Lu-An Dong- Phd
- Engineer at Chinese Minsheng Bank
Lu-An Dong
- Phd
- Engineer at Chinese Minsheng Bank
Credit Risk, Machine Learning, Deep Learning
About
8
Publications
1,064
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194
Citations
Introduction
Current institution
Chinese Minsheng Bank
Current position
- Engineer
Publications
Publications (8)
Research on government service quality can help ensure the success of digital government services and has been the focus of numerous studies that proposed different frameworks and approaches. Most of the existing studies are based on traditional researcher-led methods, which struggle to capture the needs of citizens. In this paper, a citizen-feedba...
The tree ensemble model has been widely employed as a loan evaluation method in credit risk assessment due to its high accuracy and robustness. However, the tree ensemble model is complex and incomprehensible, which restricts its adoption for decision-making in loan evaluation. In this paper, we propose a novel rule extraction method for improving...
With the rise of microblog services in recent years, microblog sentiment classification has been widely studied and applied in many fields like public opinion monitoring, commodity evaluation and market forecasting. Ensemble methods have been widely used in the feature construction and classification stages of microblog sentiment classification due...
In the present study, a new framework was established for studying the evolution of strategic alliance innovation system. Based on data from 514 questionnaires, knowledge absorption capacity, knowledge potential, and knowledge transfer capacity were extracted to constitute variables for strategic alliance innovation system, and incentive mechanism...
Person re-identification is an important task to match pedestrian images from disjointed camera views. Most existing approaches seek a target by learning a global ranking model with the entire information of the image, which ignores the individuality of each person and the different contributions of each body part. In this work, considering the dif...
Loan evaluation is an effective method for credit risk assessment in peer-to-peer (P2P) lending and significantly affects lender investment decisions as well as his/her profits. Besides traditional methods of loan evaluation, machine learning has gained increased attention and has achieved better performance for P2P lending, especially regarding th...
