Weiru Wang
University of Macau
10 Papers
Weiru Wang is an academic researcher from University of Macau. The author has contributed to research in topics: Extreme learning machine & Computer science. The author has an hindex of 3, co-authored 3 publications.
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Papers
Encrypted image classification based on multilayer extreme learning machine
TL;DR: This paper proposes an encrypted image classification framework based on multi-layer extreme learning machine that is able to directly classify encrypted images without decryption and demonstrates that the proposed framework is secure, efficient and accurate for classifying encrypted images.
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Efficient extreme learning machine via very sparse random projection
Chuangquan Chen,Chi-Man Vong,Chi-Man Wong,Weiru Wang,Pak Kin Wong +4 more
- 19 Mar 2018
TL;DR: An efficient ELM via very sparse random projection (VSRP) called VSRP-ELM is proposed for training with large N and L, which adds a novel compression layer between the hidden layer and output layer, which compresses the dimension of thehidden layer from N×L to N×k under projection with random sparse-Bernoulli matrix.
25
DeepOCL: A deep natural network for Object Constraint Language generation from unrestricted nature language
TL;DR: DeepOCL as discussed by the authors is the first deep learning approach to generate OCL expression from the natural language, which takes the unrestricted natural language as inputs and automatically outputs the best-scored OCL candidates without requiring a domain conceptual model.
4
RapidMS: A Tool for Supporting Rapid Microservices Generation and Refinement from Requirements Model
Yang Zhang,Yang Li,Yilong Yang,Shuang Chen,Juntao Gao,Weiru Wang,Yongfeng Yin +6 more
- 01 Oct 2023
TL;DR: A microservices design tool named RapidMS is proposed, which only requires architects to specify potential context boundaries on the requirements model and can automatically calculate the characteristic metrics of the microservices, which indicate the quality of the different aspects of models to support rapid architecture refinements.
3
RM2MS: A Tool for Automatic Identification of Microservices from Requirements Models
Yang Li,Yang Zhang,Yilong Yang,Weiru Wang,Yongfeng Yin +4 more
- 01 Oct 2023
TL;DR: A tool named RM2MS is presented to further alleviate the problem of cloud-native application development to support automatic identification of microservices from the validated requirements model and can automatically analyse the relationship between functionality and data structure, and trade-off non-functional factors for microservices identification.
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