the potential faults of software are hard to ...
2 CitationsSource
#1Yilong Yang (UM: University of Macau)H-Index: 4
#2Zhuyifan Ye (UM: University of Macau)H-Index: 2
Last. Defang Ouyang (UM: University of Macau)H-Index: 12
view all 6 authors...
Abstract Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly. Recently, deep learning has been widely applied in many challenging domains because of its important capability of automatic feature extraction. The aim of the present research is to apply deep learning methods to predict pharmaceutical formulations. In this paper, two types of dosage forms we...
7 CitationsSource
#1Yilong YangH-Index: 4
#2Xiaoshan LiH-Index: 16
Last. Zhiming LiuH-Index: 21
view all 5 authors...
Legacy Electronic Health Records (EHRs) systems were not developed with the level of connectivity expected from them nowadays. Therefore, interoperability weakness inherent in the legacy systems can result in poor patient care and waste of financial resources. Large hospitals are less likely to share their data with external hospitals due to economic and political reasons. Motivated by these facts, we aim to provide a set of software implementation guidelines, i.e., MedShare to deal with interop...
1 CitationsSource
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